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

Connectivity-preserving rendezvous in discrete-time multi-agent systems via relative neighborhood proximity graph

Xie, G., Zhong, B., Xu, H., Li, Y., Hu, X. & Wang, C. D., Feb 2024, In: Transactions of the Institute of Measurement and Control. 46, 4, p. 771-784 14 p.

Research output: Contribution to journalArticlepeer-review

A machine learning-based approach to assess impacts of autonomous vehicles on pavement roughness

Chen, C., Song, Y., Wang, Y. D., Hu, X. & Liu, J., Sep 4 2023, In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 381, 2254, 20220176.

Research output: Contribution to journalArticlepeer-review

Infrastructure sensor-based cooperative perception for early stage connected and automated vehicle deployment

Chen, C., Tang, Q., Hu, X. & Huang, Z., 2023, (Accepted/In press) In: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations.

Research output: Contribution to journalArticlepeer-review

Optimization of Privacy Budget Allocation In Differential Privacy-Based Public Transit Trajectory Data Publishing for Smart Mobility Applications

Chen, C., Hu, X., Li, Y. & Tang, Q., Dec 1 2023, In: IEEE Transactions on Intelligent Transportation Systems. 24, 12, p. 15158-15168 11 p.

Research output: Contribution to journalArticlepeer-review

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 journalArticlepeer-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 journalArticlepeer-review

Catchment-Area Delineation Approach Considering Travel Purposes for Station-Level Ridership Prediction Task

Ma, C., Cheng, Y., Zhang, S., Chen, K., Wei, J. & Hu, X., 2023, (Accepted/In press) In: Transportation Research Record.

Research output: Contribution to journalArticlepeer-review

Behavioral investigation of stochastic lateral wandering patterns in mixed traffic flow

Qi, H. & Hu, X., Oct 2023, In: Transportation Research Part C: Emerging Technologies. 155, 104310.

Research output: Contribution to journalArticlepeer-review

Deadlock detection, cooperative avoidance and recovery protocol for mixed autonomous vehicles in unstructured environment

Qi, H. S., Song, Y., Huang, Z. T. & Hu, X. B., 2023, (Accepted/In press) In: IET Intelligent Transport Systems.

Research output: Contribution to journalArticlepeer-review

Learning-based demand-supply-coupled charging station location problem for electric vehicle demand management

Song, Y. & Hu, X., Dec 2023, In: Transportation Research Part D: Transport and Environment. 125, 103975.

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., 2023, In: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. 27, 2, p. 238-256 19 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., Mar 2023, In: Applied Intelligence. 53, 5, p. 5750-5765 16 p.

Research output: Contribution to journalArticlepeer-review

Consensus Seeking in Large-Scale Multiagent Systems With Hierarchical Switching-Backbone Topology

Xie, G., Xu, H., Li, Y., Wang, C. D., Zhong, B. & Hu, X., 2023, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems. p. 1-15 15 p.

Research output: Contribution to journalArticlepeer-review

Opposing Hysteresis Patterns in Flow and Outflow Macroscopic Fundamental Diagrams and Their Implications

Xu, G., Zhang, P., Gayah, V. V. & Hu, X., Aug 2023, In: Transportation Research Record. 2677, 8, p. 100-117 18 p.

Research output: Contribution to journalArticlepeer-review

A general metro timetable rescheduling approach for the minimisation of the capacity loss after random line disruption

Zhang, S., Cheng, Y., Chen, K., Ma, C., Wei, J. & Hu, X., 2023, (Accepted/In press) In: Transportmetrica A: Transport Science.

Research output: Contribution to journalArticlepeer-review