
Research Summary
Hu’s research focuses on smart mobility systems, investigating how technology can be used to create safer and more efficient ways to travel, especially when behind the wheel. As a doctoral student at the University of Arizona, Hu helped to create Metropia, Inc., a start-up company that uses artificial intelligence and other emerging technologies to help manage traffic congestion and improve transit accessibility.
In the News
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Recent Publications
Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach
Cheng, Y., Hu, X., Chen, K., Yu, X. & Luo, Y., 2023, In: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. 27, 3, p. 396-410 15 p.Research output: Contribution to journal › Article › peer-review
Analysis of spatial interactions among shared e-scooters, shared bikes, and public transit
Lu, M., Traut, E. J., Ilgin Guler, S. & Hu, X., 2023, (Accepted/In press) In: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations.Research output: Contribution to journal › Article › peer-review
Learning electric vehicle driver range anxiety with an initial state of charge-oriented gradient boosting approach
Song, Y. & Hu, X., 2023, In: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. 27, 2, p. 238-256 19 p.Research output: Contribution to journal › Article › peer-review
Consensus enhancement for multi-agent systems with rotating-segmentation perception
Xie, G., Xu, H., Li, Y., Hu, X. & Wang, C. D., Mar 2023, In: Applied Intelligence. 53, 5, p. 5750-5765 16 p.Research output: Contribution to journal › Article › peer-review
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
Liu, G., Jin, H., Li, J., Hu, X. & Li, J., Oct 2022, In: Accident Analysis and Prevention. 176, 106796.Research output: Contribution to journal › Article › peer-review
Fan-Shaped Model for Generating the Anisotropic Catchment Area of Subway Stations Based on Feeder Taxi Trips
Liu, S., Deng, Y., Hu, X., Zhou, J. & Chen, J., 2022, (Accepted/In press) In: Transportation Research Record.Research output: Contribution to journal › Article › peer-review
Intersection traffic deadlock formation and its probability: A petri net-based modeling approach
Qi, H. S., Yu, Y., Tang, Q. & Hu, X. B., Oct 2022, In: IET Intelligent Transport Systems. 16, 10, p. 1342-1363 22 p.Research output: Contribution to journal › Article › peer-review
Online inference of lane changing events for connected and automated vehicle applications with analytical logistic diffusion stochastic differential equation
Qi, H., Chen, C., Hu, X. & Zhang, J., Nov 2022, In: Transportation Research Part C: Emerging Technologies. 144, 103874.Research output: Contribution to journal › Article › peer-review
Analytical approximation and calibration of roundabout capacity: A merging state transition-based modeling approach
Song, Y., Hu, X., Lu, J. & Zhou, X., Sep 2022, In: Transportation Research Part B: Methodological. 163, p. 232-257 26 p.Research output: Contribution to journal › Article › peer-review
An Efficient and Explainable Ensemble Learning Model for Asphalt Pavement Condition Prediction Based on LTPP Dataset
Song, Y., Wang, Y. D., Hu, X. & Liu, J., Nov 1 2022, In: IEEE Transactions on Intelligent Transportation Systems. 23, 11, p. 22084-22093 10 p.Research output: Contribution to journal › Article › peer-review
A multi-state merging based analytical model for an operation design domain of autonomous vehicles in work zones on two-lane highways
Tang, Q. & Hu, X., 2022, (Accepted/In press) In: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations.Research output: Contribution to journal › Article › peer-review
Fast distributed consensus seeking in large-scale and high-density multi-agent systems with connectivity maintenance
Xie, G., Xu, H., Li, Y., Hu, X. & Wang, C. D., Aug 2022, In: Information Sciences. 608, p. 1010-1028 19 p.Research output: Contribution to journal › Article › peer-review
Spatiotemporal analysis of urban road congestion during and post COVID-19 pandemic in Shanghai, China
Xu, P., Li, W., Hu, X., Wu, H. & Li, J., Mar 2022, In: Transportation Research Interdisciplinary Perspectives. 13, 100555.Research output: Contribution to journal › Article › peer-review
Enhancing Mixed Traffic Flow Safety via Connected and Autonomous Vehicle Trajectory Planning with a Reinforcement Learning Approach
Cheng, Y., Chen, C., Hu, X., Chen, K., Tang, Q. & Song, Y., 2021, In: Journal of Advanced Transportation. 2021, 6117890.Research output: Contribution to journal › Article › peer-review
Exploring spatial-temporal heterogeneity of free-floating bike-sharing system: A case study of Xi’an, China
Deng, Y., Cao, Y. & Hu, X., Nov 2021, In: Advances in Transportation Studies. 55, p. 69-86 18 p.Research output: Contribution to journal › Article › peer-review