Publications

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. TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer. Arxiv preprint. ASA TSIG Student Paper Award., 2022.

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. Developing a Practical Method to Compute State-Level Bus Occupancy Rate. Journal of Transportation Engineering, Part A: Systems, Vol. 147, Issue 6, 2021.

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. Optimizing Signal Timing Control for Large Urban Traffic Networks Using an Adaptive Linear Quadratic Regulator Control Strategy. IEEE Transactions on Intelligent Transportation Systems, Vol. 23, Issue 1., 2020.

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. Impact on Car Following Behavior of A Forward Collision Warning System with Headway Monitoring. Transportation Research Part C: Emerging Technologies 111, 226-244, 2020.

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. Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices. IEEE Internet of Things Journal 8 (1), 474-486, 2020.

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. Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving. Transportation Research Part C: Emerging Technologies 117, 102662, 2020.

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. Human-Like Autonomous Car-Following Planning by Deep Reinforcement Learning. Transportation Research Part C: Emerging Technologies 97, 348-368, 2018.

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. Modeling Car-Following Behavior on Urban Freeways in Shanghai: A Naturalistic Driving Study. Transportation Research Part C: Emerging Technologies 93, 425-445, 2018.

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. Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning. TR-C, 2017.

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. An Exploration of Cut-In Behavior and Gap Acceptance Using Shanghai Naturalistic Driving Data. Accepted for Presentation at the 97th TRB Annual Meeting, 2017.

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. Calibrating and Validating Car-Following Models on Urban Expressways for Chinese Drivers Using Naturalistic Driving Data. China Journal of Highway and Transport, in Press, 2017.

Project

. Calibrating Car-Following Models on Urban Expressways for Chinese Drivers Using Naturalistic Driving Data. Oral Presentation at the 96th TRB Annual Meeting, Transportation Research Part C, 2017.

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. Impacts of Situational Urgency on Drivers’ Collision Avoidance Behaviors. Journal of Tongji University, Vol. 44, No. 6, pp. 876-883, 2016.

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. Impacts of Collision Warning System on Car following Behavior Based on Naturalistic Driving Data. Journal of Tongji University, Vol. 44, No. 7, pp. 1045-1051, 2016.

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. Dimension Reduction and Multivariate Analysis of Variance for Drivers’ Forward Collision Avoidance Behavior Characteristics. Journal of Tongji University, Vol. 44, No. 12, pp. 1858-1866, 2016.

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. Drivers’ Rear End Collision Avoidance Behaviors under Different Levels of Situational Urgency. Transportation Research Part C: Emerging Technologies, Vol. 71, pp. 419-433, 2016.

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. Car-following Headways in Different Driving Situations: A Naturalistic Driving Study in China. Proceedings of the 5th International Symposium on Naturalistic Driving Research, 2016.

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. Development of a kinematic-based forward collision warning algorithm using an advanced driving simulator. IEEE Transactions on Intelligent Transportation Systems, Vol. 17, No. 9, pp. 2583-2591, 2016.

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. Impact of a Forward Collision Warning System on Headway and Reaction Time during Car Following. Proceedings of the 14th World Conference on Transport Research, 2016.

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. Car-following Headways in Different Driving Situations: A Naturalistic Driving Study. Oral Presentation at the 16th COTA International Conference of Transportation Professionals, 2016.

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