Updated on 2026/09/12

写真a

 
YOKOTA TAKAYOSHI
 
Organization
Center for Data Science and Artificial Intelligence Education Specially Appointed Professor
Title
Specially Appointed Professor
Contact information
メールアドレス
External link

Degree

  • 工学博士 ( 東京工業大学 )

Research Interests

  • ITS、位置情報処理、交通システム、ディジタル信号処理、最適化手法、ロジスティクス

Research Areas

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Control and system engineering

Education

  • Carnegie Mellon University   Center for Machine Translation   visiting researcher

    1988.9 - 1989.6

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    Country: United States

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  • Tokyo Institute of Technology   Interdisciplinary Graduate School of Science and Engineering

    1981.4 - 1984.3

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  • Tokyo Institute of Technology

    1979.4 - 1981.3

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  • Tokyo Institute of Technology   School of Engineering

    1975.4 - 1979.3

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Research History

  • Institute of Science Tokyo   Specially Appointed Professor

    2025.4

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  • 東京情報デザイン専門職大学   情報デザイン学部   教授、メディアセンター長

    2023.4 - 2025.3

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  • Tsukuba Gakuin University   Faculty of business and informatics   Professor

    2022.4 - 2023.3

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  • Tottori University   Graduate School of Engineering   Professor

    2012.4 - 2022.3

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  • Kyoto University   Visiting Professor

    2009.4 - 2012.3

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  • (株)日立製作所CIS事業部主幹技師

    2007.10 - 2009.3

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  • Hitachi, Ltd.,   Hitachi Research Laboratory

    1984.4 - 2009.3

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Professional Memberships

  • IEEE

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  • JAPAN SOCIETY OF TRAFFIC ENGINEERS

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  • THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS

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  • THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS

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Committee Memberships

  • 数理・データサイエンス・AI教育強化拠点コンソーシアム, 教育用データベース分科会   副主査  

    2026.4   

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  • 電子情報通信学会 ニュース委員会   委員  

    2025.5   

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  • 数理・データサイエンス・AI教育強化拠点コンソーシアム   教育用データベース分科会委員  

    2025.4 - 2026.3   

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  • 電子情報通信学会   ITS/WBS特集号 編集委員  

    2020.4 - 2021.5   

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  • 電子情報通信学会   英文誌(A) ITS技術小特集号 編集委員  

    2020.4 - 2021.3   

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  • IEEE広島支部Section Student Branch   Counselor  

    2020.1 - 2021.1   

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  • 電子情報通信学会ITS研究専門委員会   顧問  

    2019.6   

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    Committee type:Academic society

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  • 鳥取県近未来技術等地域実装協議会   構成員  

    2019.4 - 2022.3   

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    Committee type:Municipal

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  • 電子情報通信学会基礎境界ソサイエティー   論文誌ITS特集号 編集委員長  

    2019.4 - 2020.3   

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  • 電子情報通信学会ITS研究専門委員会   委員長  

    2017.6 - 2019.5   

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    Committee type:Academic society

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  • IEEE広島支部   理事  

    2017.1 - 2019.1   

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    Committee type:Academic society

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  • 電子情報通信学会中国支部   支部委員  

    2015.4 - 2017.3   

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    Committee type:Academic society

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Papers

  • Vehicle Localization Based on Roadside Object Detection Using YOLOv8 Reviewed

    Takayoshi Yokota

    Sensrors & Transducers   273 ( 2 )   30 - 38   2026.6

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    Authorship:Lead author   Publishing type:Research paper (scientific journal)  

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  • Roadside Object Detection–Based Vehicle Localization Reviewed

    Takayoshi Yokota

    Proceedings of the 6th Winter IFSA Conference on Automation, Robotics & Communications for Industry 4.0/5.0/6.0 (ARCI' 2026)   20 - 23   2026.3

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    Authorship:Lead author   Language:English  

    DOI: 10.13140/RG.2.2.34764.27526

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  • Vehicle Localization Algorithm with Lane Discrimination Based on Inertial and Geomagnetic Sensor Data for GNSS-Denied Environments and Its Evaluation for Different Vehicles and Drivers Reviewed

    Takayoshi Yokota

    Sensors & Transducers Journal   268 ( 1 )   19 - 27   2025.4

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  • Vehicle Localization Algorithm with Lane Discrimination Based on Inertial and Geomagnetic Sensor Data for GNSS-Denied Environments Reviewed

    2025.2

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  • Network-wide Localization Algorithm Based on MEMS Sensor Data and Its Evaluation Reviewed

    Takayoshi Yokota

    Sensors & Transducers   265 ( 12 )   17 - 26   2024.5

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  • Network-wide Vehicle Localization Algorithm based on MEMS Sensor Data Reviewed

    Takayoshi Yokota

    2024.2

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    DOI: 10.13140/RG.2.2.20923.18722

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  • Vehicle Localization by Correlated MEMS Sensor Data with Velocity Compensation Reviewed

    Takayoshi Yokota

    IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) 2023   2023.9

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  • Vehicle Localization by Optimally Weighted Use of Cross-Correlated MEMS Sensor Data Reviewed

    Takayoshi Yokota

    Sensors & Transducers   261 ( 2 )   1 - 9   2023.6

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  • Vehicle Localization by Optimally Weighted Use of MEMS Sensor Data Reviewed

    Takayoshi Yokota, Taiga Yamagiwa

    3rd IFSA Winter Conference on Automation, Robotics and Communications for Industry 4.0/5.0 (ARCI' 2023)   2023.2

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    Authorship:Lead author   Language:English  

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  • Vehicle Localization Method Based on MEMS Sensor Data Comprising Pressure, Acceleration and Angular Velocity Reviewed

    Taiga Yamagiwa, Takayoshi Yokota

    IEEE ICMA 2022 Conference   2022.8

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    Authorship:Corresponding author  

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  • Vehicle Localization by Altitude Data Matching in Spatial Domain and its Fusion with Dead Reckoning Reviewed

    Takayoshi Yokota

    International Journal of Mechatronics and Automation   8 ( 4 )   208 - 216   2021.12

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

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  • Vehicle Localization Based on MEMS Sensor Data Reviewed

    Takayoshi Yokota

    2021.9

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  • Vehicle localization by dynamic programming from altitude and yaw rate time series acquired by MEMS sensor Reviewed

    Takayoshi Yokota

    SICE Journal of Control, Measurement, and System Integration   14 ( 1 )   78 - 88   2021.4

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    Publishing type:Research paper (scientific journal)   Publisher:Informa UK Limited  

    DOI: 10.1080/18824889.2021.1906018

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  • Localization Algorithm Based on Altitude Profile Matching Derived from Barometer Reviewed

    Takayoshi Yokota

    IEEE ICMA2020   2020.10

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    Authorship:Lead author   Publishing type:Research paper (international conference proceedings)  

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  • Localization Algorithm Based on Altitude Profile Matching Using Atmospheric Pressure Sensor Reviewed

    Takayoshi Yokota

    ITS World Congress 2020 Los Angels (accepted but conference was cancelled due to COVID-19, and transferred to ITS America annual meeting 2021.)   2020.10

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  • Localization Algorithm Based on Altitude Time Series in GNSS-Denied Environment Reviewed

    Takayoshi Yokota

    SICE 2020   2020.9

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • Heuristic Algorithm for the Co-Operative Picking with AGVs in Warehouse Reviewed

    Takayoshi Yokota

    SICE Journal of Control, Measurement, and System Integration   13 ( 3 )   57 - 65   2020.5

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  • Utilization of Location Information in ITS and Logistics Reviewed

    Takayoshi YOKOTA

    IEICE ESS Fundamentals Review   13 ( 2 )   133 - 141   2019.10

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    Authorship:Lead author   Publishing type:Research paper (scientific journal)   Publisher:Institute of Electronics, Information and Communications Engineers (IEICE)  

    DOI: 10.1587/essfr.13.2_133

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  • A Fast Map-Matching Algorithm based on a Global Measure and Dynamic Programming for Sparse Probe Data Reviewed

    Takayoshi Yokota

    2019.10

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  • Mn-Max-Strategy-Based Optimum Co-Operative Picking with AGVs in Warehouse Reviewed

    Takayoshi Yokota

    2019.9

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • Breaking Deadlocks in Multi-Agent Reinforcement Learning with Sparse Interaction Reviewed

    TToshihiro Kujirai, Takayoshi Yokota

    PRICAI-2019(The 16th Pacific Rim International Conference on Artificial Intelligence)   2019.8

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  • Fast and Robust Map-Matching Algorithm based on a Global Measure and Dynamic Programming for Sparse Probe Data Reviewed

    Takayoshi Yokota, Mariko Okude, Toshiyuki Sakamoto, Reiji Kitahara

    IET Intelligent Transport Systems   2019.7

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

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  • Greedy action selection and pessimistic Q-value updating in multi-agent reinforcement learning with sparse interaction Reviewed

    Toshihiro Kujirai, Takayoshi Yokota

    SICE Journal of Control, Measurement and System Integration   12 ( 3 )   76 - 84   2019.5

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  • Greedy action selection and pessimistic Q-value updates in cooperative Q-learning Reviewed

    Toshiriho Kujierai, Takayoshi Yokota

    SICE2018   2018.9

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  • Development of Number Count System for Oncoming Vehicle using On-vehicle Camera Reviewed

    Yoshito Yabuta, Takayoshi Yokota

    159 - 162   2018.5

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    Language:Japanese  

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  • Fast Optimization Algorithm for Conveyance Orders and Paths of Conveyance Robots in Warehouses Reviewed

    Tsubasa Tamura, Takayoshi Yokota

    2016.9

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  • Application of ICT and ITS

    Takayoshi Yokota, Dai Tamagawa

    Urban Transportation and Logistics: Health, Safety, and Security Concerns   245 - 254   2013.1

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    Language:English   Publishing type:Part of collection (book)   Publisher:Taylor and Francis  

    DOI: 10.1201/b16346

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  • Route Identification of Freight Vehicles Tour Using GPS Probe Data and its Application to Evaluation of On and Off Ramp Usage of Expressways

    Takayoshi Yokota and Dai tamagawa

    Procedia - Social and Behavioral Sciences   39   255 - 266   2012.9

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  • ANALYSIS OF EXPRESSWAY USE OF FREIGHT VEHICLES BY USING PROBE DATA AND ITS TRIP VELOCITY EVALUATION WITH RESPECT TODETINATION ORIENTATION Reviewed

    68 ( 5 )   649 - 657   2012.5

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    Language:Japanese  

    DOI: 10.2208/jscejipm.68.I_649

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  • 特徴空間軌跡の追跡による動的交通状況予測 Reviewed

    熊谷正俊, 蛭田智明, 奥出真理子, 横田孝義

    情報処理学会論文誌   53 ( 1 )   243 - 250   2012.1

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  • An Autonomous Vehicle Controlled by Stereo Robot Vision System using Two-Layer LCD

    Yabuta Yoshito, Arii Shiro, Yokota Takayoshi

    Proceedings of JSPE Semestrial Meeting   2012   511 - 512   2012

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    Language:Japanese   Publisher:The Japan Society for Precision Engineering  

    Stereo robot vision system achieve stereopsis by using two cameras. To solve the correspondence problem between right and left images, we proposed a pattern matching technology and applied the technology to a stereovision system. The proposed pattern matching technology employs a liquid crystal display (LCD) and utilizes the polarization of light. We use the LCD function of controlling light penetration for our pattern matching. We use two LCDs arranged in piles. The image from each camera is displayed on one of the LCDs; the correspondence between the two images is then judged by the light intensity through the two-layer LCD. Using this two-layer LCD, correspondence between complete objects in the images is roughly obtained, and the calculation for the pattern machining can be reduced. To confirm the effectiveness of the proposed technology, the stereo camera was mounted on a remote-control model car, and an experiment was conducted for automated driving. The images of the target vehicle and other objects in front of the autonomous vehicle obtained from the right and left cameras were displayed on the two-layer LCD, and the distances to the preceding car and other objects were calculated through triangulation.

    DOI: 10.11522/pscjspe.2012A.0.511.0

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  • Route identification of freight vehicles' tour using GPS probe data and its application to evaluation of on and off ramp usage of expressways Reviewed

    Takayoshi Yokota, Dai Tamagawa

    SEVENTH INTERNATIONAL CONFERENCE ON CITY LOGISTICS   39   255 - 266   2012

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1016/j.sbspro.2012.03.106

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  • STUDY ON THE ROAD USAGE BEHAVIOUR OF FREIGHT VEHICLES IN KEIHANSHIN AREA BY USING PROBE DATA Reviewed

    Takayoshi YOKOTA, Dai TAMAGAWA

    Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)   67 ( 5 )   643 - 656   2011.6

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Civil Engineers  

    DOI: 10.2208/jscejipm.67.67_i_643

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  • 貨物車のプローブデータ処理による都市高速道路の利用有無と旅行速度の異方性の評価

    横田孝義, 玉川大

    第43回土木計画学研究・講演集   2011.5

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  • プローブデータおよびETCデータを活用した 都市内定期集配送車両の行動特性に関する分析

    玉川 大, 横田 孝義, 前川 和彦, 河本 一郎

    土木学会論文集D3(土木計画学)特集号   67 ( 5 )   715 - 726   2011.5

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  • Constructing two-layered freight traffic network model from truck probe data Reviewed

    Takayoshi Yokota, Dai Tamagawa

    International Journal of Intelligent Transportation Systems Research   9 ( 1 )   1 - 11   2011.1

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s13177-010-0021-x

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  • An evaluation of urban road network from a viewpoint of logistics -A case study of Keihanshin Area in Japan- Reviewed

    Dai Tamagawa, Takayoshi Yokota

    The 3rd International Conference on Transportation and Logistics (T-LOG 2010) Date: September 6-8, 2010 Place: Nishijin Plaza, Kyushu University in Fukuoka City, Japan   2010.9

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  • An Analysis of Urban Freight Transport Behavior Using A Probe Car System –A Case Study of Keihanshin Area in Japan – Reviewed

    Takayoshi Yokota, Dai Tamagawa

    12th World Congress of Transport Research, Lisbon,July,2010   2010.7

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  • Constructing Two Layer Adaptive Traffic Network Model From Truck Probe Data Reviewed

    Takayoshi Yokota, Dai Tamagawa

    4th International Symposium on Transportation Network Reliability July 22-23, 2010 University of Minnesota   2010.7

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  • 高速道路の通行止がトラックのとしない定期便配送へ与える影響に関する分析

    玉川大, 横田孝義, 前川和彦

    第41回土木計画学研究・講演集   2010.5

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  • プローブデータによる京阪神地域貨物車交通の道路利用特性に関する分析

    横田孝義, 玉川大

    第41回土木計画学研究・講演集   2010.5

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  • 阪神高速道路の大型車交通のランプ間ODの空間、時間的性質に関する研究 Reviewed

    横田孝義, 玉川大, 谷口栄一, 河本一郎

    第40回土木計画学研究・講演集   2009.11

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  • Interpolation and forecast application of floating car data based on principal component analysis

    Masatoshi Kumagai, Takumi Fushiki, Takayoshi Yokota, Kazuya Kimita

    Intelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005   1   452 - 459   2009

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  • プローブデータを用いたリアルタイム推定補完技術の評価

    蛭田智明, 熊谷正俊, 鈴木研二, 横田孝義

    DICOMO2008シンポジウム   1616 - 1620   2008.7

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  • Large-scale Experiment on Real-time Imputation Method For Sparse Floating Car Data,

    Tomoaki Hiruta,Masatoshi Kumagai, Kenichi Suzuki, Takayoshi Yokota

    2007.10

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  • Dynamic prediction of traffic congestion using feature space trajectory

    KUMAGAI Masatoshi, HIRUTA Tomoaki, TANIKOSHI Koichiro, YOKOTA Takayoshi

    IEICE technical report   2007 ( 90 )   1 - 6   2007.9

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    Language:Japanese   Publisher:The Institute of Electronics, Information and Communication Engineers  

    This paper discusses a dynamic prediction method of traffic congestion using sparse floating car data (FCD.) Floating cars are effective way to collect traffic information; however, because of the limitation of the number of floating cars, there is a large amount of missing data with FCD. On the other hand, traditional prediction methods are designed on the purpose of utilizing road-side sensors with no missing data. Therefore, traditional methods cannot work with sparse FCD. In an effort to address this problem, we developed a new prediction method based on feature space projection. The method is the extension of a spatial imputation method which we previously proposed for floating car systems, and prediction is achieved by tracing projection trajectory in the feature space. This paper is an interim report of the development, and we started testing the algorithm by evaluating prediction accuracy independently of imputation process.

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  • 希薄なプローブデータを用いたリアルタイム推定補完技術

    蛭田 智昭, 熊谷 正俊, 鈴木 研二, 横田 孝義

    情報処理学会研究報告   2007 ( 90 )   21 - 26   2007.9

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  • Enlargement of Traffic Information Coverage Area Using Selective Imputation of Floating Car Data Reviewed

    KUMAGAI Masatoshi, HIRUTA Tomoaki, FUSHIKI Takumi, YOKOTA Takayoshi

    IEEJ Transactions on Electronics, Information and Systems   127 ( 7 )   1131 - 1137   2007.7

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    Language:Japanese   Publisher:The Institute of Electrical Engineers of Japan  

    This paper discusses a real-time imputation method for sparse floating car data (FCD.) Floating cars are effective way to collect traffic information; however, because of the limitation of the number of floating cars, there is a large amount of missing data with FCD. In an effort to address this problem, we previously proposed a new imputation method based on feature space projection. The method consists of three major processes: (i) determination of a feature space from past FCD history; (ii) feature space projection of current FCD; and (iii) estimation of missing data performed by inverse projection from the feature space. Since estimation is achieved on each feature space axis that represents the spatial correlated component of FCD, it performs an accurate imputation and enlarges information coverage area. However, correlation difference among multiple road-links sometimes causes a trade-off problem between the accuracy and the coverage. Therefore, we developed an additional function in order to filter the road-links that have low correlation with the others. The function uses spectral factorization as filtering index, which is suitable to evaluate the correlation on the multidimensional feature space. Combination use of the imputation method and the filtering function decreases maximum estimation error-rate from 0.39 to 0.24, keeping 60% coverage area against sparse FCD of 15% observations.

    DOI: 10.1541/ieejeiss.127.1131

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  • プローブカーによる交通情報予測と推定 Reviewed

    横田孝義

    人工知能学会誌   22 ( 4 )   523 - 528   2007.4

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  • 特徴空間の動的構成によるプローブデータのリアルタイム補完技術

    熊谷正俊, 蛭田智明, 谷越浩一郎, 横田孝義

    情報処理学会研究報告   2006 ( 120 )   23 - 30   2006.11

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  • Spatial Inerpolation of Real-Time Floating Car Data Based on Multiple Link Correlation in Feature Space Reviewed

    M.Kumagai, T.Fushiki, T.Hiruta, T.Yokota

    13th World Congress o ITS,CD-ROM   2006.10

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  • Reduction of a Forecasting Database for nationwide Traffic Information service Reviewed

    K.Suzuki, T.Kondo, M.Kumagai, T.Yokota

    13th World Congress o ITS,CD-ROM,2006   2006.10

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  • 特徴空間射影によるプローブカーデータのリアルタイム補完 Reviewed

    熊谷正俊, 伏木匠, 横田孝義, 君田和也

    情報処理学会論文誌   47 ( 7 )   2133 - 2140   2006.7

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  • Formulation and Validation of Model for Calculating the Number of Probe Cars Considering Traffic Information Update Frequency Reviewed

    FUSHIKI Takumi, YOKOTA Takayoshi, KIMITA Kazuya, KUMAGAI Masatoshi

    IEEJ Transactions on Sensors and Micromachines   126 ( 6 )   741 - 747   2006.6

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    Language:Japanese   Publisher:The Institute of Electrical Engineers of Japan  

    Probe cars are very effective tools in traffic information gathering. Probe cars can collect the traffic condition data without using roadside sensors but with only using their own equipped sensors. By using probe cars, it is expected that the accuracy of traffic information will be improved and the area coverage of the traffic information service will be increased, and many experimental probe car data collection projects have been implemented. However, the number of probe cars required for adequate information update frequency has not been theoretically discussed. This paper formulates the probabilistic relationships among the traffic volume of probe cars, the area coverage, and the update frequency of traffic information provision. This formulation calculates the adequate number of probe cars to realize traffic information services in advance considering two major service factors: area coverage and update frequency. This paper also validates the theoretical formulation with experimental probe car data collected in a taxi monitoring system.

    DOI: 10.1541/ieejias.126.741

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    Other Link: https://jlc.jst.go.jp/DN/JALC/00279446936?from=CiNii

  • Decreasing FCD processing delay by deploying distributed processing system Reviewed

    Wei Lu, Wengjia Wang, Kazuya Kimita, Takayoshi Yokota

    2006 6TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS PROCEEDINGS   206 - +   2006

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/ITST.2006.288835

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  • Data reduction of traffic information forecast model performed by multi-link shared feature space projection Reviewed

    Masatoshi Kumagai, Takumi Fushiki, Kazuya Kimita, Takayoshi Yokota

    IEEJ Transactions on Electronics, Information and Systems   126 ( 8 )   1033 - 1039   2006

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    Language:English   Publisher:Institute of Electrical Engineers of Japan  

    DOI: 10.1541/ieejeiss.126.1033

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  • Interpolation and Forecast Application of Floating Car Data Based on Principal Component Analysis Reviewed

    M.Kumagai, T.Fushiki, T.Hiruta, T.Yokota

    12th World Congress on ITS   2005.11

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  • Method of travel time estimation for wide-area traffic information service Reviewed

    Ken'ichiro Yamane, Takayoshi Yokota, Takumi Fushiki

    Systems and Computers in Japan   36 ( 11 )   82 - 92   2005.10

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1002/scj.20242

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  • Quantitative Evaluation of Traffic Information Data Based on Floating Car Data

    KIMITA Kazuya, FUSHIKI Takumi, YOKOTA Takayoshi, KUMAGAI Masatoshi

    2005 ( 61 )   21 - 28   2005.6

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    Language:Japanese   Publisher:Information Processing Society of Japan (IPSJ)  

    Floating-car system is expected as a new traffic information system without large infrastructure. The information quality of this system, such as accuracy, area coverage and costs, is largely affected by its system environment, such as the number of floating cars and interval time of GPS data collection. With quantitative evaluation of traffic data through a demonstration experiment in Beijing (China), we showed correlation between the information quarity and the system environment for the first time.

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    Other Link: http://id.nii.ac.jp/1001/00045655/

  • プローブカーデータのリアルタイム補完技術

    熊谷 正俊, 伏木 匠, 横田 孝義, 君田 和也

    情報処理学会研究報告   2005 ( 21 )   67 - 73   2005.3

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  • 全国規模の交通情報サービスを目的とする所要時間長期予測技術の開発 Reviewed

    熊谷 正俊, 伏木 匠, 横田 孝義, 佐野 豊, 鈴木 研二

    情報処理学会論文誌   145 ( 12 )   2696 - 2705   2004.12

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  • Efficient Forecast Process for Nationwide Traffic Information Services

    KUMAGAI Masatoshi, FUSHIKI Takumi, YOKOTA Takayoshi, KIMITA Kazuya

    2004 ( 98 )   19 - 26   2004.9

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    This paper discusses about two extended methods of "Feature Space Forecast Method" for long-term traffic information forecasting. The first one is the method which decreases the size of a forecasting database one-tenth as large as that of usual regression analysis, by performing forecast process in the feature space shared by some links. The second one makes the best use of traffic information with a large number of missing data, by applying "Principal Component Analysis with Missing Data" for the process of feature space projection. It provides accurate forecast information even from probe-car data whose 80% of time series is missing.

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  • WEB-based Traffic Information Service Systems Using Extensible Markup Language

    FUSHIKI Takumi, KUMAGAI Masatoshi, YOKOTA Takayoshi, GONMORI Naohiko, SANO Yutaka

    2004 ( 19 )   1 - 5   2004.3

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  • Method of Travel Time Estimation for Wide-Area Traffic Information Service Reviewed

    YAMANE Ken'ichiro, YOKOTA Takayoshi, FUSHIKI Takumi

    The Transactions of the Institute of Electronics,Information and Communication Engineers.   87 ( 3 )   329 - 338   2004.3

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  • Study on density of probe cars sufficient for both level of area coverage and traffic information update cycle Reviewed

    T.Fushiki, T.Yokota

    11th World Congress on ITS   2004

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  • Long-range traffic condition forecast using feature space projection method Reviewed

    M. Kumagai, T. Fushiki, K. Kimita, T. Yokota

    11th World Congress on ITS   2004

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  • 特徴空間射影を用いた交通情報予測手法 Reviewed

    熊谷 正俊, 伏木 匠, 佐野 豊, 鈴木 研二, 横田 孝

    情報処理学会研究報告   2003 ( 89 )   51 - 57   2003.9

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  • トラックの運行管理のプローブカー情報を利用した所要時間予測 Reviewed

    岸野清孝, 石田康, 伏木匠, 横田孝義

    第23回交通工学研究発表会   141 - 144   2003.5

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  • Arrival Time Prediction System Based on Floating Car Data in the Fleet management ASP Reviewed

    T.Fushiki, T.Yokota

    9th World Congress on ITS   2002.10

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  • Intelligent route selection for in-vehicle navigation systems Reviewed

    GKH Pang, K Takahashi, T Yokota, H Takenaga

    TRANSPORTATION PLANNING AND TECHNOLOGY   25 ( 3 )   175 - 213   2002.9

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    DOI: 10.1080/0308106022000019639

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  • プローブカーを利用した交通情報予測方式の検討 Reviewed

    伏木 匠, 岸野 清孝, 山根 憲一郎, 横田 孝義, 権守 直彦, 石田 康, 伊藤 彰朗

    情報処理学会論文誌   143 ( 12 )   3801 - 3808   2002.3

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  • 交通流シミュレータにおけるイメージ地図利用技術の開発 Reviewed

    永井徹, 横田孝義

    第21回交通工学研究会   241 - 244   2001.5

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  • 単独交差点での信号機の影響を考慮した感知器データ特性 Reviewed

    井上健士, 高尾, 横田孝義

    交通工学   35 ( 6 )   37 - 47   2000.12

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  • オフセット追従アルゴリズムの検討

    井上健士, 横田孝義, 伏木匠

    第6回 交通流のシュミレーションシンポジウム   35 - 38   1999.11

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  • Adaptive route selection for dynamic route guidance system based on fuzzy-neural approaches Reviewed

    GKH Pang, K Takahashi, T Yokota, H Takenaga

    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY   48 ( 6 )   2028 - 2041   1999.11

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    DOI: 10.1109/25.806795

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  • Evaluation of Advanced Mobile Information System(AMIS) for the Winter Olympic Games in Nagano, JAPAN 1998 Reviewed

    Takayoshi Yokota, Ken'ichiro yamane, Takeaki Namizuka, Kouhei Takeuchi

    6th ITS World Congress   1999.10

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  • Realization of offset optimization system which takes crossroadtraffic demand into account Reviewed

    Morita, M, Yokota, T, Traffic Control Div, Aichi Prefectural, Police Headquarters, Nagoya

    Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383)   1999.10

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  • 希少アップリンク情報を利用した高度交通情報提供システム Reviewed

    伏木匠, 山根憲一郎, 横田孝義

    第19回交通工学研究会   33 - 36   1999.6

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  • Implementation and evaluation of a new traffic control center which claims to optimize traffic signal control Reviewed

    Takayoshi Yokota

    Intelligent Transportation Systems, 1999. Proceedings. 1999 IEEE/IEEJ/JSAI International Conference   404 - 409   1999

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  • 長野冬季オリンピック大会に向けた高度交通情報提供システムの開発 Reviewed

    横田孝義, 山根憲一郎, 佐野豊

    第18回交通工学研究発表会   25 - 28   1998.6

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  • Traffic Signal Offset Design Using Event Scanning Method Simulation on Traffic Congestion Reviewed

    INOUE Takeshi, FUTAMURA Mitunobu, YOKOTA Takayoshi, SANO Yutaka

    The Transactions of the Institute of Electronics,Information and Communication Engineers. A   81 ( 4 )   578 - 589   1998.4

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  • Optimal Solution Method for Offset Transition Problem of Road Traffic Signals Using U-Type Transmission Reviewed

    INOUE Takeshi, YOKOTA Takayoshi

    The Transactions of the Institute of Electronics,Information and Communication Engineers. A   81 ( 4 )   562 - 577   1998.4

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  • Introduction of an offset optimization system and its benefits Reviewed

    Takayoshi Yokota

    4th ITS World Congress Berlin   1998

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  • 信号現示方法及び車線運用計画立案システムの開発 Reviewed

    堀田都, 永井徹, 横田孝義

    第17回交通工学研究発表会   41 - 44   1997.6

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  • 対話型3次元交通流ミクロシミュレータの開発 Reviewed

    永井 徹, 横田孝義, 堀田 都, 滑川正明

    第17回交通工学研究発表会   57 - 60   1997.6

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  • Travel Time Measuring System Based on Platoon Matching: A Field Study Reviewed

    T Yokota, T Inoue, Y Kobayashi, K Takagi

    Proceedings of the 1996 Annual Meeting of ITS Americ   1996.4

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  • Traffic Signal Offset Optimization Based On Probe Car Data and Its Model Reviewed

    T.Yokota, T.Inoue, Y.Sano

    The 3rd ITS Worgd Congress, Orlando   1996

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  • Congestion Analysys and Evaluation by Traffic Simulation, Reviewed

    Hotta M., Yokota, T.Nagai T

    ITS YOKOHAMA'95   2062 - 2067   1995.11

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  • Measuring Travel Time Using Pattern Matching Technique Reviewed

    Kazuya Takahashi, T.Yokota

    ITS YOKOHAMA'95Proceedings   1995.10

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  • 車両感知器情報を用いた車群マッチングによる旅行時間推定方法 Reviewed

    井上健士, 永井徹, 横田孝義, 高木健太郎

    第15回交通工学研究会   1995.6

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  • Adaptive route selection for dynamic route guidance system based on fuzzy-neural approaches Reviewed

    G PANG, K TAKAHASHI, T YOKOTA, H TAKENAGA

    1995 VEHICLE NAVIGATION & INFORMATION SYSTEMS CONFERENCE PROCEEDINGS - 6TH INTERNATIONAL VNIS/PACIFIC RIM TRANSTECH CONFERENCE   75 - 82   1995

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  • Drivers route selection: A philosophical consideration and user-inferface Reviewed

    G PANG, K TAKAHASHI, T YOKOTA, H TAKENAGA

    1995 VEHICLE NAVIGATION & INFORMATION SYSTEMS CONFERENCE PROCEEDINGS - 6TH INTERNATIONAL VNIS/PACIFIC RIM TRANSTECH CONFERENCE   147 - 154   1995

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  • Traffic Signal Control System Based on Genetic Algorithm Reviewed

    Y.Sano, M.Shiozawa, T.Yokota

    ITS YOKOHAMA'95   1995

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  • Traffic Flow optimization Using Zone Classification Reviewed

    Takayoshi Yokota

    OECD/Road Transport Research Program Seminar on Advanced Road Transport Technologies Proceedings   1994.6

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  • 車群間パターンマッチングによる旅行時間計測の検討 Reviewed

    高橋一哉, 井上健士, 横田孝義, 小林芳樹

    第14回交通工学研究会   1994.6

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  • TRAFFIC FLOW OPTIMIZATION OVER A WIDE AREA Reviewed

    T YOKOTA, T NAGAI, K TAKAHASHI, Y KOBAYASHI, N HAMADA, M IMAIZUMI

    1994 VEHICLE NAVIGATION & INFORMATION SYSTEMS CONFERENCE PROCEEDINGS   A193 - A197   1994

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  • シミュレーションによる交通情報提供効果の評価 Reviewed

    横田孝義, 掘田都

    第13回交通工学研究会   81 ( 84 )   1993.10

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  • DYNAMIC TRAFFIC SIMULATION FOR CONTROLLING TRAFFIC FLOW Reviewed

    T YOKOTA, M HOTTA, K TAKAHASHI, T NAGAI

    PROCEEDINGS OF THE IEEE - IEE VEHICLE NAVIGATION AND INFORMATIONS SYSTEMS CONFERENCE   259 - 263   1993

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  • Reasoning for a logic circuit synthesis expert system

    Keisuke Bekki, Takayoshi Yokota, Tohru Nagal, Noriko Nakatsuka, Nobuhiro Hamada

    Journal of information processing   15 ( 1 )   41 - 49   1992

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  • Reasoning for Logic Circuit Synthesis Expert Syetem Reviewed

    BEKKI KEISUKE, YOKOTA TAKAYOSHI, NAGAI TOHRU, NAKATSUKA NORIKO, HAMADA NOBUHIRO

    IPSJ Journal   31 ( 6 )   753 - 762   1990.6

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  • VLSI Logic Design with Logic Programming and Knowledge-Base Technology Reviewed

    Nobuhiro Hamada, Keisuke Bekki, Takayoshi Yokota

    IEEE Transactions on Industrial Electronics   57 ( 1 )   1 - 5   1990.1

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  • 設計に必要な工程数を1/2に短縮した超LSI設計用エキスパ-トシステム Reviewed

    浜田 亘曼, 横田 孝義, 戸次 圭介

    エレクトロニクス   33 ( 9 )   25 - 30   1988.9

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  • マイクロプログラム方式の制御論理回路合成方式の検討 Reviewed

    戸次 圭介, 横田 孝義, 浜田 亘曼

    情報処理学会論文誌   29 ( 6 )   605 - 613   1988.6

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  • A VLSI Design Automation System Using Frames and Logic Programming Reviewed

    Takayoshi Yokota, Keisuke Bekki, Nobuhiro Hamada

    The Third Con-ference on ΑΙ Applications, February 1987, Florida, IEEE Computer Society CAIA   296 - 301   1987.2

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  • ACTIVE INCOHERENT ULTRASONIC-IMAGING THROUGH AN INHOMOGENEOUS LAYER Reviewed

    T YOKOTA, T SATO, M HIRAMA

    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA   77 ( 1 )   144 - 152   1985

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    DOI: 10.1121/1.392278

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  • SUPER-RESOLUTION ULTRASONIC-IMAGING BY USING ADAPTIVE FOCUSING Reviewed

    T YOKOTA, Y SATO

    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA   77 ( 2 )   567 - 572   1985

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    DOI: 10.1121/1.391874

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  • SUPERRESOLUTION ULTRASONIC-IMAGING USING OBJECT-DEPENDENT ADAPTIVE FOCUSING Reviewed

    Takayoshi Yokota, Takuso Sato

    ULTRASONIC IMAGING 6(2) 227-237 1984年   6 ( 2 )   227 - 237   1984.5

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  • 2-D SPECTRAL ESTIMATION COMBINING PARAMETRIC-ESTIMATION OF BACKGROUND AND MAXIMUM-ENTROPY ESTIMATION Reviewed

    T YOKOTA, T SATO

    IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING   32 ( 2 )   220 - 228   1984

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    DOI: 10.1109/TASSP.1984.1164302

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  • Nonlinear Parameter Tomography, Active Incoherent Imaging And Adaptive Imaging For Ultrasonic Tissue Characterization Reviewed

    Takuso sato, Makoto Hirama, Takayoshi Yokota, Nobuyuki Ichida

    1st International Symposium on Medical Imaging and Image Interpretation, 1982, Berlin, Germany   0375   454 - 459   1982.11

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  • An Optimum Ultrasonic Imaging System Using ARMA Processing Reviewed

    Yokota.T, Sato.T

    Acoustical Imaging (Plenum, New York)   11   289 - 308   1982

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  • Optimum ultrasonic imaging system using ARMA processing Reviewed

    Takuso Sato, Takayoshi Yokota, Osamu Ikeda

    Japanese Journal of Applied Physics   20   221 - 224   1981

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    DOI: 10.7567/JJAPS.20S3.221

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Books

  • Advances in Robotics and Automatic Control, Book Series, Vol. 3,

    ( Role: Contributor)

    2024.7 

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  • 自動運転車に向けた電子機器・部品の開発と制御技術

    横田孝義( Role: ContributorMEMSセンサによる大気圧、加速度および角速度情報を用いた走行車両位置推定)

    (株)技術情報協会  2022.6  ( ISBN:9784861048845 )

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  • 自動車オートパイロット開発最前線 : 要素技術開発から社会インフラ整備まで

    ( Role: Contributor)

    エヌ・ティー・エス  2014.5  ( ISBN:9784860434014 )

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    Total pages:viii, ii, vii, 309, ixp   Language:Japanese  

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  • Urban transportation and logistics : health, safety, and security concerns

    谷口, 栄一, Fwa, Tien Fang, Thompson, Russell G.( Role: Contributor)

    CRC Press  2013.12  ( ISBN:9781482209099 )

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    Total pages:xi, 267 p., 8 leaves of plates   Language:English  

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  • Global Positioning Systems: Signal Structure, Applications and Sources of Error and Biases

    ( Role: ContributorChapter 3. Road Network Analysis Based on GPS Data and Dynamic Programming)

    2013.10 

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    Total pages:5冊   Language:Chinese  

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  • ソフトウェアエンジニアリングの実践~先進ソフトウェア開発プロジェクトの記録

    独立行政法人, 情報処理推進機構, ソフトウェア・エンジニアリング・センタ―( Role: Contributor)

    ISBN-13 ‏ : ‎ 978-4798114088  2007.11 

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MISC

  • 速度変動を考慮したMEMSセンサ情報による車両位置の推定方法 ~ 仮想時間軸による速度変動の補償 ~

    横田孝義

    電子情報通信学会ITS研究会   2023.8

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  • 50Hzで取得したMEMSセンサデータを用いた車両位置推定方式 ~ センサデータの高分解能化の位置推定精度への影響 ~

    横田孝義, 山際大賀

    電子情報通信学会ITS研究会   2022.12

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  • Vehicle localization algorithm based on altitude and other sensor data profiles and its extension to ordinary road network.

    2022.3

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  • Development of position calculation method using elevation data by barometric pressure sensor Invited

    Impact誌, Volume 2022, Number 1, February 2022, pp. 26-27(2)   2022 ( 1 )   26 - 28   2022.2

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  • MEMSセンサによる大気圧、加速度、角速度などの情報を用いた走行車両位置推定方法の検討

    ズル フィクリ, ビン バハリン, 横田孝義

    電子通信学会技術研究報告   120 ( 291 )   115 - 120   2020.12

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  • MEMSセンサによる大気圧,加速度および角速度情報を用いた走行車両位置の推定手法の検討

    Zul Fiqri Bin Baharin, 横田孝義

    第29回計測自動制御学会中国支部学術講演会   2020.11

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  • 三角分布を用いた最尤推定による経路別旅行時間と交通量の推定

    鳥丸聖也, 横田孝義

    2020年度(第71回)電気・情報関連学会中国支部連合大会   2020.10

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  • 大気圧センサによる標高計測を用いた位置推定方法の検討

    杉浦彦音, 横田孝義

    電子通信学会技術研究報告   119 ( 472 )   53 - 56   2020.3

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  • EMアルゴリズムによる経路別旅行時間と交通量の推定 ~ 複数経路の旅行時間と交通量の同時推定 ~

    鳥丸聖也, 横田孝義

    電子情報通信学会技術研究報告   119 ( 102 )   13 - 20   2019.7

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  • Let's go to Technical Meeting!

    IEICE ESS Fundamentals Review   12 ( 3 )   214 - 214   2019.1

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    Authorship:Lead author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)   Publisher:Institute of Electronics, Information and Communications Engineers (IEICE)  

    DOI: 10.1587/essfr.12.3_214

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  • プローブカーの位置情報の高速かつ大域的評価によるマップマッチング手法 : 動的計画法とリンク接続判定の高速化を用いたマップマッチング手法

    濱岡達哉, 水将人, 横田孝義

    電子情報通信学会技術研究報告   117 ( 203 )   17 - 22   2017.9

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  • BPR関数のカスケードモデルによるOD旅行時間データからのネットワーク交通流分布の推定 : OD情報、プローブ情報からの交通流分布の推定アルゴリズム

    飛田憲佑, 廣藤諒, 横田孝義

    電子情報通信学会技術研究報告   116 ( 464 )   375 - 379   2017.2

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  • 物流倉庫のゾーンピッキングにおける待ち時間の最適化の検討

    景山 和仁, 田村 翼, 横田 孝義

    平成28年度 SICE関西支部・システム制御情報学会若手研究発表会講演論文集   2017.1

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  • 気圧センサと DRM 標高データによる気圧変動を考慮した標高推定手法の開発

    斎藤智一, 横田孝義

    第18回 IEEE 広島支部学生シンポジウム(HISS)   2016.11

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  • 倉庫内搬送作業における高速な経路生成アルゴリズムの提案 Reviewed

    田村翼, 横田孝義

    平成28年度電子情報通信学会中国支部連合大会   2016.10

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  • 気圧センサとDRM標高データの大域的マップマッチングによる標高推定手法の開発

    斎藤智一, 横田孝義

    平成28年度電子情報通信学会中国支部連合大   2016.10

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  • 割込需要による外乱を考慮した物流倉庫内の搬送経路最適化手法の研究 ~ 反復的GAによる割込需要への適用 ~

    田村翼, 横田孝義

    電子情報通信学会信学技法   2015.12

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  • 主成分分析を用いた特徴空間内での無線LAN位置推定方式の検討 特徴空間内のユークリッド距離による位置推定

    横田孝義

    電子情報通信学会ITS研究会   2015.12

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  • Study on an altitude estimation method of roads by the data fusion of an atmospheric pressure sensor and digital road map database information

    115 ( 364 )   43 - 48   2015.12

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  • 単眼カメラを用いた車両追跡と加速度制約条件を用いた車間距離推定方式の研究 Reviewed

    辻和史, 横田孝義

    第14回情報科学技術フォーラム   2015.9

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  • Wi-Fiの電界強度情報とその方向依存性を考慮した屋内位置推定手法の研究:アクセスポイント数による影響

    今宮秀晴, 横田孝義

    第14回情報科学技術フォーラム   2015.9

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  • Indoor localization method based on the directivity of wireless LAN field intensity : Scene analysis taking into account directivity

    2015 ( 1 )   33 - 38   2015.3

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  • 無線LANの電界強度の方向依存性を利用した屋内位置推定方式の研究

    角宮悠平, 今宮秀晴, 横田孝義

    電子情報通信学会信学技法   114 ( 508 )   33 - 38   2015.3

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  • 単眼カメラとパーティクルフィルタによる車両追跡と車間距離推定法式の研究

    辻 和史, 藤津聖也, 横田孝義

    電子情報通信学会、ITS研究会   2014.9

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  • Estimation of moving object's attitude using Kalman filter and smartphone sensors taking into account effects of velocity variation and centrifugal force

    MURAKAMI Tomoya, YOKOTA Takayoshi

    113 ( 337 )   55 - 60   2013.12

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    MEMS sensors embedded in smart phones together with a GPS receiver are used to estimate 3-D road geometry and the attitude of vehicle based on Kalman filter theory. The centrifugal force which arises when the vehicle turns and acceleration/deceleration cause errors in the static acceleration sensor' s output whose aim is measuring gravity vector as an attitude reference in the Kalman filter. In this paper, an algorithm to reduce the effects of centrifugal force, and acceleration/deceleration is proposed. Experimental results of actual road test show the feasibility of the algorithm.

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  • 走行実績データ(プローブデータ)を用いた経路選択要因の抽出と経路探索への応用 Reviewed

    山田康太郎, 横田孝義

    電気学会情報システム研究会   2013.11

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  • 単位セル構造と走行実績を用いた地図生成方式の提案と経路探索への適用 Reviewed

    村田大輔, 横田孝義

    第14回情報科学技術フォーラム   2013.9

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  • スマートフォンとカルマンフィルターによる3D姿勢情報のセンシングに関する研究

    村上 智哉, 横田 孝義

    情報科学技術フォーラム講演論文集   12 ( 1 )   179 - 180   2013.8

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  • プローブ情報による走行頻度と三次元情報を加味した道路ネットワーク情報生成の研究

    横田孝義

    平成24年度研究助成成果報告書(財)日本ディジタル道路地図協会   2013.6

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  • Development of the sensor fusion algorithm for measuring road geometry : Application of Kalman filter to smart phone sensors

    YOKOTA Takayoshi

    113 ( 74 )   13 - 18   2013.5

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    Language:Japanese   Publisher:The Institute of Electronics, Information and Communication Engineers  

    MEMS Sensors embedded in smart phones together with a GPS receiver are used to estimate 3-D road geometry based on Kalman filter theory. Experimental results show that even such low cost sensors can give acceptable results which is helpful to acquire 3-D probe data which represents road geometry as long as some closed loop conditions are maintained.

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  • Dynamic Prediction of Traffic Congestion by Tracing Feature Space Trajectory

    53 ( 1 )   243 - 250   2012.1

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  • Traffic Information Prediction Method Based on Feature Space Projection

    KUMAGAI Masatoshi, FUSHIKI Takumi, SANO Yutaka, SUZUKI Kenji, YOKOTA Takayoshi

    103 ( 294 )   7 - 13   2003.9

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    We propose a prediction method for traffic information with any period (e. g. , travel time of every five minutes), which reflects a combination of some day types (day, season, vacation, weather, and so on). Firstly, we project the past traffic information data to a feature space, using the principal component analysis method. Secondly, we get an estimate model which approximate feature values as a function of day types. When predicting traffic information, the estimate model gives an estimated feature value using day types in a future day, and predictive information is given by inverse projection of the feature value.We propose a prediction method for traffic information with any period (e. g. , travel time of every five minutes), which reflects a combination of some day types (day, season, vacation, weather, and so on). Firstly, we project the past traffic information data to a feature space, using the principal component analysis method. Secondly, we get an estimate model which approximate feature values as a function of day types. When predicting traffic information, the estimate model gives an estimated feature value using day types in a future day, and predictive information is given by inverse projection of the feature value.

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  • Traffic Condition Prediction by Use of Floating Cars

    FUSHIKI Takumi, YAMANE Ken'ichiro, YOKOTA Takayoshi, GONMORI Naohiko, KISHINO Kiyotaka, ISHIDA Yasushi, ITO Akio

    2002 ( 21 )   9 - 14   2002.3

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    Language:Japanese   Publisher:Information Processing Society of Japan (IPSJ)  

    Floating cars are very effective in traffic information gathering. In the situation of low existence probability of floating cars, however, road sections without floating cars may occur and may prevent sufficient real-time traffic information gathering. In this paper, we proved the relation between the existence probability and area coverage of floating cars for real-time traffic information gathering, and examined a method of traffic condition prediction in a section without floating cars while traffic information gathering. Moreover, we made a field experiment and evaluated the accuracy of the method of traffic condition prediction.

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    Other Link: http://id.nii.ac.jp/1001/00045849/

  • Traffic Condition Prediction by Use of Floating Cars

    FUSHIKI Takumi, YAMANE Ken'ichiro, YOKOTA Takayoshi, GONMORI Naohiko, KISHINO Kiyotaka, ISHIDA Yasushi, ITO Akio

    101 ( 675 )   9 - 14   2002.2

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    Language:Japanese   Publisher:The Institute of Electronics, Information and Communication Engineers  

    Floating cars are very effective in traffic information gathering. In the situation of low existence probability of floating cars, however, road sections without floating cars may occur and may prevent sufficient real-time traffic information gathering. In this paper, we proved the relation between the existence probability and area coverage of floating cars for real-time traffic information gathering, and examined a method of traffic condition prediction in a section without floating cars while traffic information gathering. Moreover, we made a field experiment and evaluated the accuracy of the method of traffic condition prediction.

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  • Improvement of traffic flow measuring accuracy using moving vectors

    HOTTA Miyako, KITAMURA Tadaaki, YOKOTA Takayoshi

    2000 ( 11 )   53 - 58   2000.6

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  • 信号制御の最適化を目指した交通管制システム (特集 激変する社会に備える公共情報システム)

    佐野 豊, 横田 孝義, 井上 健士

    日立評論   80 ( 3 )   297 - 300   1998.3

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  • 信号制御の現状と高度化の展望-オフセット制御

    横田孝義

    交通流数理研究会 第5回交通流のシミュレーションシンポジウム   5 - 8   1996.12

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  • Vehicle Travel Time Estimation Using Dynamic Programming Pattern Matchinng of Vehicle Platoons

    INOUE Takeshi, YOKOTA Takayoshi, TAKAHASHI Kazuya, KOBAYASHI Yoshiki

    IPSJ SIG Notes   1996 ( 10 )   7 - 12   1996.1

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    Language:Japanese   Publisher:Information Processing Society of Japan (IPSJ)  

    As a new approach to grasping road traffic situation, a mesurement method has been developped which measures travel time using information obtained by vehicle detectors. The travel time is determined by performing matching of vehicle platoons, which are based on the data of vehicle that pass the corresponding vehicle detector, at the upper point and the lower point of the road where the vehicle detectors are placed. In addition, to cope with flow-in and flow-out,DP-matching is applied. Experimental results show that the proposed method gives the travel time with the promising accuracy both for the traffic jum situation and smooth traffic situation.

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  • シミュレーションデータの自動生成を伴うGUI機能

    永井徹, 横田孝義, 長田千央

    第49回情処全大   1   403 - 404   1994

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  • 広域円滑性を考慮した信号制御最適化手法の検討

    横田孝義, 永井徹, 高橋和範

    電気学会道路交通研究会   RTA-93 ( 12 )   1993.12

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    Language:Japanese  

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  • Reasoning for a Logic Circuit Synthesis Expert System

    BEKKI Keisuke, YOKOTA Takayoshi, NAGAI Tohru, NAKATSUKA Noriko, HAMADA Nobuhiro

    33 ( 6 )   867 - 868   1992.6

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    Language:Japanese  

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  • A METHOD FOR CONTROL LOGIC SYNTHESIS (in Japnese)

    1986 ( 85 )   1 - 8   1986.12

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    Language:Japanese  

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  • 演算回路自動生成方式の検討

    横田孝義, 戸次圭介, 浜田亘曼

    情報処理学会 設計自動化研究会   1986.12

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper, summary (national, other academic conference)  

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  • 制御論理回路自動生成方式の検討

    戸次圭介, 横田孝義, 浜田亘曼

    情報処理学会 設計自動化研究会   1986.12

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  • 適応的フォーカシング処理による超解像音波映像形成法

    横田孝義, 佐藤拓宋

    電子通信学会技術研究報告   83 ( 302 )   25 - 32   1984.3

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  • 不均一中間層を通しての能動的インコヒーレント映像形成法

    横田孝義, 佐藤拓宋

    電子通信学会研究報告   US-83 ( 33 )   1983.10

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper, summary (national, other academic conference)  

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  • 超音波Tissue Characterizationの現状と将来像

    佐藤拓宋, 横田孝義, 市田信行

    日本超音波医学会,組織の音響特性と定量検査に関する研究部会   1983.4

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  • 能動的三次元インコイーレント超音波映像形成系

    横田孝義, 佐藤拓宋

    電子通信学会技術研究報告   US82 ( 16 )   1982.10

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  • 空間依存マイグレーション映像形成系

    横田孝義, 佐藤拓宋

    応用物理学会連合講演会   1982.4

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  • FIRディジタルフィルタの最適設計法に関する研究

    横田孝義, 三谷政昭, 辻井重男

    電子通信学会全国大会   1979.4

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Presentations

  • 数理・データサイエンス・AI教育強化拠点コンソーシアム 産学連携分科会「リスキリングプログラム勉強会」

    横田孝義

    「リスキリングプログラム勉強会」  2026.9 

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  • MEMS sensor-based vehicle localization Invited

    MEMS sensor-based vehicle localization

    Global Meet on Sensors and Sensing Techchnology(GMSST2024)  2024.7 

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    Presentation type:Oral presentation (keynote)  

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  • コンピュータとセンサの融合:ITS(高度交通システム)

    横田孝義

    第431回 鳥取大学サイエンス・アカデミー「コンピュータの可能性」  2017.6 

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  • An Approach to Vehicle Tracking Based on Particle Filter and Height Estimation Using Smart Phone Sensors Invited

    Takayoshi Yokota

    2016.1 

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    Presentation type:Public lecture, seminar, tutorial, course, or other speech  

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  • The Traffic Network Analysis Based on GPS Probe Data by a New Map Matching Algorithm and a Sensor Fusion Algorithm for Road Network Data Acquisition Invited

    Takayoshi Yokota

    IEEE Canada, Center for Pattern Analysis and Machine Intelligence(CPAMI) Seminar, Waterloo University, Waterloo, Canada  2014.9 

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  • 京阪神貨物車交通の実態調査から得たより良い道路利用の提言 Invited

    横田孝義

    京都大学先進交通ロジスティクス工学講座 第3回シンポジウム  2012.2 

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  • 京阪神貨物車交通の実態調査と課題について

    横田孝義

    京都大学先進交通ロジスティクス工学講座第2回シンポジウム  2011.3 

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    Language:Japanese   Presentation type:Oral presentation (keynote)  

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  • プローブデータによるトラックの行動特性と交通安全

    土木学会 ワンデーセミナー:安心安全かつ健康快適な社会を創造するロジスティクスシステム  2010.6 

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    Presentation type:Oral presentation (invited, special)  

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  • 京都大学第1回先進交通ロジスティクス工学講座基調講演

    横田孝義

    京都大学 先進交通ロジスティクス工学講座第1回シンポジウム  2009.5 

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Awards

  • Paper award

    2023.8   The society of instrument and control engineers   Vehicle localization by dynamic programming from altitude and yaw rate time series acquire by MEMS Sensor

    Takayoshi Yokota

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  • Best Paper

    2019.7   ITSWC 2019 Technical Programme Subcommittee   A Fast Map-Matching Algorithm based on a Global Measure and Dynamic Programming for Sparse Probe Data

    Takayoshi Yokota

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  • IEEJ Excellent Presentation Award

    2017.3  

    Takayoshi Yokota

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  • 連合大会奨励賞

    2016.12   電子情報通信学会中国支部   気圧センサとDRM標高データの大域的マップマッチングによる標高推定手法の開発

    斎藤智一, 横田孝義

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  • DICOMO2005優秀論文賞

    2005.7   情報処理学会   プローブカーの空間的欠損を補うリアルタイムデータ補完手法

    熊谷 正俊, 伏木 匠, 横田 孝義, 君田 和也

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  • ITS研究会優秀論文

    2004.12   情報処理学会   全国域交通情報予測サービスにおける予測プロセスの効率化

    熊谷 正俊, 伏木 匠, 横田 孝義, 君田和也

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  • ITS研究会優秀論文

    2002.9   情報処理学会   プローブカーを利用した交通情報予測方式の検討

    伏木 匠, 山根憲一郎, 横田孝義, 権守直彦, 岸野清孝, 石田康

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  • 徳岡賞

    1993.10   交通工学研究会   シミュレーションによる交通情報提供効果の評価

    交通情報提供効果のシミュレーション評価

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Research Projects

  • 画像情報を中心としたGNSSに頼らない都市空間内の位置情報提供アルリズムの開発と評価

    2025.4 - 2027.3

    日本学術振興会 科学研究費助成事業 基盤研究(C)(一般) 

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  • DRM-PFとMEMSセンサデータによるGNSS依存を回避できる 走行車両位置の推定方法の適用と評価

    2024.6 - 2025.3

    一般社団法人 日本デジタル道路地図協会  研究助成

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  • GNSSへの依存度を減らしたMEMSセンサ データによる走行車両位置の推定方法の 一 般道路網への適用と評価

    2023.8 - 2024.3

    一般財団法人 日本デジタル道路地図協会  研究助成 

    横田孝義

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  • 気圧センサによる標高データを用いた位置算出方法の開発

    Grant number:20K04723  2020.4 - 2023.3

    日本学術振興会  科学研究費助成事業  基盤研究(C)

    横田 孝義

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    Grant amount:\4290000 ( Direct Cost: \3300000 、 Indirect Cost:\990000 )

    自動車の走行位置を正確に求める手法としてGlobal Navigation Satellite System(GNSS)が普及しているが,現状では衛星からの電波の受信状況によっては精度低下が生じる.そこで,本研究ではGNSSに依存せず道路の標高変化や凹凸状況さらに右左折など運転挙動を基に走行車両の位置を推定する方法を提案している.近年,このような観点から道路の路面性状などをよりどころにして走行車両の位置推定を行う研究事例が報告されている令和2年度の本研究では大気圧情報を用いて走行車両位置の推定を行ったが標高変化が少ない道路区間では位置推定精度が低下するという問題があった.
    令和3年度は大気圧だけではなく,加速度と角速度の情報を道路の特徴としてさらに加えることで車両走行位置の推定精度の向上を図ることを検討し,その効果を確認した.また,参照用のセンサデータと評価用のセンサデータの照合処理の時間分解能の向上を検討し,従来500ms周期で実施していた照合処理を20msまで高分解能化出来る見通しを得た.
    また,固定的な評価路線でのアルゴリズムをより一般的な道路ネットワークに拡張するためにセンサ情報として大気圧,加速度,角速度に加えて地磁気を加え,緯度,経度のRTK-GNSSで取得した時系列情報とともに参照用情報として適切に分割した地域メッシュ枚に格納することによってセンサ情報の照合処理の高速化を実現するデータ格納方式を検討した.実際には約1㎞四方の3次地域メッシュを分割単位として用いた.さらに,センサデータ収集を行う装置を開発し,鳥取県の県道21号鳥取鹿野倉吉線を中心とした上記の3次メッシュ12枚分相当(南北約4㎞x東西約3㎞)評価エリアを設定しデータ収集を行って評価を開始した.

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  • 画像情報と位置情報系センサ情報を融合した道路ネットワーク情報生成の研究

    2013.8 - 2014.3

    一般社団法人 日本デジタル道路地図協会  研究助成 

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  • プローブ情報による走行頻度と三次元情報を加味した道路ネットワーク情報生成の研究

    2012.8 - 2013.3

    一般社団法人 日本デジタル道路地図協会  研究助成

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Teaching Experience

  • Fundamentals of Progressive Artificial Intelligence

    2025.11 Institution:Institute of Science Tokyo

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  • 技術英語

    2024.4 - 2024.9 Institution:東京情報デザイン専門職大学

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  • 数学(線形代数)

    2023.4 - 2023.9 Institution:東京情報デザイン専門職大学

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  • mathematics③

    2022.10 - 2023.2 Institution:Tsukuba Gakuin University

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  • 情報デザイン演習B2

    2022.10 - 2023.2 Institution:筑波学院大学

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  • 情報デザイン特論Ⅲ

    2022.10 - 2023.2 Institution:筑波学院大学

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  • アルゴリズム

    2022.10 - 2023.2 Institution:筑波学院大学

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  • 人間とロボット

    2022.4 - 2022.9 Institution:筑波学院大学

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  • 情報デザイン演習B1

    2022.4 - 2022.9 Institution:筑波学院大学

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  • Introduction to computer language (PHP)

    2022.4 - 2022.9 Institution:Tsukuba Gakuin University

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  • mathematics②

    2022.4 - 2022.9 Institution:Tsukuba Gakuin University

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  • 応用物理学

    2012.4 - 2015.4 Institution:鳥取大学

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  • Measuring engineering

    2012.4 - 2015.3 Institution:Tottori University

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  • ロボット制御工学

    Institution:鳥取大学

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  • センサ工学

    Institution:鳥取大学

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  • English for informatics

    Institution:Tottori University

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  • 微分方程式

    Institution:鳥取大学

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  • 線形代数学Ⅰ

    Institution:鳥取大学

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  • 線形代数学Ⅱ

    Institution:鳥取大学

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  • 線形代数学

    Institution:鳥取大学

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  • データ解析特論

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  • 地図情報処理特論

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  • 空間情報制御特論

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  • シティーロジスティクス

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  • 計算機構成論II

    Institution:鳥取大学

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  • 技術英語

    Institution:鳥取大学

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  • 数学演習

    Institution:鳥取大学

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