Published and Accepted

• Li, Z., Meng, H., Ma, C.*, Ma, K., & Li, X*. (2026). Assessing markov property in driving behaviors: Insights from statistical tests. Transportation Research Part E: Logistics and Transportation Review, 209, 104740.
• Liu, T., Ma, K.*, Liu, Y., & Li, X. (2026). Mining and Evaluating Autonomous Vehicle Behaviors: A Scene-Categorization Framework for Controlled Intersections. IEEE International Conference on Intelligent Transportation Systems (IEEE-ITSC).
• Ma, C., Zhou, H., Zhang, D., Ma, K., Shi, H., & Li, X*. (2025). Safety assurance adaptive control for modular autonomous vehicles. Communications in Transportation Research, 5, 100204.
• 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.
• Ma, K., Liang, Z., Zhou, H., & Li, X*. (2024). An Advanced Microscopic Energy Consumption Model for Automated Vehicle: Development, Calibration, Verification. arXiv preprint arXiv:2408.11797.
• Ma, K., Zhang, Yuqin, Zhou, Hang, Liang, Zhaohui and Li, Xiaopeng*. Real-world Automated Vehicle Longitudinal Stability Analysis: Controller Design and Field Test. Available at SSRN.
• Ma, K., Shi, H. #, Ma, C., Huang, Z. #, Wang, Q., Li, X., Hourdos, J., & McHale, G. (2024). Development, calibration, and validation of a novel nonlinear car-following model: Multivariate piecewise linear approach for adaptive cruise control vehicles. Transportation Research Part E, accepted.
• Zhou, H. #, Ma, K. #*, Liang, S., Li, X., Qu, X. (2024). A unified longitudinal trajectory dataset for automated vehicle. Scientific Data, 11.1 (2024): 1123.
• Ma, K., Wang, H.*, Zuo, Z., Hou, Y., Li, X., & Jiang, R. (2022). String stability of automated vehicles based on experimental analysis of feedback delay and parasitic lag. Transportation Research Part C: Emerging Technologies, 145, 103927.
• Ma, K., Wang, H.*, & Ruan, T. (2021). Analysis of road capacity and pollutant emissions: Impacts of connected and automated vehicle platoons on traffic flow. Physica A: Statistical Mechanics and its Applications, 583, 126301.
• Zhou, L., Ruan, T., Ma, K., Dong, C., & Wang, H.*. (2021). Impact of CAV platoon management on traffic flow considering degradation of control mode. Physica A: Statistical Mechanics and Its Applications, 581, 126193.
• Ma, K., & Wang, H.*. (2021). How connected and automated vehicle–exclusive lanes affect on-ramp junctions. Journal of Transportation Engineering, Part A: Systems, 147(2), 04020157.
• Jin, C. J.*, Shi, X., Hui, T., Li, D., & Ma, K. (2021). The Automatic Detection of Pedestrians under the High‐Density Conditions by Deep Learning Techniques. Journal of Advanced Transportation, 2021(1), 1396326.
• Ma, K., & Wang, H.*. (2020). Lane-changing decision model for connected and automated vehicle based on back-propagation neural network. In International Conference on Transportation and Development 2020 (pp. 163-173). Reston, VA: American Society of Civil Engineers.
• Ma, K., & Wang, H.*. (2019). Influence of exclusive lanes for connected and autonomous vehicles on freeway traffic flow. IEEE Access, 7, 50168-50178.

Under Review

• Liu, Y., Liu, T., Li, X., Li, J., & Ma, K*. (2026). Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction. arXiv preprint arXiv:2605.10388.
• Li, X., Wang, C., Liu, Y., He, D., Zhang, J., & Ma, K*. (2025). PAVE: An End-to-End Dataset for Production Autonomous Vehicle Evaluation. arXiv preprint arXiv:2511.14185.
• Chen, W., Huang, H., Ma, K., Li, H., Liang, S., Zhou, H., & Li, X. (2025). Unveiling Uniform Shifted Power Law in Stochastic Human and Autonomous Driving Behavior. arXiv preprint arXiv:2511.00659.
• Ma, K., Liang, Z., Li H., Cao B., Huang H., Zhou H., Li, X.*. A Sustainable Vehicle-to-Vehicle Communication System: Visual-Enhanced Cooperative Traffic Operations. Nature Energy.
• Ma, K., Shi, H*., Li, X., Ma, C. Huang Z*. Multivariate Piecewise Linear (MPL) car-following model for ACC vehicles. FHWA report. Transportation Research Part E.
• Ma, K., Shi, H*., Li, X., Ma, C*. Establishment of A Nonlinear Car-following Model for Electric Automated Vehicle Based on Empirical Data. Transportation Research Part C.
• Ma K., Zhou H., Shi H., Ma C., Li X*. Understanding Autonomous Vehicle Behavior: A Soft-Margin Approach in Piecewise Linear Model. AAAI 2025.
• Ma, K., Li, X.*, Chen Z., Liang, Z., Zhang P., & Shi, H. Characterization of String Stability for Non-linear Automated Vehicle Model: Theoretical Properties, Field-data Verification, and Dampening Oscillation.
• Ma K. Automated Vehicle Longitudinal Control: Design, Analysis, and Field Test. Dissertation.
• Li Z., Shi, H*., Ma K., Zhou H., Ma C., X Li. The Tragedy of the Commons of the Automated Systems. 2023.
• Hang Zhou; Chengyuan Ma, Ph.D.; Ma K., X Li*. Quantile-based Scenario Generation for Automated Vehicle Safety Evaluation. Accident Analysis and Prevention.

Podium Presentations

• Li Z., Meng H., Ma C., Ma K.*, Li X. "Assessing Markov Property in Driving Behaviors: Insights from Statistical Tests." Presented at the Transportation Research Board 103rd Annual Meeting (TRBAM), Washington, D.C. (TRBAM-25-04931). (2025 AED60 Best Paper Award)
• Ma K., Li X. Presented at the Next-Generation Transport Systems Conference (NGTS-3), Purdue, and the American Society of Civil Engineers International Conference on Transportation & Development (ASCE ICTD). (Best Presentation Award)
• Ma K., Li X., Shi H., Ma C., Huang Z., Ghiasi A., Wang Q., Hourdos J., McHale G. "A Novel Non-linear Car-following Model for Automated Vehicle: Development, Calibration, and Validation." Presented at the 103rd Annual Meeting of the Transportation Research Board, Washington.
• Ma, K., Wang, H. "Analysis on the Road Capacity: Connected and Automated Vehicle Platoons in the Mixed Traffic Flow." Presented at the 11th International Conference on Green Intelligent Transportation System and Safety, Beijing, October 2020.