Publications
Selected publications
2026
Seo, T. End-to-end differentiable network traffic simulation with dynamic route choice. arXiv preprint arXiv:2604.11380, 2026. [Simulator repo] [PDF]
2025
Ishii, Y., Kawase, R., and Seo, T. Multi-objective optimization of integrated freight and passenger transportation in shared autonomous vehicle systems. International Journal of Intelligent Transportation Systems Research, 2025. [PDF]
2025
Seo, T. UXsim: lightweight mesoscopic traffic flow simulator in pure Python. Journal of Open Source Software, Vol. 10, No. 106, p. 7617, 2025. [PDF]
2024
Iizuka, K. and Seo, T. Passenger-oriented distributed traffic signal control using dynamic programming with vehicle queue spillback and waiting time constraints. International Journal of Intelligent Transportation Systems Research, 2024.
2024
Chen, X., Qin, G., Seo, T., Yin, J., Tian, Y., and Sun, J. A macro-micro approach to reconstructing vehicle trajectories on multi-lane freeways with lane changing. Transportation Research Part C: Emerging Technologies, Vol. 160, p. 104534, 2024.
2023
Kawase, R. and Iryo, T. Optimal stochastic inventory-distribution strategy for damaged multi-echelon humanitarian logistics network. European Journal of Operational Research, 2023.
2023
Maruyama, R. and Seo, T. Integrated public transportation system with shared autonomous vehicles and fixed-route transits: Dynamic traffic assignment-based model with multi-objective optimization. International Journal of Intelligent Transportation Systems Research, Vol. 21, pp. 99–114, 2023. [PDF]
2022
Seo, T., Wada, K., and Fukuda, D. Fundamental diagram of urban rail transit considering train–passenger interaction. Transportation, 2022. [PDF]
2022
Seo, T. and Asakura, Y. Multi-objective linear optimization problem for strategic planning of shared autonomous vehicle operation and infrastructure design. IEEE Transactions on Intelligent Transportation Systems, Vol. 23, pp. 3816–3828, 2022. [PDF]
2019
Seo, T., Kawasaki, Y., Kusakabe, T., and Asakura, Y. Fundamental diagram estimation by using trajectories of probe vehicles. Transportation Research Part B: Methodological, Vol. 122, pp. 40–56, 2019. [PDF]
2019
Seo, T., Kusakabe, T., Gotoh, H., and Asakura, Y. Interactive online machine learning approach for activity-travel survey. Transportation Research Part B: Methodological, Vol. 123, pp. 362–373, 2019. [PDF]
2017
Seo, T., Bayen, A. M., Kusakabe, T., and Asakura, Y. Traffic state estimation on highway: A comprehensive survey. Annual Reviews in Control, Vol. 43, pp. 128–151, 2017. [PDF]
2015
Seo, T., Kusakabe, T., and Asakura, Y. Estimation of flow and density using probe vehicles with spacing measurement equipment. Transportation Research Part C: Emerging Technologies, Vol. 53, pp. 134–150, 2015. [PDF]
*The underlined authors represent the (ex-)members of our lab.
Comprehensive lists of our publications
Doctor's theses
2023
Nagasaki, Kota: Transportation systems analysis with angle: Modeling and empirical studies, AY2023
2022
Dahiya, Garima: Fundamental diagrams and traffic state estimation methods: analysis and modeling using Zen Traffic Data, AY2022
Master's theses
2025
Ishii, Yuki: Mathematical analysis of planned suspension of railway operation during typhoon approach considering user travel behavior, AY2025
2025
Koseki, Shunnosuke: Wasserstein distance-based rolling horizon control for demand responsive transport under uncertainty, AY2025
2025
Hayashi, Kazuma: Analytical approximation of stochastic macroscopic traffic flow models under heterogeneity and uncertainty, AY2025
2025
Fuad, Muhammad Riza Tanwirul: System optimal traffic management: Integrating dynamic vehicle routing and signal control with mean field Q-learning, AY2025
2024
Oda, Koki: Development of passenger flow estimation method in ride-sharing systems using inverse problem, AY2024
2024
Kanamori, Yuki: Day-to-day traffic simulation after disasters under information constraints, AY2024
2024
Fujikawa, Yoshiki: Experimental analysis of the scaling law for traffic jam size in mesoscopic traffic flow model, AY2024
2024
Ma, Yuxun: Hybrid travel behavior models with utility-maximization theory and graph neural network, AY2024
2023
Iizuka, Kanae: Passenger-oriented distributed traffic signal control in the era of ridesharing, AY2023
2023
Fujiya, Keiichiro: Modeling pedestrian fundamental diagram based on directional statistics, AY2023
2023
Maruyama, Ryota: Theoretical analysis of dynamic optimal pricing for shared autonomous vehicle system, AY2023
2023
Mizuno, Kenya: Analysis of social optimal state of general piggyback transportation, AY2023
2022
Yamashita, Naoya: Mathematical analysis of modal choice between ridesharing and conventional public transportation considering round-trip, AY2022
2022
Lee, Inho: MFD-based traffic simulation under large-scale construction, AY2022
2022
Zhong, Hengyi: Generation of aggregated road network by only vehicle trajectory data, AY2022
2021
Sato, Kimihiro*: Dynamic network congestion pricing based on deep reinforcement learning, AY2021
2020
Sakai, Kengo*: Traffic state estimation method per lane using surrounding environment observation probe vehicle, AY2020
Bachelor's theses
2025
Ohkawa, Yoshino: Wide-area traffic estimation and signal control for arterial road networks based on mobile data, AY2025
2024
Eguma, Hiromichi: Optimal design for urban structure under the presence of shared autonomous vehicle system, AY2024
2024
Kojima, Yukihiro: Continuous data-driven traffic state estimation on highway, AY2024
2023
Ishii, Yuki: Multi-objective optimization of freight and passenger joint transportation in shared autonomous vehicle systems, AY2023
2023
Hayashi, Kazuma: Vehicle and section-dependent speed-spacing relation estimation using hierarchical Bayesian model, AY2023
2022
Oda, Koki: Estimation of location-dependent fundamental diagram based on probe vehicle data and sparse modeling, AY2022
2022
Fujikawa, Yoshiki: Optimization method for dynamic congestion pricing with deep reinforcement learning, AY2022
2022
Komatsu, Yuta: Equilibrium analysis of rural transportation system with ride sourcing services, AY2022
2021
Kanamori, Yuki: Short-term future prediction of diverging ratio on road network without OD information by machine learning, AY2021
2021
Maruyama, Ryota: Multi-objective optimization of shared autonomous vehicle system: Integration with BRT and user optimal assignment, AY2021
2020
Fumiyama, So*: Traffic state estimation method using Link Transmission Model and mobile sensing, AY2020
2019
Sato, Kimihiro*: Data-driven congestion toll optimization method using reinforcement learning, AY2019
2018
Sakai, Kengo*: Traffic density estimation method using small satellite imagery, AY2018
*: those who have not been in this Lab but supervised by Toru Seo.