Projects
Projects
Current Projects
Evaluating Multimodal Large Language Models for Scenario Understanding and Decision-Making in Autonomous Driving, ODU PURS, 05/2025 – 05/2026. Role: Sole-PI.
Design and Development of a Cyberattack Testbed for Traffic Impact Assessment and Mitigation Strategies in Connected and Automated Vehicles , ODU CEEVC, 05/2025 – 05/2026. Role: PI.
Previous Projects (as Student/Postdoc)
SCC-IRG Track 1: Fostering Smart and Sustainable Travel through Engaged Communities using Integrated Multidimensional Information-Based Solutions. NSF. 2023-2024.
Systematic Documentation for Autonomous Maintenance Technology Promotion and Deployment. Colorado Department of Transportation. 2020-2022.
Optimization of Transportation Infrastructure System Performance with Autonomous Maintenance Technology in Work Zones. US Department of Transportation through Mid-America Transportation Center. 2020-2021.
Development of ATMA/AIPV Deployment Guidelines Considering Traffic and Safety Impacts. Colorado Department of Transportation. 2019-2022.
Development of ATMA/AIPV Deployment Guidelines Considering Traffic and Safety Impacts. US Department of Transportation through Mid-America Transportation Center. 2020-2021.
Analyzing the Impact of Autonomous Maintenance Technology to Transportation Infrastructure Capacity for Condition Monitoring and Performance Management. US Department of Transportation through National Center for Transportation Infrastructure Durability and Life Extension. 2019-2021.
Missouri DOT Leader-Follower TMA System. Missouri Department of Transportation. 2018-2020.
Development of Autonomous Trucks Operation Guidelines and Driver Training Process. US Department of Transportation through Mid-America Transportation Center. 2018-2020.
Refereed Journal Papers
Tang, Q., Hu, X. (2025). Analytical Formulation of Autonomous Vehicle Freeway Merging Control with Varying Effective Discharge Rates. IEEE Transactions on Intelligent Transportation Systems. (Accepted)
Tang, Q., Chenxi C., Hu, X. (2025). Optimizing Maintenance Routes for Highway Infrastructure Using Leader-Follower Autonomous Vehicles. Automotive Innovation. (Accepted)
Chen, C., Tang, Q., Hu, X., Huang, Z. (2023). Infrastructure Sensor-based Cooperative Perception for Early Stage Connected and Automated Vehicle Deployment. Journal of Intelligent Transportation Systems, DOI: 10.1080/15472450.2023.2257596.
Chen, C., Hu, X., Li, Y., & Tang, Q. (2023). Optimization of Privacy Budget Allocation in Differential Privacy-Based Public Transit Trajectory Data Publishing for Smart Mobility Applications. IEEE Transactions on Intelligent Transportation Systems.
Tang, Q., & Hu, X. (2022). A multi-state merging based analytical model for an operation design domain of autonomous vehicles in work zones on two-lane highways. Journal of Intelligent Transportation Systems, 1-14.
Tang, Q., Hu, X., & Yang, H. (2022). Identification of Operational Design Domain for Autonomous Truck Mounted Attenuator System on Multilane Highways. Transportation Research Record, 2676(12), 1-15.
Tang, Q., Hu, X., & Qin, R. (2022). Development of Operation Guidelines for Leader–Follower Autonomous Maintenance Vehicles at Work Zone Locations. Transportation research record, 2676(3), 696-711.
Qi, H., Yu, Y., Tang, Q., & Hu, X. (2022). Intersection traffic deadlock formation and its probability: A petri net‐based modeling approach. IET Intelligent Transport Systems, 16(10), 1342-1363.
Tang, Q., Hu, X., Lu, J., & Zhou, X. (2021). Analytical characterization of multi-state effective discharge rates for bus-only lane conversion scheduling problem. Transportation Research Part B: Methodological, 148, 106-131.
Tang, Q., Cheng, Y., Hu, X., Chen, C., Song, Y., & Qin, R. (2021). Evaluation methodology of leader-follower autonomous vehicle system for work zone maintenance. Transportation Research Record, 2675(5), 107-119.
Cheng, Y., Chen, C., Hu, X., Chen, K., Tang, Q., & Song, Y. (2021). Enhancing mixed traffic flow safety via connected and autonomous vehicle trajectory planning with a reinforcement learning approach. Journal of Advanced Transportation, 2021, 1-11.
Tang, Q., & Hu, X. (2020). Modeling individual travel time with back propagation neural network approach for advanced traveler information systems. Journal of Transportation Engineering, Part A: Systems, 146(6), 04020039.
Tang, Q., Hu, X., & Qi, H. (2020). Modeling routing behavior learning process for vacant taxis in a congested urban traffic network. Journal of Transportation Engineering, Part A: Systems, 146(6), 04020043.
Qi, H., Dai, R., Tang, Q., & Hu, X. (2020). Quasi-real time estimation of turning movement spillover events based on partial connected vehicle data. Transportation Research Part C: Emerging Technologies, 120, 102824.
Deng, Y., Li, M., Tang, Q., He, R., & Hu, X. (2020). Heterogenous trip distance-based route choice behavior analysis using real-world large-scale taxi trajectory data. Journal of Advanced Transportation, 2020, 1-16.
Cheng, Y., Hu, X., Tang, Q., Qi, H., & Yang, H. (2020). Monte Carlo tree search-based mixed traffic flow control algorithm for arterial intersections. Transportation Research Record, 2674(8), 167-178.
Hu, X., Zhu, X., Chiu, Y. C., & Tang, Q. (2020). Will information and incentive affect traveler’s day-to-day departure time decisions? —An empirical study of decision-making evolution process. International Journal of Sustainable Transportation, 14(6), 403-412.
Qi, H., Dai, R., Tang, Q., & Hu, X. (2020). Coordinated intersection signal design for mixed traffic flow of human-driven and connected and autonomous vehicles. IEEE Access, 8, 26067-26084.
Hu, X., Zhu, X., Ma, Y. L., Chiu, Y. C., & Tang, Q. (2019). Advancing usage-based insurance–a contextual driving risk modelling and analysis approach. IET Intelligent Transport Systems, 13(3), 453-460.
Book Chapter
Tang, Q., & Hu, X. (2019). Triggering behavior changes with information and incentives: An active traffic and demand management-oriented review. In Advances in Transport Policy and Planning (Vol. 3, pp. 209-250). Academic Press.
Reports
Hu, X., Tang, Q., Chen, G., (2024). Optimization of Transportation Infrastructure System Performance with Autonomous Maintenance Technology in Work Zones. Final Report, Mid-America Transportation Center. Report No. MATC-MS&T: 128-3.
Hu, X., Tang, Q., Chen, G., (2022). Development of ATMA Deployment Guidelines Considering Traffic and Safety Impacts. Final Report, Mid-America Transportation Center. Report No. MATC-MS&T: 128-2.
Hu, X., Tang, Q., Liu, J., (2022). Analyzing the Impact of Autonomous Maintenance Technology to Transportation Infrastructure Capacity for Condition Monitoring and Performance Management. Final Report, National Center for Transportation Infrastructure Durability & Life-Extension (TriDurLE), Washington State University. Report No. 2020-MST-05
Peer-Reviewed Conference Proceedings
Tang, Q., Chen, C., Hu, X., (2025). Optimizing Maintenance Routes for Highway Infrastructure Using Leader-Follower Autonomous Vehicles. 104th Annual Meeting of Transportation Research Board.
Chen, C., Tang, Q., Hu, X., Huang, Z. (2023). Infrastructure Sensor-based Cooperative Perception for Early Stage Connected and Automated Vehicle Deployment. 102nd Annual Meeting of Transportation Research Board.
Song, Y., Tang, Q., Wang, Y., Hu, X. (2023). A Two-Stage Demand Prediction and Optimization Modeling Framework for Charging Station Location Problem. 102nd Annual Meeting of Transportation Research Board.
Tang, Q., Hu, X., Lu, J., Zhou, X. (2022). Analytical characterization of multi-state effective discharge rates for bus-only lane conversion scheduling problem. Accepted for presentation at Bridging Transportation Researchers (BTR) Conference, Virtual Zoom Event, Aug. 4&5.
Tang, Q., Hu, X. (2022). A Merging Based Multi-State Analytical Model for Operation Design Domain of Autonomous Vehicles in Work Zones on Two-lane Highways. 101st Annual Meeting of Transportation Research Board.
Tang, Q., Hu, X., A. Nylen, T. (2020). Weldon. Usage of Microscopic Traffic Simulation to Quantify Traffic Impact of Autonomous Maintenance Technology. Accepted for presentation at TRB Workshop on Traffic Simulation and CAV Modeling. Nov. 16-18.
Tang, Q., Cheng, Y., Hu, X. (2020). Quantification of Traffic Impact by Leader-Follower Autonomous Truck Mounted Attenuator Vehicle System for Work Zone Maintenance. 99th Annual Meeting of Transportation Research Board.
Tang, Q., Cheng, Y., Hu, X., Chen, C, Yang, S. (2020). Field Testing and Evaluation of Leader-Follower Autonomous Truck Mounted Attenuator Vehicle System for Work Zone Maintenance. 99th Annual Meeting of Transportation Research Board.
Cheng, Y., Tang, Q., Hu, X., Qi, H. (2020). A Model-Free Approach for Connected and Autonomous Vehicles Trajectory Scheduling: Monte Carlo Tree Search-Based Mixed Traffic Flow Control Algorithm. 99th Annual Meeting of Transportation Research Board.
Tang, Q., Hu, X. (2019). Modeling Individual Travel Time with a Back Propagation Neural Network Approach for Advanced Traveler Information Systems. Mobil. TUM, International Scientific Conference on Mobility and Transport.
Tang, Q., Hu X. (2019). Modeling the Provisioning of Individual Travel Time for Advanced Traveler Information Systems. 98th Annual Meeting of Transportation Research Board.