Publication

You can also find my articles on my Google Scholar profile.

†: Equal contribution. *: I’m the corresponding author.

Journal Articles

• Ma, C., Li, H., Long, K., Zhou, H., Liang, Z., Li, P., Yu, H., & Li, X. (2026). Real-time identification of cooperative perception necessity in road traffic scenarios. Transportation Research Part C: Emerging Technologies, Accepted. [Link]

• Liu, Q., Zhou, H., Huo, J., & Ma, C. (2026). Online cooperative optimization for vehicle right-of-way and trajectory based on model predictive control: A single-layer approach. Journal of Transportation Engineering Part A: Systems. Accepted.

• Zhou, H., Ma, C., Shen, S., Liang, Z., & Li, X. (2026). Towards full-scenario safety evaluation of automated vehicles: A volume-based method. Transportation Research Part C: Emerging Technologies, 183, 105485. [Link] [Code]

• Long, K., Liang, Z., Zhou, H., & Li, X. (2025). Urban Vehicle Trajectory Dataset Based on Drone Videos. IEEE Intelligent Transportation Systems Magazine. [Link] [Code]

• Zhang, Y., Ma, K., Xu, Z., Zhou, H., Ma, C., & Li, X. (2025). A modeling methodology for car-following behaviors of automated vehicles: Trade-off between stability and mobility. Transportation Research Part B: Methodological, 200, 103316. [Link]

• Cai, X., Zhou, H., Ma, C., Li, X., & Ran, B. (2025). Evaluating impacts of public transit and automobiles during connected automated vehicle adoption. Journal of Advanced Transportation, 2025(1), 4103948. [Link] [Code]

• Zhang, P., Huang, H., Zhou, H., Shi, H., Long, K., & Li, X. (2025). Online adaptive platoon control for connected and automated vehicles via physical enhanced residual learning. Transportation Research Part C: Emerging Technologies, 178, 105242. [Link] [Code]

• Zhou, H., Zhang, P., Liang, Z., Li, H., & Li, X. (2025). Coverage trajectory planning problem on 3D terrains with safety constraint for automated lawn mower: Exact and heuristic approaches. Robotics and Autonomous Systems, 105109. [Link] [Code]

• Liang, Z., Ma, C., Zhou, H., Long, K., & Li, X. (2025). An analytical eco-driving trajectory planning method with field test validation at intersections. Transportation Research Part D: Transport and Environment, 146, 104870. [Link] Video

• Zhou, H., Ma, C., Cai, X., Ma, K., Li, X., & Ran, B. (2025). Security strategy against generalized inter-vehicle cyberattacks in car-following scenarios for connected and autonomous vehicles. Transportation Research Part C: Emerging Technologies, 178, 105216. [Link] [Code]

• Wang, J., Zhang, R., Zhou, H.*, Huang, W., Feng, D., & Li, X. (2025). Optimization of asphalt mix design considering mixture performance, environmental impact, and life cycle cost. *Journal of Cleaner Production, 145618. [Link]

• Zhou, H., Ma, C., Ma, K., & Li, X. (2025). Quantile-based scenario generation for automated vehicle safety evaluation. Accident Analysis & Prevention, 218, 108043. [Link]

• Ma, C., Zhou, H., Zhang, P., Ma, K., Shi, H., & Li, X. (2025). Safety assurance adaptive control in modular autonomous vehicles. Communications in Transportation Research, 5, 100204. [Link]

• Ma, K., Zhou, H., Liang, Z., & Li, X. (2025). Automated vehicle microscopic energy consumption study (AV-Micro): Data collection and model development. Energy, 320, 135096. [Link] [Code]

• Zhou, H., Li, Y., Ma, C., Long, K., & Li, X. (2025). Modular vehicle routing problem: Applications in logistics. Transportation Research Part E: Logistics and Transportation Review, 197, 104022. [Link] [Code]

• Hao, R., Liang, S., Zhai, Z., Zhou, H., Wang, X., Li, X., & Guan, T. (2025). Privacy-preserving awareness in sensor deployment for traffic flow surveillance. Computer-Aided Civil and Infrastructure Engineering, 40, 1721–1732. [Link]

• Zhou, H., Ma, K., Liang, S., Li, X., & Qu, X. (2024). A unified longitudinal trajectory dataset for automated vehicles. Scientific Data, 11, 1123. [Link] [Code]

• Zhou, H., Qin, H., Cheng, C., & Rousseau, L. M. (2023). An exact algorithm for the two-echelon vehicle routing problem with drones. Transportation Research Part B: Methodological, 168, 124–150. [Link]

• Zhou, H., Qin, H., Zhang, Z., & Li, J. (2022). Two-echelon vehicle routing problem with time windows and simultaneous pickup and delivery. Soft Computing, 26(7), 3345–3360. [Link] [Code]

Peer-Reviewed Conference Papers

• Liang, Z., Zhou, H., Huang. H., & Li, X. (2026). High-Slip-Ratio Control for Peak Tire–Road Friction Estimation Using Automated Vehicles. Accepted by 2026 IEEE Intelligent Vehicles Symposium (IV). IEEE.

• Liang, S., Ma, C., Long, K., Zhou, H., Liu, J., & Li, X. (2026). Real-Time Traffic Crash Detection Platform Using Sparse Telematics Data from Connected Vehicle. Accepted by 2026 IEEE Intelligent Vehicles Symposium (IV). IEEE.

• Li, Z., Zhang, P., Liang, S., Zhou, H., Ma, C., Li, Q., Yao, H., & Li, X. (2026). A Multi-Modal Synchronized Dataset for Benchmarking ADAS Responses to Traffic Control Devices. Accepted by 2026 IEEE Intelligent Vehicles Symposium (IV). IEEE. [Code]

• Ma, K., Zhang, Y., Zhou, H., Liang, Z., & Li, X. (2025). Real-world automated vehicle longitudinal stability analysis: Controller design and field test. Proceedings of the 2025 IEEE International Conference on Robotics and Automation (ICRA), 1–7. IEEE. [Link]

• Zhou, H., Huang, H., Zhang, P., Shi, H., Long, K., & Li, X. (2024). Online physical enhanced residual learning for connected autonomous vehicles platoon centralized control. Proceedings of the 2024 IEEE Intelligent Vehicles Symposium (IV), 16–22. IEEE. [Link]

• Zhou, H., Ma, K., & Li, X. (2024). A review on trajectory datasets on advanced driver assistance system equipped vehicles. Proceedings of the 2024 IEEE Intelligent Vehicles Symposium (IV), 1947–1952. IEEE. [Link]

Preprints

• Zhou, H., Zhai, Y., Shen, S., Ouyang, Y., Shi, X., & Li, X. Developing a fundamental diagram for urban air mobility based on physical experiments. [Link] [Code]

• Ma, K., Zhou, H.*, Shi, H., Ma, C., & Li, X. Understanding autonomous vehicle behavior: A soft-margin approach in piecewise linear model. [Link]

• Liu, J., Ma, C., Zhou, H., Tang, W., Liang, S., Ding, H., Ran, B., & Li, X. Spontaneous risk-aware selective cooperative perception. [Link]

• Li, Z., Zhang, P., Liang, S., Zhou, H., Ma, C., Li, Q., Yao, H., & Li, X. Benchmarking Tesla’s traffic light and stop sign control: Field dataset and behavior insights. [Code]

• Liang, Z., Ma, C., Long, K., Zhou, H., & Li, X. Robustness and Resilience Evaluation of Eco-Driving Strategies at Signalized Intersections. [Link]

• Liang, S., Ma, C., Li, P., Shi, H., Liu, J., Zhou, H., Cao, B., & Li, X. Real-time lane-level crash detection on freeways using sparse telematics data. [Link]

• Chen, W., Huang, H., Ma, K., Li, H., Liang, S., Zhou, H., & Li, X. Unveiling uniform shifted power law in stochastic human and autonomous driving behavior. [Link]

• Li, H., Cao, B., Liang, Z., Li, W., Oh, J., Chen, Y., Liang, S., Zhou, H., Ma, C., Liu, J., Li, Z., Zhang, P., Long, K., Liu, M., Jiang, J., Yu, C., Liu, S., Yu, H., & Li, X. CATS-V2V: A real-world vehicle-to-vehicle cooperative perception dataset with complex adverse traffic scenarios. [Link] [Web]