Traffic state estimation on highway: A comprehensive survey T Seo, AM Bayen, T Kusakabe, Y Asakura Annual reviews in control 43, 128-151, 2017 | 404 | 2017 |
Estimation of flow and density using probe vehicles with spacing measurement equipment T Seo, T Kusakabe, Y Asakura Transportation Research Part C: Emerging Technologies 53, 134-150, 2015 | 169 | 2015 |
Probe vehicle-based traffic state estimation method with spacing information and conservation law T Seo, T Kusakabe Transportation Research Part C: Emerging Technologies 59, 391-403, 2015 | 129* | 2015 |
Traffic state estimation with the advanced probe vehicles using data assimilation T Seo, T Kusakabe, Y Asakura IEEE 18th International Conference on Intelligent Transportation Systems …, 2015 | 72 | 2015 |
Fundamental diagram estimation by using trajectories of probe vehicles T Seo, Y Kawasaki, T Kusakabe, Y Asakura Transportation Research Part B: Methodological 122, 40-56, 2019 | 70 | 2019 |
Multi-objective linear optimization problem for strategic planning of shared autonomous vehicle operation and infrastructure design T Seo, Y Asakura IEEE Transactions on Intelligent Transportation Systems 23 (4), 3816-3828, 2021 | 36 | 2021 |
A Passengers Matching Problem in Ridesharing Systems by Considering User Preference P Thaithatkul, T Seo, T Kusakabe, Y Asakura Journal of the Eastern Asia Society for Transportation Studies 11, 1416-1432, 2015 | 35 | 2015 |
Endogenous market penetration dynamics of automated and connected vehicles: Transport-oriented model and its paradox T Seo, Y Asakura Transportation Research Procedia 27, 238-245, 2017 | 31 | 2017 |
Interactive online machine learning approach for activity-travel survey T Seo, T Kusakabe, H Gotoh, Y Asakura Transportation Research Part B: Methodological 123, 362-373, 2019 | 27 | 2019 |
Traffic state estimation method with efficient data fusion based on the Aw-Rascle-Zhang model T Seo, AM Bayen IEEE 20th International Conference on Intelligent Transportation Systems, 1-6, 2017 | 25 | 2017 |
Simulation approach for investigating dynamics of passenger matching problem in smart ridesharing system P Thaithatkul, T Seo, T Kusakabe, Y Asakura Transportation Research Procedia 21, 29-41, 2017 | 18 | 2017 |
Fundamental diagram of urban rail transit considering train–passenger interaction T Seo, K Wada, D Fukuda Transportation, 1-26, 2022 | 17* | 2022 |
Evaluation of large-scale complete vehicle trajectories dataset on two kilometers highway segment for one hour duration: Zen Traffic Data T Seo, Y Tago, N Shinkai, M Nakanishi, J Tanabe, D Ushirogochi, ... 2020 International Symposium on Transportation Data and Modelling, 2021 | 17 | 2021 |
Traffic density estimation method from small satellite imagery: Towards frequent remote sensing of car traffic K Sakai, T Seo, T Fuse 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1776-1781, 2019 | 17 | 2019 |
Calibration of fundamental diagram using trajectories of probe vehicles: Basic formulation and heuristic algorithm T Seo, T Kusakabe, Y Asakura Transportation Research Procedia 21, 6-17, 2017 | 17 | 2017 |
Filter comparison for estimation on discretized PDEs modeling traffic: Ensemble Kalman filter and Minimax filter T Seo, TT Tchrakian, S Zhuk, AM Bayen IEEE 55th Conference on Decision and Control, 3979-3984, 2016 | 14 | 2016 |
Social benefit of optimal ride-share transport with given travelers’ activity patterns S Aiko, R Itabashi, T Seo, T Kusakabe, Y Asakura Transportation Research Procedia 27, 261-269, 2017 | 12 | 2017 |
A reinforcement learning-based dynamic congestion pricing method for the morning commute problems K Sato, T Seo, T Fuse Transportation Research Procedia 52, 347-355, 2021 | 10 | 2021 |
Evolution of a dynamic ridesharing system based on rational behavior of users P Thaithatkul, T Seo, T Kusakabe, Y Asakura International Journal of Sustainable Transportation 13 (8), 614-626, 2019 | 10 | 2019 |
アクティビティパターンを与件としたシェアリング車両の最適割り当て問題 愛甲聡美, 瀬尾亨, P THAITHATKUL, 朝倉康夫 土木学会論文集 D3 (土木計画学) 73 (5), I_1233-I_1242, 2017 | 9 | 2017 |