1. Liu, M., Hao, H., Sun, X., Geng, Y., Reiner, D., Hubacek, K., Qu, X., Lu, J., You, F., & Zhao, F. (2025). The potential for differentiated vehicle segment tariffs. Nature Energy. Advance online publication. https://doi.org/10.1038/s41560-025-01798-6.
2. Wang, K., Li, A., Qu, X., 2023. Urban aerial mobility: Network structure, transportation benefits and Sino-US comparison. The Innovation, 100393.
3. Qu X., Zhong L., Zeng Z., Tu H., and Li X., 2022. Automation and connectivity of electric vehicles: Energy boon or bane? Cell Reports Physical Science, 3 (8), 101002
4. Basso, R., Kulcsar, B., Sanchez-Diaz, I., Qu, X., 2022. Dynamic Stochastic Electric Vehicle Routing with Safe Reinforcement Learning. Transportation Research Part E, 157, 102496.
5. Chen Z, Li X, and Qu X., 2022. A continuous model for designing corridor systems with modular autonomous vehicles enabling station-wise docking. Transportation Science, 56(1), 1-30.
6. Wu J, Kulcsár B, Selpi, Qu X., 2021. A Modular, Adaptive, and Autonomous Transit System (MAATS): A In-motion Transfer Strategy and Performance Evaluation in Urban Grid Transit Networks. Transportation Research Part A: Policy and Practice, 151, 81-98.
7. Zhang L, Wang S, and Qu X, 2020. Optimal electric bus fleet scheduling considering battery degradation and non-linear charging profile. Transportation Research Part E: Transportation and Logistics Review, 154, 102445, (also part of ISTTT2022 - acceptance rate: 10%).
8. Wu J, Ahn S, Zhou Y, Liu P, Qu X., 2021. The cooperative sorting strategy for connected and automated vehicle platoons. Transportation Research Part C: Emerging Technologies, 123, 102986.
9. Zhou M, Yu Y, Qu X., 2020. Development of an Efficient Driving Strategy for Connected and Automated Vehicles at Signalized Intersections: A Reinforcement Learning Approach. IEEE Transactions on Intelligent Transportation Systems, 21(1): 433-443.
10. Wu J, Kulcsár B, Ahn S, Qu X., 2020. Emergency vehicle lane pre-clearing: From microscopic cooperation to routing decision making. Transportation Research Part B: Methodological, 141: 223-239.
11. Varga B, Tettamanti T, Kulcsár B, Qu X., 2020. Public transport trajectory planning with probabilistic guarantees. Transportation Research Part B: Methodological, 139: 81-101.
12. Qu X, Yu Y, Zhou M, Lin C, Wang X., 2020. Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach. Applied Energy, 257, 114030.
13. Wang S, Yan R, Qu X., 2019. Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation. Transportation Research Part B: Methodological, 128: 129-157.
14. Li X, Medal H, Qu X., 2019. Connected infrastructure location design under additive service utilities. Transportation Research Part B: Methodological, 120: 99-124.
15. Wang S, Zhang W, Qu X., 2018. Trial-and-error train fare design scheme for addressing boarding/alighting congestion at CBD stations. Transportation Research Part B: Methodological, 118: 318-335.
16. Li X, Ghiasi A, Xu Z, Qu X., 2018. A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis. Transportation Research Part B: Methodological, 118: 429-456.
17. Zhou M, Qu X, Li X., 2017. A recurrent neural network based microscopic car following model to predict traffic oscillation. Transportation Research Part C: Emerging Technologies, 84: 245-264.
18. Zhou M, Qu X, Jin S., 2017. On the Impact of Cooperative Autonomous Vehicles in Improving Freeway Merging: A Modified Intelligent Driver Model-Based Approach. IEEE Transactions on Intelligent Transportation Systems, 18(6): 1422-1428.
19. Qu X, Zhang J, Wang S., 2017. On the stochastic fundamental diagram for freeway traffic: Model development, analytical properties, validation, and extensive applications. Transportation Research Part B: Methodological, 104: 256-271.
20. Qu X, Wang S, Zhang J., 2015. On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models. Transportation Research Part B: Methodological, 71: 91-102.