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 | 38 | 2019 |
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 | 17 | 2019 |
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 | 11 | 2023 |
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 | 7 | 2017 |
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 | 6 | 2020 |
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 | 4 | 2024 |
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 | 4 | 2023 |
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 | 1 | 2024 |
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 | 1 | 2022 |
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 |