| A review of game theory models of lane changing A Ji, D Levinson Transportmetrica A: Transport Science 16 (3), 1628-1647, 2020 | 97 | 2020 |
| Injury severity prediction from two-vehicle crash mechanisms with machine learning and ensemble models A Ji, D Levinson IEEE Open Journal of Intelligent Transportation Systems 1, 217 - 226, 2020 | 22 | 2020 |
| Estimating the social gap with a game theory model of lane changing A Ji, D Levinson IEEE Transactions on Intelligent Transportation Systems 22 (10), 6320-6329, 2020 | 19 | 2020 |
| An energy loss-based vehicular injury severity model A Ji, D Levinson Accident Analysis & Prevention 146, 105730, 2020 | 15 | 2020 |
| Pricing lane changes A Ji, M Ramezani, D Levinson Transportation Research Part C: Emerging Technologies 149, 104062, 2023 | 6 | 2023 |
| Modeling bounded rationality in discretionary lane change with the quantal response equilibrium of game theory B Wang, Z Li, S Wang, M Li, A Ji Transportation Research Part B: Methodological 164, 145-161, 2022 | 6 | 2022 |
| Joint modelling of longitudinal and lateral dynamics in lane-changing maneuvers A Ji, M Ramezani, D Levinson Transportmetrica B: Transport Dynamics, 2022 | 3 | 2022 |
| Moving Array Traffic Probes B Davis, A Ji, B Liu, DM Levinson Frontiers in Future Transportation, 2020 | 3 | 2020 |
| A reproducible approach to merging behavior analysis based on High Definition Map Y Li, Y Liu, D Ni, A Ji, L Li, Y Zou arXiv preprint arXiv:2303.11531, 2023 | 2 | 2023 |
| Game theoretic application to intersection management: A literature review Z Qin, A Ji, Z Sun, G Wu, P Hao, X Liao IEEE Transactions on Intelligent Vehicles, 2024 | 1 | 2024 |
| Cooperative Merging for Connected Automated Vehicles in Mixed Traffic: A Multi-Agent Reinforcement Learning Approach Z Sun, J Huang, A Ji, R Zhao, G Zheng Available at SSRN 4564695, 2023 | 1 | 2023 |
| Microscopic Right-of-Way Trading Mechanism for Cooperative Decision-Making: Theories and Preliminary Results Z Sun, Z Qin, R Ma, T Huang, Z Gao, A Ji Available at SSRN 4571173, 2023 | 1 | 2023 |
| Cooperative lane-changing in mixed traffic: A deep reinforcement learning approach X Yao, Z Du, Z Sun, SC Calvert, A Ji Transportmetrica A: Transport Science, 1-23, 2024 | | 2024 |
| A traffic flow forecasting model using graph convolutional recurrent neural networks with incomplete data Z Sun, J Dai, Y Zhao, Z Chao, A Ji 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| An interpretable machine learning-based analysis of vehicle yielding during pedestrian-vehicle interactions at unsignalized intersections R Wang, A Ji, T Li, Z Sun, F Zhijian 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Coupled lateral and longitudinal trajectory tracking control with a modified vehicle kinematics model for autonomous vehicles S Li, Z Sun, Y Liu, A Ji, S Zhang, L Chen Intelligent Transportation Infrastructure 2, liad009, 2023 | | 2023 |
| A Deep Reinforcement Learning Approach for Automated On-Ramp Merging R Zhao, Z Sun, A Ji 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | | 2022 |
| Traffic programming: Aligning incentives for socially efficient lane changes among non-connected vehicles A Ji The University of Sydney, 2022 | | 2022 |
| 2020 Index IEEE Open Journal of Intelligent Transportation Systems Vol. M Abdallah, M Al-Ammari, A Al-Dweik, AE Assaad, A Ayadi, ... | | |
David M. LevinsonProfessor of Transport, TransportLab, School of Civil Engineering, University of SydneyVerified email at sydney.edu.au
