[1]
Shan
Liu
,
Hai
Jiang, Shuiping Chen, Jing Ye, Renqing He, Zhizhao Sun (2020). Integrating Dijkstra’s algorithm into deep inverse reinforcement learning for food delivery route planning.
Transportation Research Part E
, 142, 102070.
[2]
Shan
Liu
,
Hai
Jiang
,
Zhe
Chen (2021). Quantifying the impact of weather on ride-hailing ridership: Evidence from Haikou, China.
Travel Behaviour and Society
, 24, 257-269.
[3]
Shan
Liu
,
Hai
Jiang
(2022)
. Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions.
Transportation Research Part E
, 164, 102780.
[4]
Shan
Liu
,
Zhengli
Wang,
Hai
Jiang
(2022). Signal timing optimisation with the contraflow left-turn lane design using the cell transmission model.
Transportmetrica A
, 18(3), 1254-1277.
[5] Pujun Zhang,
Shan Liu
, Jia Shi, Liying Chen, Shuiping Chen, Jiuchong Gao,
Hai
Jiang (2023). Route Planning Using Divide-and-Conquer: A Gat Enhanced Insertion Transformer Approach.
Transportation Research Part E
, 176, 103176.
[6]
Shan Liu
, Ya Zhang, Zhengli Wang, Shiyi Gu (2023). AdaBoost-Bagging deep inverse reinforcement learning for autonomous taxi cruising route and speed planning.
Transportation Research Part E,
177, 103232
.
[7] Zhenjie Zheng, Zhengli Wang,
Shan Liu
, Wei Ma (2024). Exploring the spatial effects on the level of congestion caused by traffic accidents in urban road networks: A case study of Beijing.
Travel Behaviour and Society,
35, 100728.
[8]
Shan Liu
, Ya Zhang, Zhengli Wang, Hai Yang (2024). Anomalous ride-hailing driver detection with deep transfer inverse reinforcement learning.
Transportation Research Part C
, 159, 104466.
[9] Pujun Zhang, Dazhou Lei,
Shan Liu
, Hai Jiang (2024). Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning.
Transportation Research Part E
, 185, 103485.
