A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to ai-guided driving policy learning X Di, R Shi Transportation Research Part C 125, 2021 | 171 | 2021 |
Boundedly rational route choice behavior: A review of models and methodologies X Di, HX Liu Transportation Research Part B: Methodological 85, 142-179, 2016 | 161 | 2016 |
Measuring the impact of an unanticipated suspension of ride-sourcing in Austin, Texas RC Hampshire, C Simek, T Fabusuyi, X Di, X Chen SSRN Electron. J 10, 2017 | 145* | 2017 |
A physics-informed deep learning paradigm for traffic state and fundamental diagram estimation R Shi, Z Mo, K Huang, X Di, Q Du IEEE Transactions on Intelligent Transportation Systems 23 (8), 11688-11698, 2021 | 124* | 2021 |
Boundedly rational user equilibria (BRUE): mathematical formulation and solution sets X Di, HX Liu, JS Pang, XJ Ban Procedia-Social and Behavioral Sciences 80, 231-248, 2013 | 122 | 2013 |
A physics-informed deep learning paradigm for car-following models Z Mo, R Shi, X Di Transportation research part C: emerging technologies 130, 103240, 2021 | 112 | 2021 |
Second best toll pricing within the framework of bounded rationality X Di, HX Liu, XJ Ban Transportation Research Part B: Methodological 83, 74-90, 2016 | 90 | 2016 |
A link-node reformulation of ridesharing user equilibrium with network design X Di, R Ma, HX Liu, XJ Ban Transportation Research Part B: Methodological 112, 230-255, 2018 | 81 | 2018 |
Optimal passenger-seeking policies on E-hailing platforms using Markov decision process and imitation learning Z Shou, X Di, J Ye, H Zhu, H Zhang, R Hampshire Transportation Research Part C: Emerging Technologies 111, 91-113, 2020 | 79 | 2020 |
Large-scale short-term urban taxi demand forecasting using deep learning S Liao, L Zhou, X Di, B Yuan, J Xiong 2018 23rd Asia and south pacific design automation conference (ASP-DAC), 428-433, 2018 | 77 | 2018 |
Braess paradox under the boundedly rational user equilibria X Di, X He, X Guo, HX Liu Transportation Research Part B: Methodological 67, 86-108, 2014 | 72 | 2014 |
A unified equilibrium framework of new shared mobility systems X Di, XJ Ban Transportation Research Part B: Methodological 129, 50-78, 2019 | 58 | 2019 |
Indifference bands for boundedly rational route switching X Di, HX Liu, S Zhu, DM Levinson Transportation 44, 1169-1194, 2017 | 54 | 2017 |
Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment Z Shou, X Chen, Y Fu, X Di Transportation Research Part C: Emerging Technologies 137, 103560, 2022 | 51* | 2022 |
An LSTM-based autonomous driving model using a waymo open dataset Z Gu, Z Li, X Di, R Shi Applied Sciences 10 (6), 2046, 2020 | 49 | 2020 |
A game-theoretic framework for autonomous vehicles velocity control: Bridging microscopic differential games and macroscopic mean field games X Huang, Kuang, Di, Xuan, Du, Qiang, Chen Discrete and Continuous Dynamical Systems - Series B 25 (12), 4869-4903, 2020 | 48* | 2020 |
Similarity analysis of frequent sequential activity pattern mining Z Shou, X Di Transportation Research Part C: Emerging Technologies 96, 122-143, 2018 | 46 | 2018 |
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning Z Shou, X Di Transportation Research Part C 119 (102738), 2020 | 45 | 2020 |
Ridesharing user equilibrium and its implications for high-occupancy toll lane pricing X Di, HX Liu, X Ban, H Yang Transportation Research Record 2667 (1), 39-50, 2017 | 44 | 2017 |
Submission to the DTA 2012 special issue: On the stability of a boundedly rational day-to-day dynamic X Di, HX Liu, XX Ban, JW Yu Networks and Spatial Economics 15, 537-557, 2015 | 39 | 2015 |