東京科学大学環境・社会理工学院土木・環境工学系准教授．2011年東京工業大学土木・環境工学科卒業，2013年同大学院土木工学専攻博士前期課程修了，2015年同後期課程修了，博士（工学）．ミシガン大学研究員，東京大学助教などを経て，2021年4月より現職（2024年10月の組織統合までは東京工業大学所属）．専門は交通工学，交通流理論，交通モデリングおよびデータ分析．著書『マクロ交通流シミュレーション：数学的基礎理論とPythonによる実装』．交通工学研究会論文賞，IEEE ITS Conference最優秀論文賞，米谷・佐佐木賞学位論文部門，Transportation Research Part C最優秀論文賞，土木計画学研究委員会優秀論文賞など受賞．
土木学会論文集D3（土木計画学）; 交通工学論文集; 運輸政策研究; Transportation Research Part A: Policy and Practice; Transportation Research Part B: Methodological; Transportation Research Part C: Emerging Technologies; Transportation Research Part E: Logistics and Transportation Review; Transportation; Transportation Research Record; Transportmetrica A; Transportmetrica B; IEEE Transactions on Intelligent Transportation Systems; IEEE Intelligent Transportation Systems Magazine; IEEE Transactions on Vehicular Technology; IEEE Transactions on Systems, Man, and Cybernetics; IET Intelligent Transportation System; Travel Behaviour and Society; Transportation Letters; Transportation Planning and Technology; International Journal of Sustainable Transportation; Physica A: Statistical Mechanics and its Applications; International Journal of Intelligent Transportation Systems Research; Asian Transportation Studies; IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences; Engineering Applications of Artificial Intelligence; Artificial Life and Robotics; Hydrological Research Letters; Sensors; PLOS ONE; Entropy; Energies; MethodsX
研究発表会座長
土木計画学研究発表会; 交通工学研究発表会; ITSシンポジウム; EURO Working Group on Transportation Meeting; IEEE International Conference on Intelligent Transportation System
委員会等
[2024-04-01/] （一社）交通工学研究会 第2学術小委員会 委員
[2024-03-05/] The 12th Triennial Symposium on Transportation Analysis conference (TRISTAN XII), Scientific Committee, Member
Wada, K., Seo, T., and Shiomi, Y. Flow breakdown. In Vickerman, R. (Ed.), International Encyclopedia of Transportation, Vol. 4, pp. 143–153. Elsevier, 2021. [PDF]
1
Wada, K., Seo, T., and Shiomi, Y. Bottleneck. In Vickerman, R. (Ed.), International Encyclopedia of Transportation, Vol. 4, pp. 134–142. Elsevier, 2021. [PDF]
査読付き学術論文
28
林和磨, 瀬尾亨. 速度車頭距離関係の階層ベイズを用いた区間別車両別推定. 土木学会論文集, in press.
Hayashi, K. and Seo, T. Estimating source of traffic congestion from vehicle trajectory data using hierarchical Bayesian model. In Proceedings of the 28th International Conference of Hong Kong Society for Transportation Studies, Hong Kong, 2024, forthcoming.
46
Ma, Y. and Seo, T. Incorporating graph neural network into route choice model in road network. In IEEE 27th International Conference on Intelligent Transportation Systems, Edmonton, Canada, 2024.
45
Seo, T., Maruyama, R., Wada, K., and Zhou, Y. Dynamic system optimal pricing for shared autonomous vehicles in congestible networks: Theoretical properties. In Conference in Emerging Technologies in Transportation Systems (TRC-30), Crete, Greece, 2024. [PDF]
44
Fujiya, K., Nagasaki, K., and Seo, T. Modeling pedestrian fundamental diagram based on directional statistics. In Proceedings of the 27th International Conference of Hong Kong Society for Transportation Studies, Hong Kong, 2023. [PDF]
43
Nagasaki, K. and Seo, T.Route choice model using angular indicators. In Transportation Research Procedia, Vol. 78, pp. 238–245, 2024. (The 25th EURO Working Group on Transportation Meeting, 6–8 September 2023, Santander, Spain).
42
Zhong, H., Seo, T., Nakanishi, W., Yasuda, S., Asakura, Y., and Iryo, T. Generation of aggregated road network by vehicle trajectory data. In International Symposium on Transportation Data and Modelling 2023, Ispra, Italy, 2023. [PDF]
41
Seo, T. Understanding large-scale traffic flow using model-based and data-driven dimension reduction: with COVID-19 and Olympic-Paralympic case study. In International Symposium on Transportation Data and Modelling 2023, Ispra, Italy, 2023. [PDF]
Seo, T. and Asakura, Y. Multi-objective linear optimization for strategic planning of shared autonomous vehicle operation and infrastructure design. In The 8th International Symposium on Dynamic Traffic Assignment, Web conference (Postponed from 2020), 2021. [slides][updated PDF][PDF]
38
Seo, T., Tago, Y., Shinkai, N., Nakanishi, M., Tanabe, J., Ushirogochi, D., Kanamori, S., Abe, A., Kodama, T., Yoshimura, S., Ishihara, M., and Nakanishi, W. Evaluation of large-scale complete vehicle trajectories dataset on two kilometers highway segment for one hour duration: Zen Traffic Data. In 2021 International Symposium on Transportation Data and Modelling, Web conference (Postponed from 2020), 2021. [PDF]
Fukuda, D., Imaoka, M., and Seo, T. Empirical investigation of fundamental diagram for urban rail transit using Tokyo's commuter rail data. In TRANSITDATA2019: 5th International Workshop and Symposium, Paris, France, 2019.
32
Seo, T. and Yin, Y. Optimal pricing for departure time choice problems with unknown preference and demand: Trial-and-error approach. In Transportation Research Board 98th Annual Meeting, 2019. [PDF]
Thaithatkul, P., Seo, T., Kusakabe, T., and Asakura, Y. User equilibrium model of ridesharing transport with high-occupancy vehicles lane. In Proceedings of the 14th International Conference on Advanced Systems in Public Transport, Brisbane, Australia, 2018.
27
Kusakabe, T., Seo, T., Nakanishi, W., and Asakura, Y. Implementation of interactive online machine learning approach for smart phone based activity-travel survey. In The 15th International Conference on Travel Behaviour Research, Santa Barbara, The United States, 2018.
26
Seo, T. and Yin, Y. Estimating individual congestion externality using connected vehicle data. In 2018 Global Symposium for Connected and Automated Vehicles and Infrastructure, Ann Arbor, The United States, 2018.
Lykov, S., Seo, T., and Asakura, Y. Analysis of spatiotemporal dependencies in two-dimensional traffic flow in large-scale urban area with probe vehicle data. In The 12th International Conference of Eastern Asia Society for Transportation Studies, Ho Chi Minh City, Vietnam, 2017.
Seo, T., Wada, K., and Fukuda, D. A macroscopic and dynamic model of urban rail transit with delay and congestion. In Transportation Research Board 96th Annual Meeting, Washington DC, The United States, 2017.
Thaithatkul, P., Seo, T., Kusakabe, T., and Asakura, Y. Field experiment on traveler's behavior in smart ridesharing system. In The 21st International Conference of Hong Kong Society for Transportation Studies, Hong Kong, 2016.
17
Seo, T., Wada, K., and Fukuda, D. A simplified model of urban railway system for dynamic traffic assignment. In Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, pp. 357–364, Hong Kong, 2016.
16
Thaithatkul, P., Seo, T., Kusakabe, T., and Asakura, Y. User equilibria for ridesharing transportation. In The 5th symposium arranged by European Association for Research in Transportation, Delft, The Netherlands, 2016.
Thaithatkul, P., Seo, T., Kusakabe, T., and Asakura, Y. Day-to-day dynamics of passenger matching problem in smart ridesharing systems. In Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, pp. 449–456, Hong Kong, 2015.
12
Thaithatkul, P., Seo, T., Kusakabe, T., and Asakura, Y. A numerical study on the effect of variety of user preference to ridesharing system's performance. In The 7th Regional Symposium on Infrastructure Development, Bangkok, Thailand, 2015. [Best Presentation Award]
11
Ozaki, N., Ueno, H., Sato, T., Wada, S., Ooba, Y., Suzuki, Y., Takahashi, Y., Sakai, H., Warita, H., Matsushita, M., Seo, T., Kusakabe, T., and Asakura, Y. Image recognition based OBU probe system for traffic monitoring. In Proceedings of the 22nd ITS World Congress, Bordeaux, France, 2015.
Thaithatkul, P., Seo, T., Kusakabe, T., and Asakura, Y. A passengers matching problem in ridesharing systems by considering user preference. In Proceedings of the 11th International Conference of Eastern Asia Society for Transportation Studies, Cebu, Philippines, 2015. [Outstanding Poster Presentation Award]
Kusakabe, T., Seo, T., Goto, H., and Asakura, Y. Interactive online machine learning approach for activity-travel survey. In Proceedings of the 14th International Conference on Travel Behaviour Research, Windsor, The United Kingdom, 2015.
6
Kusakabe, T., Seo, T., Goto, H., and Asakura, Y. Improving activity-travel survey using on-line machine learning and smartphone-based interactive system. In International Workshop on Activity-Travel Behavior Analysis and Multi-State Supernetwork Modeling, Hong Kong, 2014.
5
Nguyen, L. X., Seo, T., Van, H. T., Kusakabe, T., and Asakura, Y. Mixed flow observation using video cameras on probe vehicles: A case study in Ho Chi Minh City. In Proceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, pp. 374–381, Hong Kong, 2014.
4
Narioka, N., Seo, T., Kusakabe, T., and Asakura, Y. Incident detection method using longitudinal occupancy time-series data. In Proceedings of the 10th International Conference of Eastern Asia Society for Transportation Studies, Taipei, Taiwan, 2013.
3
Seo, T., Kusakabe, T., and Asakura, Y. Traffic flow monitoring utilizing on-vehicle devices of spacing measurement. In The 2nd Symposium of the European Association for Research in Transportation, Stockholm, Sweden, 2013.
2
Seo, T., Kusakabe, T., and Asakura, Y. Traffic state estimation method using probe vehicles equipped with spacing measurement system. In Proceedings of International Symposium on Recent Advances in Transport Modelling, Kings Cliff, Australia, 2013.
1
Fukuda, D., Seo, T., Yamada, K., Yaginuma, H., and Matsuyama, N. An econometric based pedestrian walking behaviour model implicitly considering strategic or tactical decisions. In Proceedings of the 6th International Conference on Pedestrian and Evacuation Dynamics, Zürich, Switzerland, 2012.
Seo, T. and Yin, Y. Trial-and-error pricing for departure time choice problems. \hspace-0.2em土木計画学研究・講演集, Vol. 58, 大分県大分市, 2018. [PDF]
22
Thaithatkul, P., Kusakabe, T., Seo, T., and Asakura, Y. Long-term effects of information sharing on the usage of dynamic ridesharing system. 土木計画学研究・講演集, Vol. 57, 東京都目黒区, 2018.
Seo, T. Traffic flow monitoring by probe vehicles equipped with spacing measurement devices. In The 1st Summer School Autonomic Road Transport Support Systems: foundations & techniques (Poster session), Paris, France, 2013.
4
瀬尾亨, 日下部貴彦, 朝倉康夫. 次世代プローブカーを想定した交通状態推定に向けた基礎分析. 第11回ITSシンポジウム2012, pp. 79–84, 愛知県長久手市, 2012.
Seo, T. Zen Traffic Data: Comprehensive vehicle trajectory data from multiple locations. In Vehicle Trajectory Data Camp, Workshop at IEEE 27th International Conference on Intelligent Transportation Systems, Edmonton, Canada, 2024.
Seo, T. Joint optimization of SAV operation and infrastructure design. In Emerging Mobility Systems: Theory and Data, Center for Spatial Information Science, The University of Tokyo, Japan, 2020.
Seo, T. Traffic flow monitoring with cutting-edge technology. In International Workshop on Quality Transport in the Age of Cutting-edge Technology, Hiroshima University, Japan, 2019.
15
Seo, T. Bottleneck congestion pricing under information asymmetry: Trial-and-error approach. In International Mini-Workshop on Transport and Traffic Big-Data, The University of Tokyo, Japan, 2019.
14
Seo, T. Endogenous market penetration dynamics of connected and automated vehicles: Transport-oriented model and its paradox. In New Mobility and Society Combining Autonomous Driving Technology and Sharing Service, Kumamoto University, Japan, 2018.
Seo, T. Congestion paradox in endogenous market penetration dynamics of connected and automated vehicles. In Next Generation Transportation Systems Seminar, September 28th, 2017, University of Michigan, The United States, 2017.
8
Seo, T. Fundamental diagram calibration using trajectories of probe vehicles. In ITS Seminar Series, University of California, Irvine, The United States, 2017.
7
Seo, T. Endogenous market penetration dynamics of automated and connected vehicles: Basic model and paradox. In International Workshop on Dynamic Risk Management of Transport Network—Social Interaction, Monitoring and Simulation (The 144th International Seminar of Committee of IP, JSCE), Tokyo Institute of Technology, Japan, 2017.
6
Seo, T. Traffic flow theoretical approach for urban transit modeling. In The 18th TSU Seminar (The 134th International Seminar of Committee of IP, JSCE), Tokyo Institute of Technology, Japan, 2016.
5
Seo, T. Automated and adaptive activity-travel survey using online interaction with travelers. In The 7th International BinN Research Seminar (The 137th International Seminar of Committee of IP, JSCE), The University of Tokyo, Japan, 2016.
4
Seo, T. Transportation system monitoring method using probe vehicles that observe other vehicles. In The 2nd International BinN Research Seminar (The 98th International Seminar of Committee of IP, JSCE), The University of Tokyo, Japan, 2014.
3
瀬尾亨. 動画像処理とGPSの融合による移動体観測の研究構想. In Transport Studies Unit Workshop, 東京工業大学, 2012.
2
Asakura, Y. and Seo, T. Research program for traffic incident management in urban expressway network. In One Day Workshop on Traffic Incident Management and Freeway Operation, Delft University of Technology, The Netherlands, 2011.
1
Seo, T. Pedestrian behavior modeling and simulating based on "Plan-Action model". In Workshop on "Traffic Incident Management, Traffic Simulation and Journey Planning", Imperial College London, The United Kingdom, 2011.