Integrating Dijkstra’s algorithm into deep inverse reinforcement learning for food delivery route planning S Liu, H Jiang, S Chen, J Ye, R He, Z Sun Transportation Research Part E: Logistics and Transportation Review 142, 102070, 2020 | 108 | 2020 |
Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions S Liu, H Jiang Transportation Research Part E: Logistics and Transportation Review 164, 102780, 2022 | 28 | 2022 |
Quantifying the impact of weather on ride-hailing ridership: Evidence from Haikou, China S Liu, H Jiang, Z Chen Travel Behaviour and Society 24, 257-269, 2021 | 26 | 2021 |
Signal timing optimisation with the contraflow left-turn lane design using the cell transmission model S Liu, Z Wang, H Jiang Transportmetrica A: transport science 18 (3), 1254-1277, 2022 | 14 | 2022 |
Exploring the spatial effects on the level of congestion caused by traffic accidents in urban road networks: A case study of Beijing Z Zheng, Z Wang, S Liu, W Ma Travel behaviour and society 35, 100728, 2024 | 12 | 2024 |
AdaBoost-Bagging deep inverse reinforcement learning for autonomous taxi cruising route and speed planning S Liu, Y Zhang, Z Wang, S Gu Transportation Research Part E: Logistics and Transportation Review 177, 103232, 2023 | 9 | 2023 |
Route planning using divide-and-conquer: A GAT enhanced insertion transformer approach P Zhang, S Liu, J Shi, L Chen, S Chen, J Gao, H Jiang Transportation Research Part E: Logistics and Transportation Review 176, 103176, 2023 | 3 | 2023 |
Anomalous ride-hailing driver detection with deep transfer inverse reinforcement learning S Liu, Z Wang, Y Zhang, H Yang Transportation research part C: emerging technologies 159, 104466, 2024 | 2 | 2024 |
CTM-based traffic signal optimization with variable speed limit and dynamic lane allocation S Liu, H Jiang, Y Zhang 2023 6th International Symposium on Autonomous Systems (ISAS), 1-6, 2023 | 1 | 2023 |