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Student Publications

Yang, W., Jafarzadehfadaki, M., Yan, X., Zhao, X., Jin, X., Frolich, D., & Sisiopiku, V. P. (2023). Shared E-Scooter User Characteristics and Usage Patterns across Four US Cities. Transportation Research Record, 03611981231194626.

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.

Xu, N., Lovreglio, R., Kuligowski, E. D., Cova, T. J., Nilsson, D., & Zhao, X. (2023). Predicting and Assessing Wildfire Evacuation Decision-Making Using Machine Learning: Findings from the 2019 Kincade Fire. Fire Technology59(2), 793-825.

Yan, X., Zhao, X., Broaddus, A., Johnson, J., & Srinivasan, S. (2023). Evaluating shared e-scooters’ potential to enhance public transit and reduce driving. Transportation research part D: transport and environment117, 103640.

Zhao, X., Yan, X. J., Kaza, N., Kitner, N., McDonald, N., Jin, X., … & Broaddus, A. (2023). Mobility-on-Demand Transit for Smart and Sustainable Cities (No. STRIDE Project D4). Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE).

Wang, C., Liu, Y., Zhang, X., Li, X., Paramygin, V., Subgranon, A., … & Xu, S. (2023, November). Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery. In Proceedings of the 8th ACM SIGSPATIAL International Workshop on Security Response using GIS (pp. 7-12).

Su, L., Yan, X., & Zhao, X. (2024). Spatial equity of micromobility systems: A comparison of shared E-scooters and docked bikeshare in Washington DC. Transport policy145, 25-36.

Arshad, H., Emblemsvåg, J., & Zhao, X. (2024). A data-driven, scenario-based human evacuation model for passenger ships addressing hybrid uncertainty. International Journal of Disaster Risk Reduction100, 104213.

Zhang, X., Zhou, Z., Xu, Y., & Zhao, X. (2024). Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning. Journal of Transport Geography114, 103782.

Sun, Y., Zhao, X., Lovreglio, R., & Kuligowski, E. (2024). AI for large-scale evacuation modeling: promises and challenges. Interpretable Machine Learning for the Analysis Design Assessment and Informed Decision Making for Civil Infrastructure, 185-204.

Lovreglio, R., Paes, D., Feng, Z., & Zhao, X. (2024). Digital Technologies for Fire Evacuations. In Intelligent Building Fire Safety and Smart Firefighting (pp. 439-454). Cham: Springer Nature Switzerland.

Forrister, A., Kuligowski, E. D., Sun, Y., Yan, X., Lovreglio, R., Cova, T. J., & Zhao, X. (2024). Analyzing Risk Perception, Evacuation Decision and Delay Time: A Case Study of the 2021 Marshall Fire in Colorado. Travel Behaviour and Society35, 100729.

Liang, Y., Yu, B., Zhang, X., Lu, Y., & Yang, L. (2023). The short-term impact of congestion taxes on ridesourcing demand and traffic congestion: Evidence from Chicago. Transportation research part A: policy and practice172, 103661.

Yin, Z., Rybarczyk, G., Zheng, A., Su, L., Sun, B. Yan, X. (2024). Shared micromobility as a first- and last-mile transit solution? Spatiotemporal insights from a novel dataset. Journal of Transport Geography. https://doi.org/10.1016/j.jtrangeo.2023.103778

Huang, E., Yin, Z., Broaddus, A., Yan, X. (2024). Transit and shared e-scooter integration: Travel behavior insights from Los Angeles and Washington D.C.. Travel Behavior and Society, 34, 100663. https://doi.org/10.1016/j.tbs.2023.100663

Bejleri, I., Xu, X., Silva, K. R., & Srinivasan, S. (2024). Safety performance analysis of horizontal curves in urban areas. Accident Analysis & Prevention, 195, 107402. https://doi.org/10.1016/j.aap.2023.107402

Xu, X., Bejleri, I., Rodrigues Silva, K., & Srinivasan, S. (2024). Effects of Intersections on the Safety of Horizontal Curves. Transportation Research Record, 0(0). https://doi.org/10.1177/03611981231216975

Yan, X., Zhao, X., Broaddus, A., Johnson, J., & Srinivasan, S. (2023). Evaluating shared e-scooters’ potential to enhance public transit and reduce driving. Transportation Research Part D: Transport and Environment, 117, 103640. https://doi.org/10.1016/j.trd.2023.103640

Carrick, G., & Srinivasan, S. (2023). Characterizing Incident Responder Crashes Involving Move Over Law Violations. Transportation Research Record, 2677(2), 741-752. https://doi.org/10.1177/03611981221108385

Patni, S., Srinivasan, S. S., & Suárez, J. (2023). The impact of COVID-19 on route-level changes in transit demand an analysis of five transit agencies in Florida, USA. Transportation Research Part A: Policy and Practice, 167, 103554. https://doi.org/10.1016/j.tra.2022.11.014

Marzieh Khakifirooz, Michel Fathi, Lili Du, Reliability Assessment of Vehicle-to-Vehicle Communication Networks through Headway Distribution and Information Propagation Delay, Transportation Research Interdisciplinary Perspectives, Volume 24, 2024, 101053, ISSN 2590-1982, https://doi.org/10.1016/j.trip.2024.101053.

H. Yang, W. Yu, G. Zhang and L. Du, “Network-Wide Traffic Flow Dynamics Prediction Leveraging Macroscopic Traffic Flow Model and Deep Neural Networks,” in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3329489.

W. Peng and L. Du, “A Novel Real-Time Coordinated Ridesharing Route Choice Mechanism,” in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3327941.

Kaitai Yang, Hanyi Yang & Lili Du (2023) A data-driven traffic shockwave speed detection approach based on vehicle trajectories data, Journal of Intelligent Transportation Systems, DOI: 10.1080/15472450.2023.2270415

Jiahua Qiu, Lili Du (2023). Cooperative Trajectory Control for Synchronizing the Movement of Two Connected and Autonomous Vehicles Separated in a Mixed Traffic Flow. Transportation Research Part B: Methodological, 174, 102769.

Ala Alobeidyeen, Hanyi Yang and Lili Du (2023). Information Dissemination Dynamics through Vehicle-to-Vehicle Communication Built Upon Traffic Flow Dynamics over Roadway Networks. Vehicular Communications, 100598.

Hanyu Zhang, Lili Du (2023) Platoon-Centered Control for Eco-driving at Signalized Intersection Built upon Hybrid MPC System, Online Learning and Distributed Optimization Part I: Modeling and Solution Algorithm Design. Transportation Research Part B: Methodological, 172, 174-198.

Hanyu Zhang, Lili Du (2023) Platoon-Centered Control for Eco-driving at Signalized Intersection Built upon Hybrid MPC System, Online Learning and Distributed Optimization Part II: Theoretical Analysis. Transportation Research Part B: Methodological, 172, 199-216.

Hanyi Yang, Du, Lili, Guohui Zhang, Tianwei Ma (2023). A Traffic Flow Dependency and Dynamics based Deep Learning Aided Approach for Network-Wide Traffic Speed Propagation Prediction. Transportation Research Part B: Methodological, 167, 99-117.

Yuqiang Ning, Lili Du (2023). Robust and resilient equilibrium routing mechanism for traffic congestion mitigation built upon correlated equilibrium and distributed optimization. Transportation research part B: methodological, 168, 170-205.

Jiahua Qiu, Lili Du (2023). Optimal dispatching of electric vehicles for providing charging on-demand service leveraging charging-on-the-move technology. Transportation Research Part C: Emerging Technologies, 146, 103968.

Haiyan Hao, Yan Wang, Lili Du, Shigang Chen (2023). Enabling smart curb management with spatiotemporal deep learning. Computers, Environment and Urban Systems, 99, 101914.

CONFERENCE PAPERS

Mukundhan Narasimhan, Lili Du, Scott Washburn. Sequential Truck Platoon Formation in Mixed Traffic using multiple Spring Mass Damper Systems. 2024 American Control Conference, Toronto, ON, Canada,  July 10-12, 2024.

Jiahua Qiu, Lili Du, Qichao Wang. Integrated Vehicle Routing and Battery Redistribution Plans for Mobile Battery Swapping Service: Leveraging MPC and Deep Reinforcement Learning, TRB annual meeting 2024, Washington DC, January 8–12.

Hanyi Yang, Lili Du, Guohui Zhang. A Model-based Reinforcement Learning Method for Energy Consumption Oriented Optimal Variable Speed Limit Control on Freeway Corridor. TRB annual meeting, Washington DC, January 8–12, 2024.

Zihang Wei, Yang Zhou, Lili Du, Yunlong Zhang. Discover Physically Analyzable Governing Nonlinearities of Traffic Network Flow Dynamics Via Neural Networks. TRB annual meeting, Washington DC, January 8–12, 2024.

Yuqiang Ning,  Lili Du. A Dynamic Coordinated Joint Routing and En-Route Charging Mechanism for Traffic Congestion Mitigation. TRB annual meeting, Washington DC, January 8–12, 2024.

Chen Mu, Hanyu Zhang, Lili Du, Yisheng An. Systematical Trajectory Planning for Cooperative Merging at Multilane On-ramp Intersection, The 23rd COTA International Conference of Transportation Professionals, Beijing, China, July 14-17, 2023, pp 1-11.

ChenLu Pu, Lili Du. A Real-time Shockwave Detection Approach Based on Vehicle Trajectory Data. Transportation Research Board 102nd Annual meeting, January 8–12, 2023, pp. 1-19.

Hanyi Yang, Wanxin Yu, Guohui Zhang, Lili Du, Yiwei Wang, Tianwei Ma, A Network-wise Traffic State Evolution Prediction Approach Based on Road Network Topology Informed Deep Learning Model. Transportation Research Board 102nd Annual Meeting, January 8–12, 2023, pp. 1-20

De Andrade, G., K. Silva, S. Srinivasan, L. Elefteriadou, “Investigation of the impact of traffic operations variables on crash severity on expressways” presented at the Annual Transportation Research Board Meeting, January 2024.

Guerra, A., R. Favero, L. Elefteriadou, “Quantifying the Traffic Impact of Autonomous Shuttles on Signalized Arterials:  A Microsimulation Study” presented at the Annual Transportation Research Board Meeting, January 2024.

Ishtiak Ahmed, Z. Wu, E. Amini, N. Rouphail, B. Cesme, L. Elefteriadou, B. Schroeder, “Speed and Capacity Analysis Framework for Complex Freeway Weaving Segments” Presented at the Annual Transportation Research Board Meeting, January 2023

Hajbabaie, A., A. Farabi, R. Mohebifard, R. Niroumand, M. Hadi, L. Elefteriadou “Integrated Corridor Management by Cooperative Traffic Signal and Ramp Metering Control” Presented at the Annual Transportation Research Board Meeting, January 2023