Yuyan (Annie) Pan

Yuyan (Annie) Pan

Connected and Automated Vehicles, Electric Vehicles, Traffic Demand Management, Traffic Flow Theory, Machine Learning

Publications

  1. Li, A., Pan, Y., Xu, Z., Bi, H., Gao, B., Li, Y., & Chen, Y. (2025). Predictive Motion Planning for Intelligent Connected Vehicles Based on Transformer. Journal of South China University of Technology.

  2. Pan, Y., Hu, X., List, G., & Zhou, X. (2025). A Review of Volume-Delay Functions Integrating Traditional Models and Emerging AI Technologies. Communications in Transportation Research.

  3. Pan, Y., Hu, X., Tang, Q., Chen, Y., & Zhou, X. (2025). Enhancing Traffic State Estimation at Bottlenecks through Improved Demand Modeling: A Greenshields-Grounded Approach. Transportation Research Record.

  4. Li, A., Xu, Z., Pan, Y., Zhang, J., Chen, N., Yu, H., Chen, Y., & Li, Y. (2025). CMTT: A Convolutional Transformer Network for Vehicle Trajectory Prediction in Urban Traffic Scenarios. Journal of Transportation Engineering, Part A: Systems.

  5. Li, A., Pan, Y., Xu, Z., Bi, H., Gao, B., Li, K., & Chen, Y. (2025). MaTVT: A Transformer-Based Approach for Multi-Agent Prediction in Complex Traffic Scenarios. IEEE Transactions on Vehicular Technology.

  6. Li, A., Xu, Z., Pan, Y., Gao, B., Zhang, J., Chen, Y., & Li, Y. (2025). Cell-Trans: A Traffic Prediction Method for Motion Planning of Autonomous Vehicles at Signalized Intersections. Journal of Transportation Engineering, Part A: Systems, 151(12), 04025102.

  7. Pan, Y., Song, Y., Yang, T., Ding, Y., & Hu, X. (2025). Equitable Urban Electric Vehicle Charging: Feasibility and Benefits of Streetlight Charging in Kansas City Right-of-Way. Journal of Urban Planning and Development.

  8. Pan, Y., Zhang, B., Guo, J., Chen, Y., & Zhao, H. (2025). Road Impedance Function for Oversaturated Traffic State Based on Fundamental Diagram. Journal of Highway and Transportation Research and Development.

  9. Yang, T., Ding, Y., Li, K., Pan, Y., Qin, R., Yin, Z., & Hu, X. (2025). SimLKAS: A Simulation-Based Framework for the Verification and Validation of Lane Keeping Assistance Systems. Journal of Intelligent Transportation Systems, 1–25.

  10. Li, A., Xu, Z., Li, W., Chen, Y., & Pan, Y.* (2025). Urban Signalized Intersection Traffic State Prediction: A Spatial-Temporal Graph Model Integrating the Cell Transmission Model and Transformer. Applied Sciences.

  11. Pan, Y., Li, F., Li, A., Niu, Z., & Liu, Z. (2025). Urban Intersection Traffic Flow Prediction: A Physics-Guided Stepwise Framework Utilizing Spatio-Temporal Graph Neural Network Algorithms. Multimodal Transportation.

  12. Pan, Y., Cheng, Q., Li, A., Zhang, J., Guo, J., & Chen, Y. (2024). Analysis of Congestion Key Parameters, Dynamic Discharge Process, and Capacity Estimation at Urban Freeway Bottlenecks: A Case Study in Beijing, China. Transportation Letters.

  13. Li, W., Chen, Y., Pan, Y., & Zhang, Y. (2024). An Improved Spatio-Temporal Network Traffic Flow Prediction Method Based on Impedance Matrix. Journal of Highway and Transportation Research and Development.

  14. Zhao, H., Chen, Y., Zhang, B., & Pan, Y. (2024). Study on Transit Signal Priority Timing Considering Traffic and Environmental Benefit. Journal of Highway and Transportation Research and Development.

  15. Pan, Y., Guo, J., Chen, Y., Cheng, Q., Li, W., & Liu, Y. (2024). A Fundamental Diagram-Based Hybrid Framework for Traffic Flow Estimation and Prediction by Combining a Markovian Model with Deep Learning. Expert Systems with Applications, 122219.

  16. Pan, Y., Zheng, H., Guo, J., & Chen, Y. (2023). Modified Volume-Delay Function Based on Traffic Fundamental Diagram: A Practical Calibration Framework for Estimating Congested and Uncongested Conditions. Journal of Transportation Engineering, Part A: Systems, 149(11), 04023112.

  17. Pan, Y., Guo, J., & Chen, Y. (2022). Calibration of Dynamic Volume-Delay Functions: A Rolling Horizon-Based Parsimonious Modeling Perspective. Transportation Research Record, 2676(2), 606–620.

  18. Pan, Y., Guo, J., Chen, Y., Li, S., & Li, W. (2022). Incorporating Traffic Flow Model into a Deep Learning Method for Traffic State Estimation: A Hybrid Stepwise Modeling Framework. Journal of Advanced Transportation, 2022.

  19. Pan, Y., Guo, J., Chen, Y., & Xie, J. (2022). Analysis of Urban Expressway Traffic Flow Characteristics Based on Traffic Flow Model: A Case Study of Beijing and Los Angeles. Science Technology & Engineering, 22(36), 16238–16245.

  20. Chen, Y., Li, S., Pan, Y., & Zhang, J. (2022). Urban Expressway Congestion Forewarning Based on Slope Change of Traffic Flow Fundamental Diagram. Journal of Transportation Engineering, Part A: Systems, 148(6), 04022030.

  21. Chen, Y., Zhao, H., Pan, Y., & Li, S. (2022). Research on Signal Timing Optimization Model Considering Stopping Emissions Based on VISSIM Simulation. In CICTP 2022, 590–600.

  22. Shi, J., Xie, J., Pan, Y., & Li, Y. (2022). Mixed Traffic Flow Simulation Analysis Considering Manual-Automatic Driving on Single Lane Road. Science Technology & Engineering, 22(28), 12651–12658.

  23. Tong, L., Pan, Y.*, Shang, P., Guo, J., Xian, K., & Zhou, X. (2019). Open-Source Public Transportation Mobility Simulation Engine DTALite-S: A Discretized Space-Time Network-Based Modeling Framework for Bridging Multi-Agent Simulation and Optimization. Urban Rail Transit, 5.

  24. Pan, Y., Shi, J., & Shi, Z. (2017). Progress and Prospect of Research on Autonomous Vehicle. Science Discovery, 5(5), 385–389.