Hao Xu

Associate Professor
Hao Xu

Prospective graduate students

Dr. Xu has research assistant scholarships for new Ph.D. students. The positions will be involved in the following research topics:

  1. Big data analysis of traffic crashes and intelligent transportation real-time sensor data
  2. Automatic traffic data survey system with videos and 360-degree LIDAR sensors
  3. Data analysis of latest driver behavior and vehicle sensor data from U.S. Federal Highway Administration
  4. Traffic crash prediction modeling

Learn more about our graduate programs 

Research interests

  • Collection and analysis of roadside LiDAR data
  • Vehicle operation cost evaluation
  • Driving behavior analysis with naturalistic driving study data
  • Intelligent transportation systems including connected vehicles
  • Data-driven traffic safety analysis

Grants received

  • PI, Pilot Deployment of Roadside LiDAR in City of Henderson NV, Regional Transportation Commission of Southern Nevada, $86,071, 2018 - 2019
  • PI, Proof-of-Concept Research of Roadside LiDAR Sensing Multimode Traffic, Nevada Department of Transportation, $313,397, 2018 - 2021
  • PI, Pilot Applications of Roadside LiDAR Technologies in Washoe County, Regional Transportation Commission – Washoe County, $250,000, 2018 - 2020
  • PI, Data Collection of Wildlife Animals Crossing I80 in Eastern Nevada and USA Parkway, SOLARIS UTC and Nevada Department of Transportation, $136,051, 2018-2019
  • PI, Development of a Nevada wildlife-fencing GIS dataset, SOLARIS UTC and Nevada Department of Transportation, $145,817, 2018-2019
  • PI, University of Nevada Support Services to NDOT Traffic Safety Engineering, Nevada Department of Transportation, $500,000, 2017-2022

Selected publications

  1. Yao, E., H. Xu, R. Zhang, Y. Zhang “Analysis of Elderly People’s Travel Behaviors during the Morning Peak Hours in the Context of the Free Bus Program in Beijing, China”, Journal of Transport Geography, in press, 2019.
  2. Wu, J., H. Xu, Y. Zheng, Y. Zhang, B. Lv and Z. Tian, “Automatic Vehicle Classification using Roadside LiDAR Data”, Transportation Research Record: Journal of the Transportation Research Board, 2019 accepted.
  3. Wu, J., H. Xu, B. Lv, R. Yue and Y. Li, “Automatic Ground Points Identification Method for Roadside LiDAR Data”, Transportation Research Record: Journal of the Transportation Research Board, 2019 accepted.
  4. Wu, J., H. Xu, and W. Liu, “Points Registration for Roadside LiDAR Sensors”, Transportation Research Record: Journal of the Transportation Research Board, 2019 accepted.
  5. Wu, J., H. Xu, and C. Reider, “Annual Average Daily Traffic Prediction Model for Minor Roads at Intersections”, ASCE’s Journal of Transportation Engineering, Part A: Systems, Accepted, 2019.
  6. Song, X., Y. Tian, H. Xu, J. Wu, R. Yue, and A. Wang, “Automatic Ground Points Filtering of Roadside LiDAR Data Using a Channel-Based Filtering Algorithm”, Optics and Laser Technology Volume 115, Pages 374-383, 2019.
  7. Yue, R., G. Yang, Z. Tian, H. Xu, D. Lin and A. Wang, “Microsimulation Analysis Of Traffic Operations At Two Diamond Interchange Types”, Journal of Advanced Transportation, vol. 2019, Article ID 6863480, 11 pages, 2019.
  8. Zheng, J., B. Xu, X. Wang, X. Fan, H. Xu and G. Sun, “A portable roadside vehicle detection system based on multi-sensing fusion”, International Journal of Sensor Networks, Vol. 29, N. 1, 2019, Pages 38-47.
  9. Zhao, J., H. Xu, H. Liu and J. Wu, “Detection and Tracking of Pedestrians and Vehicles using Roadside LiDAR Sensors”, Transportation Research Part C, Volume 100, Pages 68-87, 2019.
  10. Wu, J., H. Xu, Y. Zheng and Z. Tian, “A Novel Method of Vehicle-Pedestrian Near-Crash Identification with Roadside LiDAR Data”, Accident Analysis & Prevention, Volume 121, December 2018, Pages 238-249.
  11. Wu, J. and H. Xu, “Driver Behavior Analysis on Rural Two-lane, Two-way Highways using SHRP 2 NDS Data”, Traffic Injury Prevention, Volume 19, 2018 - Issue 8, Pages 838-843.
  12. Zhao, J., H. Xu, J. Wu, Y. Zheng and H. Liu, “Tracking and Prediction of Pedestrian Behavior at Intersection Crossings using Roadside LiDAR”, IET Intelligent Transport Systems, 10.1049/iet-its.2018.5258., 2018.
  13. Sun, Y., H. Xu, J. Wu, J. Zheng and K. Dietrich, “3-D Data Processing to Extract Vehicle Trajectories from Roadside LiDAR Data”, Transportation Research Record: Journal of the Transportation Research Board, 0361198118775839, 2018.
  14. Wu, J., H. Xu, Y. Sun, J. Zheng and R. Yue, “Automatic Background Filtering Method for Roadside LiDAR Data”, Transportation Research Record: Journal of the Transportation Research Board, 0361198118775841, 2018.
  15. Yang, G., R. Yue, Z. Tian and H. Xu, “Modeling the Impacts of Traffic Flow Arrival Profiles on Ramp Metering Queues”, Transportation Research Record: Journal of the Transportation Research Board, 0361198118782253, 2018.
  16. Wu, J., H. Xu, J. Zhao. “Automatic Lane Identification using the Roadside LiDAR Sensors”, IEEE Intelligent Transportation Systems Magazine, PP(99):1-1 · October 2018.
  17. Wu, J. and H. Xu. “The Influence of Road Familiarity on Distracted Driving Activities and Driving Operation using Naturalistic Driving Study Data”, Transportation Research Part F: traffic psychology and behavior, 52, pp.75-85, 2018.
  18. Yang, G., Z Tian, D Wang and H Xu, “Queue length estimation for a metered on-ramp using mesoscopic simulation”, Transportation Letters, 1-10, 2018.