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XINZHI ZHONG
XINZHI ZHONG
PhD Student
在 wisc.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
A copula-based approach for accommodating the underreporting effect in wildlife‒vehicle crash analysis
Y Zou, X Zhong, J Tang, X Ye, L Wu, M Ijaz, Y Wang
Sustainability 11 (2), 418, 2019
382019
Comparative Analysis of the Reported Animal‐Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification
X Yang, Y Zou, L Wu, X Zhong, Y Wang, M Ijaz, Y Peng
Journal of advanced transportation 2019 (1), 3521793, 2019
172019
Data-driven analysis for disturbance amplification in car-following behavior of automated vehicles
Y Zhou, X Zhong, Q Chen, S Ahn, J Jiang, G Jafarsalehi
Transportation research part B: methodological 174, 102768, 2023
112023
Developing a Clustering‐Based Empirical Bayes Analysis Method for Hotspot Identification
Y Zou, X Zhong, J Ash, Z Zeng, Y Wang, Y Hao, Y Peng
Journal of Advanced Transportation 2017 (1), 5230248, 2017
72017
Finite mixture survival model for examining the variability of urban arterial travel time for buses, passenger cars and taxis
X Zhong, Y Zou, Z Dong, S Yuan, M Ijaz
IET Intelligent Transport Systems 14 (12), 1524-1533, 2020
62020
Understanding heterogeneity of automated vehicles and its traffic-level impact: A stochastic behavioral perspective
X Zhong, Y Zhou, S Ahn, D Chen
Transportation Research Part C: Emerging Technologies 164, 104667, 2024
42024
Analyzing freeway traffic incident clearance time using a deep survival model
Y Zou, W Han, Y Zhang, J Tang, X Zhong
Journal of transportation engineering, Part A: Systems 149 (10), 04023101, 2023
42023
Human-Machine Interaction in Automated Vehicles: Reducing Voluntary Driver Intervention
X Zhong, Y Zhou, V Kamara, Z Zhou, W Kontar, D Negrut, JD Lee, S Ahn*.
Transportation Research Board 103th Annual Meeting Transportation Research Board, 2024
12024
Data-Driven Analysis for Disturbance Amplification in Car-Following Behavior of Automated Vehicles
Y Zhou, X Zhong, Q Chen, S Ahn, J Jiang, G Jafarsalehi
Available at SSRN 4213496, 2022
12022
Corrigendum to “Understanding heterogeneity of automated vehicles and its traffic-level impact: A stochastic behavioral perspective”[Transp. Res. Part C emerg. Technol. 164 …
X Zhong, Y Zhou, S Ahn, D Chen
Transportation Research Part C: Emerging Technologies 169, 104877, 2024
2024
Learning Driver Models for Automated Vehicles via Knowledge Sharing and Personalization
W Kontar, X Zhong, S Ahn
Transportation Research Record, 03611981241298583, 2023
2023
Determining Optimal Segment Lengths for Traffic Safety Analysis Based on Spectral Analysis
X Zhao, Y Peng, X Zhong
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
2019
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