Completed 2021 Research Project

Advancing crash investigation with connected and automated vehicle data – Phase 2

Principal Investigator
Asad Khattak
University of Tennessee, Knoxville
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Final Report

Project Slide Deck

Project Datasets

Research Brief

Summary

This project aims to identify training needs in the area of automated driving systems (ADS) for law enforcement officers and crash investigators to identify data available for connected and automated vehicles (CAV) that can augment modern crash investigation procedures. The objective of this project is to investigate these two topics by engaging professional collision investigators for perspectives on augmenting investigations with CAV data and reconnect with law enforcement to identify training gaps. The research findings and products will be of interest to law enforcement, state agencies such as DOT and DMV, private sector crash investigators, and advocates for safety such as AAA Foundation.
 
This work expands on CSCRS Project R25 Advancing Crash Investigation with Connected and Automated Vehicle Data which focused exclusively on the perspectives of law enforcement officers. Two key findings of the previous work showed that law enforcement tended to focus their recommendations on current shortcomings in collision investigation data, rather than on an expansion of data collection capabilities, and this focus was likely related to a lack of exposure to ADS technology. 

Publications

  • Clark, K., Clamann, M. and Khattak, A. (2021). Advancing crash Investigation with Connected and Automated Vehicle Data. In Proc. of the 100th Annual Transportation Research Board Meeting, Washington, D.C. Note: This paper was based on work in Phase 1 of this project.
  • Beck, J., R. Arvin, S. Lee, A. Khattak, S. Chakraborty, Automated Vehicle Data Pipeline for Accident Reconstruction: New Insights from LiDAR, Camera, and Radar Data, Accident Analysis and Prevention, Volume 180, 106923, February 2023.
  • Lee, S. R. Arvin, & A. Khattak, Advancing Investigation of Automated Vehicle Crashes Using Text Analytics of Narratives and Bayesian Analysis, Accident Analysis and Prevention, 181:106932, 2023.
  • King, M., A. Khattak, M. Adeel, & S. Usman, Advancing crash investigation with connected and automated vehicle data: Insights from a Survey of Law Enforcement, TRBAM-24-02430, Accepted for presentation at the Transportation Research Board Annual Meeting, Washington, D.C., 2024.

Project Details

Project Type: Research
Project Status: Completed
Start Date: 6/01/2021
End Date: 09/30/2023
Contract Year: Year 5
Total Funding from CSCRS: $41,500