期刊论文(SCI/SSCI, * 通讯作者):
[1] Wang, Z., Qi, X., and Jiang, H.(2018). Estimating the spatiotemporal impact of traffic incidents: An integer programming approach consistent with the propagation of shockwaves. Transportation Research Part B,111, 356-369.
[2] Wang, Z., and Jiang, H. (2019).Simultaneous correction of the time and location bias associated with a reported crash by exploiting the spatiotemporal evolution of travel speed. Transportation Research Part B,123, 199-223.
[3] Wang, Z., Zhu, L., Ran, B., and Jiang, H. (2020). Queue profile estimation at a signalized intersection by exploiting the spatiotemporal propagation of shockwaves. Transportation Research Part B, 141, 59-71.
[4] Wang, Z., and Jiang, H. (2020). Identifying secondary crashes on freeways by leveraging the spatiotemporal evolution of shockwaves in the speed contour plot. Journal of Transportation Engineering, Part A, 146(2), 04019072.
[5] Zheng, Z., Qi, X., Wang, Z.* and Ran, B. (2021) Incorporating multiple congestion levels into spatiotemporal analysis for the impact of a traffic incident. Accident Analysis & Prevention, 159, 106255.
[6] Wang, Z., Liu, K., Zhu, L., and Jiang, H. (2021). Detecting the occurrence times and locations of multiple traffic crashes simultaneously with probe vehicle data. Transportation Research Part C, 126, 103014.
[7] Zheng, Z., Wang, Z.*, Chen X., Ma W., and Ran, B. (2023). Spatiotemporal clustering for the impact region caused by a traffic incident: an improved fuzzy C-means approach with guaranteed consistency. Transportmetrica A:Transport Science, 1-30.
[8] Liu, S., Zhang, Y., Wang, Z.*, and S., Gu (2023) AdaBoost-Bagging deep inverse reinforcement learning for autonomous taxi cruising route and speed planning. TransportationResearch Part E, 177, 103232.
[9] Zheng, Z., Wang, Z.*, Liu S., and Ma W. (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.
[10] Liu, S., Wang, Z.*, Zhang, Y., and Yang, H. (2024) Anomalous ride-hailing driver detection with deep transfer inverse reinforcement learning. Transportation Research Part C, 159, 104466.
[11] Chen, Z., Wang, Z., and Jiang, H. (2019). Analyzing the heterogeneous impacts of high-speed rail entry on air travel in China: A hierarchical panel regression approach. Transportation Research Part A, 127, 86-98.
[12] Zheng, Z., Wang, Z., Zhu, L., and Jiang, H. (2020). Determinants of the congestion caused by a traffic accident in urban road networks. Accident Analysis & Prevention, 136,105327.
[13] Liu, S., Wang, Z., and Jiang, H. (2022). Signal timing optimisation with the contraflow left-turn lane design using the cell transmission model. Transportmetrica A:Transport Science, 1254-1277.
