Publications

1. 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. DOI Link

2. 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. DOI Link

3. 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. DOI Link

4. 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. DOI Link

5. 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. DOI Link

6. 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. DOI Link

7. 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. DOI Link

8. 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. DOI Link

9. 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. DOI Link

10. 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. DOI Link

11. 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. DOI Link

12. 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. 2022, 22(36): 16238-16245. DOI Link

13. 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. DOI Link

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

15. 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. 2022, 22(28): 12651-12658. DOI Link

16. 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, 1-16. DOI Link