Evaluating Relationships Between Perception-Reaction Times, Emergency Deceleration Rates, and Crash Outcomes Using Naturalistic Driving Data

Perception-reaction times (PRT) and deceleration rates are critical components in the design of highways and streets. This research has several objectives, including 1) evaluate differences in PRT and deceleration rates between crash and near-crash events, 2) assess the correlation between PRT and deceleration rate, 3) determine if there is a causal relationship between PRT and deceleration rate (and what it is), and 4) develop predictive models for PRT and deceleration rate that can be used for roadway design and crash reconstruction. These objectives were met by applying multiple statistical analysis techniques to the Strategic Highway Research Program 2 (SHRP2) naturalistic driving data. The analysis results indicated that crash events were associated with longer PRT values and lower deceleration rates. The Pearson correlation between PRT and deceleration rate was low. However, PRT was a causal factor of deceleration rate in both crash and near-crash events. In crash events, longer PRT values were associated with lower deceleration rates. In near-crash events, longer PRT values were associated with higher deceleration rates. Regression models for crash reconstruction were estimated using panel and quantile regression methods. Applications of these models for both purposes are illustrated and discussed. The results for design applications are compared with existing American Association of State Highway and Transportation Officials (AASHTO) design guidance.

• Record URL:
  https://www.ugpti.org/resources/reports/downloads/mpc17-338.pdf
• 
• Summary URL:
  https://www.ugpti.org/resources/reports/downloads/mpc17-338-brief.pdf
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  South Dakota State University, Brookings

  Brookings, SD  United States  57006

  Mountain-Plains Consortium

  North Dakota State University
  Fargo, ND  United States  58108

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Wood, Jonathan
  • Zhang, Shaohu
• Publication Date: 2017-12

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; References; Tables;
• Pagination: 58p

Subject/Index Terms

• TRT Terms: Automatic data collection systems; Crash reconstruction; Deceleration; Evaluation and assessment; Highway design; Mathematical prediction; Perception; Reaction time; Statistical analysis; Traffic crashes
• Identifier Terms: Strategic Highway Research Program 2
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01658599
• Record Type: Publication
• Report/Paper Numbers: MPC 17-338
• Files: UTC, TRIS, ATRI, USDOT
• Created Date: Jan 31 2018 10:50AM