!!Xiaobo Qu - Selected Publications

1. Zhou, M., Qu, X., and 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. \\
\\
2. Liu, Z., Yan, Y., Qu, X., and Zhang, Y., 2013. Bus stop-skipping scheme with random travel time. Transportation Research Part C, 35, 46-56. \\
\\
3. Qu, X., and Wang, S., 2015. Long distance commuter lane: A new concept for freeway traffic management. Computer-Aided Civil and Infrastructure Engineering, 30(10), 815-823. \\
\\
4. Kuang, Y., Qu, X.*, and S. Wang, 2015. A tree-structured crash surrogate measure for freeways. Accident Analysis and Prevention, 77, 137-148 (Impact Factor = 3.1). \\
\\
5. Qu, X.*, Wang, S., and Zhang, J., 2015. On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models. Transportation Research Part B, 73, 91-102. \\
\\
6. Li, X., Ghiasi, A., Xu, Z., and Qu, X. *, 2018. A Piecewise Trajectory Optimization Model for Connected Automated Vehicles: Exact Optimization Algorithm and Queue Propagation Analysis. Transportation Research Part B, 118, 429-456. \\
\\
7. Qu, X.*, Zhang, J., and Wang, S., 2017. On the Stochastic Fundamental Diagram for Freeway Traffic: Model Development, Analytical Properties, Validation, and Extensive Applications. Transportation Research Part B, 104, 256-271. \\
\\
8. Wang, S., Zhang, W., and Qu, X.*, 2018. Trial-and-error train fare design scheme for addressing boarding/alighting congestion at CBD stations. Transportation Research Part B, 118, 318-335.  \\
\\
9. Zhou, M., Qu, X.*, and 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.\\
\\
10. Qu, X., Yu, Y., Zhou, M., Lin, C.T., and 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.