| Traffic state estimation on highway: A comprehensive survey T Seo, AM Bayen, T Kusakabe, Y Asakura Annual reviews in control 43, 128-151, 2017 | 424 | 2017 |
| Behavioural data mining of transit smart card data: A data fusion approach T Kusakabe, Y Asakura Transportation Research Part C: Emerging Technologies 46, 179-191, 2014 | 319 | 2014 |
| Estimation method for railway passengers’ train choice behavior with smart card transaction data T Kusakabe, T Iryo, Y Asakura Transportation 37, 731-749, 2010 | 190 | 2010 |
| 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 | 172 | 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 | 110 | 2015 |
| Incident detection methods using probe vehicles with on-board GPS equipment Y Asakura, T Kusakabe, LX Nguyen, T Ushiki Transportation research part C: emerging technologies 81, 330-341, 2017 | 78 | 2017 |
| 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 | 72 | 2019 |
| Traffic state estimation with the advanced probe vehicles using data assimilation T Seo, T Kusakabe, Y Asakura 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 72 | 2015 |
| Estimation of behavioural change of railway passengers using smart card data Y Asakura, T Iryo, Y Nakajima, T Kusakabe Public Transport 4, 1-16, 2012 | 60 | 2012 |
| Incident detection methods using probe vehicles with on-board GPS equipment Y Asakura, T Kusakabe, NX Long, T Ushiki Transportation Research Procedia 6, 17-27, 2015 | 41 | 2015 |
| Effects of traffic incident information on drivers’ route choice behaviour in urban expressway network T Kusakabe, T Sharyo, Y Asakura Procedia-Social and Behavioral Sciences 54, 179-188, 2012 | 41 | 2012 |
| 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 | 36 | 2015 |
| 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 |
| Probe vehicle-based traffic flow estimation method without fundamental diagram T Seo, T Kusakabe Transportation Research Procedia 9, 149-163, 2015 | 24 | 2015 |
| 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 | 19 | 2017 |
| Estimation of bus passengers’ waiting time at a coach terminal with Wi-Fi MAC addresses T Kusakabe, H Yaginuma, D Fukuda Transportation Research Procedia 32, 62-68, 2018 | 17 | 2018 |
| 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 |
| Behavioural analysis of railway passengers using smart card data Y Asakura, T Iryo, Y Nakajima, T Kusakabe, Y Takagi, M Kashiwadani WIT Transactions on the Built Environment 101, 599-608, 2008 | 13 | 2008 |
| 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 | 11 | 2017 |
| 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 |
Yasuo AsakuraTokyo Institute of Technology確認したメール アドレス: plan.cv.titech.ac.jp
