Journal papers

  1. Wang, M., Chen, Y., Kan, Y., Xu C., Lepech M., Pun, M., and Xiong, X. Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention Frequencies. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(12): 20085-20104. link

  2. Xiong, X., Wang, M., Sun, D., and Li, J. An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(11): 16536-16547. link

  3. Wang, M., Xiong, X., Kan, Y., Xu, C., and Pun, M. UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control. IEEE Transactions on Vehicular Technology, 2024, 73(10): 14354-14369.. link

  4. Yang, S., Yin, H.H., Yeung, R.W., Xiong, X., Huang, Y., Ma, L., Li, M., and Tang, C. On Scalable Network Communication for Infrastructure-Vehicular Collaborative Autonomous Driving. IEEE Open Journal of Vehicular Technology, 2022. link

  5. Xiong, X., Sha, J. and Jin, L. Optimizing Coordinated Vehicle Platooning: An Analytical Approach Based on Stochastic Dynamic Programming. Transportation Research Part B: Methodological, 2021, 150: 482-502. link

  6. Čičić, M., Xiong, X., Jin, L. and Johansson, K.H. Coordinating Vehicle Platoons for Highway Bottleneck Decongestion and Throughput Improvement. IEEE Transactions on Intelligent Transportation Systems, 2021, 23(7): 8959-8971. link

  7. Xiong, X., Ozbay, K., Jin, L., and Feng, C. Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter. Transportation Research Record, 2020, 2674(8) pp.491-503. link GitHub

Conference papers

  1. Wang, Y., Liu, L., Wang, M., and Xiong, X. Reinforcement Learning from Human Feedback for Lane Changing of Autonomous Vehicles in Mixed Traffic. In Transportation Research Board 104th Annual Meeting, TRB 2025. arXiv

  2. Liu, L., Wang, M., Pun, M., and Xiong, X. A Multi-Agent Rollout Approach for Highway Bottleneck Decongestion in Mixed Autonomy. In 27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024. arXiv

  3. Xiong, X. and Liu, L. Combining Policy Gradient and Safety-based Control for Autonomous Driving. In 24th COTA International Conference of Transportation Professional, CICTP 2024. link GitHub

  4. Wang, M., Xu, Y., Xiong, X., Kan, Y., Xu, C., and Pun, M. ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning. In Transportation Research Board 102nd Annual Meeting, TRB 2022. link

  5. Xiong, X., Xiao, E., and Jin., L. Analysis of a Stochastic Model for Coordinated Platooning of Heavy-duty Vehicles. In 58th IEEE Conference on Decision and Control, CDC 2019. link

  6. Xiong, X., Wang, T., and Jin, L. Evaluation of Headway Threshold-based Coordinated Platooning over a Cascade of Highway Junctions. In Transportation Research Board 99th Annual Meeting, TRB 2019. link

  7. Xiong, X., Jin, Z., Gao, D., and Lu, Q. Development of HIL Test Platform Based on VeriStand for Hybrid Powertrain Controller. In IEEE Conference and Expo Transportation Electrification Asia-Pacific, ITEC Asia-Pacific 2014. link

Working papers

  1. Pang, A., Wang, M., Pun, M., Chen, C., and Xiong, X. iLLM-TSC: Integration Reinforcement Learning and Large Language Model for Traffic Signal Control Policy Improvement. Preprint, July 2024. arXiv

  2. Zou, Y., Jin, L., and Xiong, X. Dyna-Style Learning with A Macroscopic Model for Vehicle Platooning in Mixed-Autonomy Traffic. Preprint, May 2024. arXiv

  3. Gao, Y., Xiong, X., and Jin, L. Proble-and-Release Control of Mixed-Autonomy Traffic at Highway Bottlenecks with Capacity Breakdowns.

Dissertation

  • Operations of Vehicle Platooning: Prediction, Optimization, and Cooperation. link