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
Research Keywords
These keywords and phrases come from the publications and other research output of this person. See other researchers related to these topics by clicking on any keyword.
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