Xianbiao Hu

Affiliate Researcher
Titles and Affiliations
Assistant Professor, Civil and Environmental Engineering

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

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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., 2022, (Accepted/In press) In: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations.

Research output: Contribution to journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-review

Consensus enhancement for multi-agent systems with rotating-segmentation perception

Xie, G., Xu, H., Li, Y., Hu, X. & Wang, C. D., 2022, (Accepted/In press) In: Applied Intelligence.

Research output: Contribution to journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-review

A hybrid approach for examining the drivers of energy consumption in Shanghai

Luo, Y., Zeng, W., Wang, Y., Li, D., Hu, X. & Zhang, H., Nov 2021, In: Renewable and Sustainable Energy Reviews. 151, 111571.

Research output: Contribution to journalArticlepeer-review

Coupling the driving forces of urban CO2 emission in Shanghai with logarithmic mean Divisia index method and Granger causality inference

Luo, Y., Zeng, W., Hu, X., Yang, H. & Shao, L., May 20 2021, In: Journal of Cleaner Production. 298, 126843.

Research output: Contribution to journalArticlepeer-review

Examining municipal guidelines for users of shared E-Scooters in the United States

Ma, Q., Yang, H., Ma, Y., Yang, D., Hu, X. & Xie, K., Mar 2021, In: Transportation Research Part D: Transport and Environment. 92, 102710.

Research output: Contribution to journalArticlepeer-review

Learning electric vehicle driver range anxiety with an initial state of charge-oriented gradient boosting approach

Song, Y. & Hu, X., 2021, (Accepted/In press) In: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations.

Research output: Contribution to journalArticlepeer-review

Analytical characterization of multi-state effective discharge rates for bus-only lane conversion scheduling problem

Tang, Q., Hu, X., Lu, J. & Zhou, X., Jun 2021, In: Transportation Research Part B: Methodological. 148, p. 106-131 26 p.

Research output: Contribution to journalArticlepeer-review

Analysis of electric vehicle charging behavior patterns with function principal component analysis approach

Chen, C., Song, Y., Hu, X. & Guardiola, I. G., 2020, In: Journal of Advanced Transportation. 2020, 8850654.

Research output: Contribution to journalArticlepeer-review