Yiming Xu

Yiming Xu

Postdoc at UT Austin, Ph.D. from UF. Research in Transportation and AI.

Publications

Publications [Google Scholar]

Peer-Reviewed Journal Papers

(*Indicates corresponding author)

First-Authored and Corresponding-Authored Publications

  1. Xu, Y.*, Ke, Q., Zhang, X., Zhao, X. (2025). ICN: Interactive Convolutional Network for Forecasting Travel Demand of Shared Micromobility. GeoInformatica.
  2. Chio, S., Xu, Y.*, Jiao, J. (2025). Utility or Equity? A Critical Analysis of Existing Public Electric Vehicle Charger Allocations in Austin, Texas. Transportation Research Part D: Transport and Environment.
  3. Xu, N., Xu, Y.*, Liu, J., Jiao, J. (2025). How Do EV Crashes Differ from ICEV Crashes: A Comparative Study of Pennsylvania. Journal of Safety Research.
  4. Jiao, J., Xu, Y.*, Li, Y. (2024). Exploring Spatial Heterogeneity of E-scooter’s Relationship with Ridesourcing using Explainable Machine Learning. Transportation Research Part D: Transport and Environment.
  5. Jiao, J., Xu, Y.* (2024). Analyzing Shared E-Scooter Trip Frequency on Urban Road Segments in Austin, TX. Case Studies on Transport Policy.
  6. Xu, Y., Zhao, X.*, Zhang, X., Paliwal, M. (2023). Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach. IEEE Transactions on Intelligent Transportation Systems.
  7. Xu, Y., Zhao, X.*, Lovreglio, R., Kuligowski, E., Nilsson, D., Cova, T. J., Yan, X. (2022). A Highway Vehicle Routing Dataset During the 2019 Kincade Fire Evacuation. Scientific data.
  8. Xu, Y., Yan, X., Sisiopiku, V., Merlin, L., Xing, F., Zhao, X.* (2022). Micromobility Trip Origin and Destination Inference Using General Bikeshare Feed Specification Data. Transportation Research Record.
  9. Xu, Y., Yan, X., Liu, X., Zhao, X.* (2021). Identifying Key Factors Associated with Ridesplitting Adoption Rate and Modeling Their Nonlinear Relationships. Transportation Research Part A: Policy and Practice.
  10. Xu, Y., Ma, Z., Sun, J.* (2019). Simulation of Turning Vehicles’ Behaviors at Mixed-Flow Intersections Based on Potential Field Theory. Transportmetrica B: Transport Dynamics.
  11. Xu, Y., Zou, Y., Sun, J.* (2018). Accelerated Testing for Automated Vehicles Safety Evaluation in Cut-In Scenarios Based on Importance Sampling, Genetic Algorithm and Simulation Applications. Journal of Intelligent and Connected Vehicles.

Co-Authored Publications

  1. Wang, H., Davis, W., Xu, Y., Yu, J., Mai, G., Jiao, J.*, (2025). Street Semantic Tree: A Knowledge-driven GeoAI Framework for Urban E-scooter Ridership Classification. International Journal of Geographical Information Science.
  2. Jiao, J., Afroogh, S.*, Xu, Y., Phillips, C. (2025). Navigating LLM Ethics: Advancements, Confrontations, and Future Trajectories. AI and Ethics.
  3. Wang, T., He, C., Li, H., Li, Y., Xu, Y., Wang, Y., Jiao, J. (2025). HLCG: A Hierarchical Lane-Changing Gaming Decision Model for Heterogeneous Traffic Flow on Two-Lane Highways. Transportation Research Record.
  4. Zhang, X., Zhao, X., Xu, Y., Lovreglio, R.*, Nilsson, D. (2024). Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires. Transportation Research Part A: Policy and Practice.
  5. Zhang, X.*, Zhou, Z., Xu, Y., Zhao, X. (2024). Analyzing Spatial Heterogeneity of Ridesourcing Demand Determinants Using Explainable Machine Learning. Journal of Transport Geography.
  6. Jiang, S., Sun, Y., Wong, W.*, Xu, Y., Zhao, X. (2024). Real-Time Urban Traffic Monitoring Using Transit Buses as Probes. Transportation Research Record.
  7. Zhao, X.*, Xu, Y., Lovreglio, R., Kuligowski, E., Nilsson, D., Cova, T. J., Wu, A., Yan, X. (2022). Estimating Wildfire Evacuation Decision and Departure Timing Using Large-Scale GPS Data. Transportation Research Part D: Transport and Environment.
  8. Wu, A., Yan, X.*, Kuligowski, E., Lovreglio, R., Nilsson, D., Cova, T. J., Xu, Y., Zhao, X. (2022). Wildfire Evacuation Decision Modeling Using GPS Data. International Journal of Disaster Risk Reduction.
  9. Merlin, L.*, Yan, X., Xu, Y., Zhao, X. (2021). A Segment-Level Model of Shared, Electric Scooter Origins and Destinations. Transportation Research Part D: Transport and Environment.
  10. Qi, X., Ni, Y., Xu, Y., Tian, Y., Wang, J., Sun, J.* (2021). Autonomous Vehicles’ Car-Following Drivability Evaluation Based on Driving Behavior Spectrum Reference Model. Transportation Research Record.
  11. Yan, X., Yang, W., Zhang, X., Xu, Y., Bejleri, I., Zhao, X.* (2021). A Spatiotemporal Analysis of E-Scooters’ Relationships with Transit and Station-Based Bikeshare. Transportation research part D: transport and environment.
  12. Sun, J.*, Qi, X., Xu, Y., Tian, Y. (2019). Vehicle Turning Behavior Modeling at Conflicting Areas of Mixed-Flow Intersections Based on Deep Learning. IEEE Transactions on Intelligent Transportation Systems.
  13. Ma, Z., Xie, J., Qi, X., Xu, Y., Sun, J.* (2017). Two‐Dimensional Simulation of Turning Behavior in Potential Conflict area of Mixed‐Flow Intersections. Computer‐Aided Civil and Infrastructure Engineering.

Manuscripts Under Review or Revision

  1. Xu, Y.*, Jiao, J. (2025). Evaluating Retrieval-Augmented Generation Strategies for Large Language Models in Travel Mode Choice Prediction. Under review. Preprint at arXiv:2508.17527.
  2. Xu, Y.*, Jiao, J. (2025). Exploring Autonomous Vehicle Crash Severity Using Interpretable Machine Learning and Large Language Models. Under review.
  3. Xu, Y.*, Jiao, J., Chen, Y. (2025). An Augmented Dataset of Autonomous Vehicle Collisions in California. Under review.
  4. Xu, Y.*, Jiao, J., Wang, H. (2025). From Data to Decisions: An Urban Digital Twin Framework for Sustainable and Proactive Urban Management. Under review. Preprint at SSRN 4958614.
  5. Wang, H.*, Jiao, J., Xu, Y. (2025). Street Function Representation Learning on Long-Term Traffic Flow Prediction. Under review.
  6. Jiao, J., Park, J., Xu, Y.*, Sussman, K., Atkinson, L. (2025). SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidance. Under review. Preprint at arXiv:2505.02306.

Peer-Reviewed Conference

  1. Xu, Y., Jiao, J. (2026). Evaluating Retrieval-Augmented Generation Strategies for Large Language Models in Travel Mode Choice Prediction. Transportation Research Board 105th Annual Meeting, Washington, D.C. (Accepted)
  2. Xu, Y., Jiao, J., Deng, C. (2026). Analyzing Factors Associated with Autonomous Vehicle Crash Severity Using Interpretable Machine Learning. Transportation Research Board 105th Annual Meeting, Washington, D.C. (Accepted)
  3. Lewis, S., Jiao, J., Xu, Y., Park, J., Phillips, C. (2026). A Decentralized Digital Twin via Crowdsourced Sensing and Browser-Based Edge Computation. AAAI 2026 Deployable AI Workshop, Singapore. (Accepted)
  4. Xu, Y., Park, J., Jiao, J. (2025). LLM-Powered Digital Twins for Interactive Urban Mobility Simulation: Integrating SUMO with AI Agents. NeurIPS 2025 UrbanAI Workshop, San Diego, CA. (Accepted)
  5. Jiao, J., Lewis, S., Xu, Y., Park, J., Phillips, C. (2025). OpenCityCorpus: A Large-Scale, Harmonized, and LLM-Ready Corpus of Urban Data for Scientific Research. NeurIPS 2025 AI for Science Workshop, San Diego, CA. (Accepted)
  6. Lewis, S., Jiao, J., Xu, Y., Park, J., Phillips, C. (2025). From Walled Gardens to Open Streets: A Pipeline for Cross-City Data Harmonization. NeurIPS 2025 UrbanAI Workshop, San Diego, CA. (Accepted)
  7. Xu, Y., Jiao, J. (2025). Assessing the Effects of Built Environment and Demographics on E-Scooter and E-Bike Usage on City Streets: A Case Study of Austin, TX. Transportation Research Board 104th Annual Meeting, Washington, D.C.
  8. Xu, Y., Jiao, J., Wang, H. (2025). An Urban Digital Twin Framework for Sustainable Transportation and Smart Cities: A Case Study of Austin, TX. Transportation Research Board 104th Annual Meeting, Washington, D.C.
  9. Xu, Y., Jiao, J., Li, Y. (2025). Exploring Spatial Heterogeneity of E-scooter’s Relationship with Ridesourcing using Explainable Machine Learning. Transportation Research Board 104th Annual Meeting, Washington, D.C.
  10. Xu, N., Xu, Y., Liu, J., Jiao, J. (2025). How Do EV Crashes Differ from ICEV Crashes: A Comparative Study of Pennsylvania. Transportation Research Board 104th Annual Meeting, Washington, D.C.
  11. Wang, H., Jiao, J., Xu, Y. (2025). Street Function Representation Learning on Long-Term Traffic Flow Prediction. Transportation Research Board 104th Annual Meeting, Washington, D.C.
  12. Wang, H., Davis, W., Jiao, J., Xu, Y. (2025). Urban E-scooter Usage Prediction Based on Semantic Descriptions: A Knowledge-Driven AI. Transportation Research Board 104th Annual Meeting, Washington, D.C.
  13. Wang, T., Guo, Q., He, C., Li, H., Xu, Y., Wang, Y., Jiao, J. (2025). Impact of Connected and Automated Vehicles on Longitudinal and Lateral Performance of Heterogeneous Traffic Flow in Shared Autonomy on Two-Lane Highways. WCX SAE World Congress Experience, Detroit, MI
  14. Chio, S., Xu, Y., Jiao, J. (2024). Utility or Equity? A Critical Analysis of Existing Public Electric Vehicle Charger Allocations in Austin, Texas. Association of Collegiate Schools of Planning Annual Conference, Seattle, WA
  15. Jiang, S., Xu, Y., Wai, W., Zhao, X. (2024). Real-Time Urban Traffic Monitoring Using Transit Buses as Probes. Transportation Research Board 103rd Annual Meeting, Washington D.C.
  16. Xu, Y., Ke, Q., Zhao, X. (2023). ICN: Interactive Convolutional Network for Forecasting Travel Demand of Shared Micromobility. Transportation Research Board 102nd Annual Meeting, Washington, D.C.
  17. Xu, Y., Xiong, R., Lovreglio, R., Nilsson, D., Zhao, X. (2023). Forecasting Real-Time Travel Demand During Wildfire Evacuations: A Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) Approach. Transportation Research Board 102nd Annual Meeting, Washington, D.C.
  18. Xu, Y., Paliwal, M., Zhao, X. (2022) Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Context-Aware Spatio-Temporal Multi-Graph Convolutional Network Approach. Transportation Research Board 101st Annual Meeting, Washington, D.C.
  19. Zhao, X., Xu, Y., Lovreglio, R., Kuligowski, E., Nilsson, D., Cova, T. J., Wu, A., Yan, X. (2022) Estimating Wildfire Evacuation Decision and Departure Timing Using Massive GPS Data. Transportation Research Board 101st Annual Meeting, Washington, D.C.
  20. Xu, Y., Yan, X., Sisiopiku, V., Merlin, L., Xing, F., Zhao, X. (2021). Micromobility Trip Origin and Destination Inference Using General Bikeshare Feed Specification (GBFS) Data. Transportation Research Board 100th Annual Meeting, Washington, D.C.
  21. Qi, X., Ni, Y., Xu, Y., Tian, Y., Wang, J., Sun, J. (2021). Autonomous Vehicles’ Car-Following Drivability Evaluation Based on Driving Behavior Spectrum Reference Model. Transportation Research Board 100th Annual Meeting, Washington, D.C.
  22. Chen, D., Xu, Y., Sun, J. (2019). Vehicle Cooperation Around Lane-Changing. Transportation Research Board 98th Annual Meeting, Washington, D.C.

Patents

  1. Sun, J., Xu, Y., Yu, R. A Road-Virtual Parallel Testing Scheme for Autonomous Vehicles. China Patent No.201810417326.2, issued October 2018.
  2. Sun, J., Xu, Y., Ye, Y. A Scenario Regeneration and Accelerated Test Method for Autonomous Vehicles. China Patent No.201710568536.7, issued October 2017.

Other Publications

  1. Jiao, J., Xu, Y. (2024). Scooter-Share Travel Demand Forecast: A Context-Aware LSTM Recurrent Neural Network Approach. Project Report, USDOT Tier 1 UTC: Cooperative Mobility for Competitive Megaregions.
  2. Jiao, J., Xu, Y. (2024). Digital Twin as Catalyst for Sustainable and Smart City. Project Report, USDOT Tier 1 UTC: Center for Climate-Smart Transportation.
  3. Zhao, X., Sisiopiku, V., Steiner, R., Xu, Y., Liu, Y., Yan, D., Khalil, J., Yang, W., Jafarzadehfadaki, M., Suarez, J. (2022). Micromobility as a Solution To Reduce Urban Traffic Congestion. Project Report, USDOT Regional UTC: Southeastern Transportation Research, Innovation, Development and Education Center.
  4. Xu, Y. (2025). AI in Urban Infrastructure and Utilities. Book Chapter, Smart Cities with AI. Under Review.