A Multidisciplinary Approach for Tow Truck Operator Safety

R01 Research Grant

Funded by:
Centers for Disease Control and Prevention (CDC)/National Institute for Occupational Safety and Health (NIOSH)

Note: Not all following publications/presentations are directly from this grant.

  1. Jiayi Kong, Xiao Zou, Jun Liu, Weike Lu, 2025. Move Over or Slow Down? A Simulation-Based Evaluation of the Safety Impact of Motorist Actions in Compliance with Move Over Laws. TRBAM-25-02136. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.

  2. Xiao Zou, Ningzhe Xu, Jun Liu, 2025. Examining the Spatially Varying Correlates of Police Injury Severity: A Study of Pennsylvania. TRBAM-25-02845. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.

  3. Ziming Liu, Jiuyi Xu, Jun Liu, Yangming Shi, 2025. Enhancing Alternative Fuel Vehicle Emergency Response Through the Integration of Retrieval-Augmented Generation Enabled Large Language Model and Extended Reality. TRBAM-25-04759. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.

  4. Olga Bredikhina, Justin Fisher, Trayce Hockstad, Praveena Penmetsa, Jun Liu, Steven Jones, 2025. Move-Over Laws and Incident Response Personnel Safety in the United States. TRBAM-25-02288. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.

  5. Zhao, D, Xu, N., and Liu, J., 2025. Robotaxis in China: Firsthand perspectives of traffic law enforcement officers from Chinese cities with operational fleets. Journal of Intelligent Transportation Systems. https://doi.org/10.1080/15472450.2025.2497503

  6. Xu, N., Liu, J., Zhang, Z., and Jones, S., 2025. How do motorists' pre-crash behaviors contribute to the injury severity of police officers? Using interpretable machine learning to untangle the behavioral pathways in crashes involving police vehicle. Forthcoming in Journal of Safety Research.

  7. Yangming Shi, Ziming Liu, and Jun Liu, 2024. Preparing First Responders for Future Electrical Vehicle Emergencies Through Multimodality Virtual Reality Training Systems. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.

  8. Fisher, J., Bredikhina, O., Hockstad, T., Penmetsa, P., Liu, J. and Jones, S., 2024. Move-over Laws and Incident Response Personnel Safety in the USA. Journal of Road Safety35(3), pp.1-9.

  9. Xu, N., Liu, J., Zhang, Z. and Jones, S., 2024. Injury severity of police officers involved in traffic crashes: A spatial analysis of Alabama. Safety Science172, p.106406. https://doi.org/10.1016/j.ssci.2023.106406

  10. Liu, J., Xu, N., Penmetsa, P., Barnett, T., Pate, J., and Jones, S., 2024. Developing a Near-Miss Reporting System for Roadside Responders (Technical Report). Washington, D.C.: AAA Foundation for Traffic Safety. https://aaafoundation.org/developing-a-near-miss-reporting-system-for-roadside-responders-report/

  11. Liu, J., Zhang Z., Hainen, A., Jones, S., Barnett, T., and Burdette, S., 2024. Proactive Traffic Incident Management in Alabama. Submitted to Alabama Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/78177/dot_78177_DS1.pdf

  12. Liu, J., Penmetsa, P., Yang, C., Hainen, A. & Barnett, T. 2023. Protecting Roadside Workers: Field Evaluation of a Vehicle-Mounted Variable Message Sign and Examination of Worker Perceptions and Use of Countermeasures (Technical Report). Washington, D.C.: AAA Foundation for Traffic Safety. https://aaafoundation.org/protecting-roadside-workers-field-evaluation-of-a-vehicle-mounted-variable-message-sign-and-examination-of-worker-perceptions-and-use-of-countermeasures/

  13. Yang, C., Liu, J., Li*, X. and Barnett, T., 2023. Analysis of First Responder-Involved Traffic Incidents by Mining News Reports. Accident Analysis & Prevention, 192, p.107261. https://doi.org/10.1016/j.aap.2023.107261

  14. Liu, J., Xu, N., Shi, Y., Rahman, M., Barnett, T. and Jones, S., 2023. Do First Responders Trust Connected and Automated Vehicles? A National Survey. Transport Policy, 140, pp.85-99. https://doi.org/10.1016/j.tranpol.2023.06.012

  15. Liu, J., Fu, X., Hainen, A., Yang*, C., Villavicencio, L. and Horrey, W.J., 2023. Evaluating the impacts of vehicle-mounted Variable Message Signs on passing vehicles: implications for protecting roadside incident and service personnel. Journal of Intelligent Transportation Systems. http://dx.doi.org/10.1080/15472450.2023.2227968

  16. Liu, J., Xu*, N., Shi, Y., Barnett, T. and Jones, S., 2023. Are first responders prepared for electric vehicle fires? A national survey. Accident Analysis & Prevention, 179, p.106903. https://doi.org/10.1016/j.aap.2022.106903

  17. Praveena Penmetsa, Chenxuan Yang, Jun Liu, Timothy Barnett, Leon Villavicencio, Lindsay Arnold, 2023. B541 - Incident Response Personnel's Compliance and Non-Compliance to Recommended Safety Countermeasures and Protocols - TRBAM-23-04406. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.

  18. Praveena Penmetsa, Chenxuan Yang, Jun Liu,, Timothy Barnett, Xiaobing Li, 2023. B675 - Incident Response Personnel and Countermeasures Adoption: Lessons Learned from Focus Group Interviews - TRBAM-23-02154. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.

  19. Chenxuan Yang, Jun Liu, Timothy Barnett, Praveena Penmetsa, 2023. B542 - The Relationship Between Traffic Incident Responders Safety Experience and Countermeasure Adoption: A Machine Learning Study Based on the National Survey - TRBAM-23-04349. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.