| A multiphase optimal control method for multi-train control and scheduling on railway lines H Ye, R Liu Transportation Research Part B: Methodological 93, 377-393, 2016 | 108 | 2016 |
| Continuous price and flow dynamics of tradable mobility credits H Ye, H Yang Transportation Research Part B: Methodological 57, 436-450, 2013 | 72 | 2013 |
| Nonlinear programming methods based on closed-form expressions for optimal train control H Ye, R Liu Transportation Research Part C: Emerging Technologies 82, 102-123, 2017 | 62 | 2017 |
| Exploration of day-to-day route choice models by a virtual experiment H Ye, F Xiao, H Yang Transportation Research Part C: Emerging Technologies 94, 220-235, 2018 | 56 | 2018 |
| Physics of day-to-day network flow dynamics F Xiao, H Yang, H Ye Transportation Research Part B: Methodological 86, 86-103, 2016 | 53 | 2016 |
| Learning marginal-cost pricing via trial-and-error procedure with day-to-day flow dynamics H Ye, H Yang, Z Tan Transportation Research Part B: Methodological 7, 794-807, 2015 | 47 | 2015 |
| Rational behavior adjustment process with boundedly rational user equilibrium H Ye, H Yang Transportation Science 51 (3), 968-980, 2017 | 46 | 2017 |
| Day-to-day dynamics with advanced traveler information H Ye, F Xiao, H Yang Transportation Research Part B: Methodological 144, 23-44, 2021 | 25 | 2021 |
| Speed limits, speed selection and network equilibrium H Yang, H Ye, X Li, B Zhao Transportation Research Part C: Emerging Technologies 51, 260-273, 2015 | 16 | 2015 |
| Decentralizing Pareto-efficient network flow/speed patterns with hybrid schemes of speed limit and road pricing X Wang, H Ye, H Yang Transportation Research Part E: Logistics and Transportation Review 83, 51-64, 2015 | 9 | 2015 |
| Optimal driving for vehicle fuel economy under traffic speed uncertainty F Wu, T Bektaş, M Dong, H Ye, D Zhang Transportation Research Part B: Methodological 154, 175-206, 2021 | 8 | 2021 |
| A Poisson-based distribution learning framework for short-term prediction of food delivery demand ranges J Liang, J Ke, H Wang, H Ye, J Tang IEEE Transactions on Intelligent Transportation Systems, 2023 | 6 | 2023 |
| On Stochastic-User-Equilibrium-Based Day-to-Day Dynamics H Ye Transportation Science 56 (1), 103-117, 2021 | 5 | 2021 |
| Developing Integrated Tools to Optimise Railway Systems: An Overview J Preston, A Kovacs, P James, H Ye | 2 | 2017 |
| Optimal pricing of day-to-day flow dynamics F Xiao, H Ye, H Yang | 1 | 2014 |
| Deep Learning for Traffic Prediction and Trend Deviation Identification: A Case Study in Hong Kong X Zou, E Chung, H Ye, H Zhang | | 2024 |
| Real-time Scheduling of Electric Bus Flash Charging at Intermediate Stops: A Deep Reinforcement Learning Approach X Bi, R Wang, H Ye, Q Hu, S Bu, E Chung IEEE Transactions on Transportation Electrification, 2023 | | 2023 |
| DITTO Project Deliverable 1.3 Milestone 8 Towards Tool Interaction and Safety Assessment J Preston, J Armstrong, A Kovacs, R Liu, H Ye, P James, X Wang, F Moller, ... | | 2016 |
| Day-to-day Flow Dynamics with User Learning H Ye, F Xiao, H Yang | | 2014 |
| Continuous Price and Flow Dynamics of Tradable Mobility Credits with Price Regulation H Ye, H Yang Travel Behaviour & Society: Proceedings of the 18th International Conference …, 2013 | | 2013 |
Hai YangThe Hong Kong University of Science and TechnologyAdresse e-mail validée de ust.hk
