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Hao Xu

Professor, Civil and Environmental Engineering

Open to new collaborations

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

Recent publications

The ten most recent from their Google Scholar profile, newest first.

  1. Markov chain Monte Carlo-driven exploration and refinement for CGAN-based synthetic image generation for rail surface defect segmentation

    S Zhou, I Lashkov, A Nitta, H Yang, C Chen, C Zhang, S Sun, Y Wang, .... Expert Systems with Applications, 132046 , 2026. 2026

    2 citations

  2. Statewide intersection geometry extraction using geographic information system and deep learning model from road maps

    Z Wang, H Xu, F Guan, Z Chen. Journal of Intelligent Transportation Systems 30 (3), 617-633 , 2026. 2026

    2 citations

  3. Occlusion-Aware Trajectory Discontinuity Correction for Roadside LiDAR Using Time–Space Analysis

    M Dong, H Xu, M Tian, F Guan, Z Wang, R Sun, Y Guan. Sensors 26 (12), 3755 , 2026. 2026

  4. Efficient Context-Aware Traffic Trajectory Monitoring From Roadside LiDAR for Occlusion Handling

    Z Chen, H Xu, Z Wang, F Guan, M Tian. IEEE Transactions on Intelligent Transportation Systems , 2026. 2026

  5. Deep learning-based vehicle detection and tracking from roadside LiDAR data through robust affinity fusion

    S Zhou, H Yang, I Lashkov, C Chen, H Xu, G Zhang, Y Yang. Expert Systems with Applications 279, 127338 , 2025. 2025

    10 citations

  6. Mapping and quantifying near-miss events involving vehicles and vulnerable road users in Reno and Sparks, Nevada

    S Kelley, C Peiffer, F Guan, H Xu, J Okorocha, K Dunn, C Cardillo. Transportation Research Interdisciplinary Perspectives 32, 101514 , 2025. 2025

    3 citations

  7. METHODS AND SYSTEMS FOR EXTRACTING HEADWAY DATA FROM LiDAR SENSOR DATA

    H Xu, T Whitley. US Patent App. 18/505,375 , 2025. 2025

  8. Proactive safety analysis using roadside LiDAR based vehicle trajectory data: a study of rear-end crashes

    N Bhattarai, Y Zhang, H Liu, Y Pakzad, H Xu. Transportation research record 2678 (3), 772-785 , 2024. 2024

    34 citations

  9. Deep learning-based pedestrian trajectory prediction and risk assessment at signalized intersections using trajectory data captured through roadside LiDAR

    S Zhou, H Xu, G Zhang, T Ma, Y Yang. Journal of Intelligent Transportation Systems 28 (6), 793-805 , 2024. 2024

    27 citations

  10. Optimized long short-term memory network for LiDAR-based vehicle trajectory prediction through Bayesian optimization

    S Zhou, I Lashkov, H Xu, G Zhang, Y Yang. IEEE Transactions on Intelligent Transportation Systems 26 (3), 2988-3003 , 2024. 2024

    16 citations

All publications on Google Scholar