Aggressiveness propensity index for driving behavior at signalized intersections

Accident; Analysis and Prevention
Samer H HamdarRoger B Chen

Abstract

The development of a quantitative intersection aggressiveness propensity index (API) is described in this paper. The index is intended to capture the overall propensity for aggressive driving to be experienced at a given signalized intersection. The index is a latent quantity that can be estimated from observed environmental, situational and driving behavior variables using structural equations modeling techniques. An empirical study of 10 major signalized intersections in the greater Washington DC metropolitan area was conducted to illustrate the approach. The API is shown to provide (a) an approach for capturing and quantifying aggressive driving behavior given certain measurements taken at a particular intersection, (b) understanding of the factors and intersection characteristics that may affect aggressiveness, and (c) an index for the cross comparison of different traffic areas with different features. This index has the potential to support safety policy analysis and decision-making.

References

Dec 26, 2001·Annual Review of Psychology·Craig A Anderson, Brad J Bushman

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Citations

Aug 24, 2010·Accident; Analysis and Prevention·Rajesh PaletiChandra R Bhat
Dec 11, 2008·Accident; Analysis and Prevention·Ju-Yeon LeeBongsoo Son
Sep 26, 2015·Journal of Safety Research·Jessica M HuttonAlison Smiley
Mar 20, 2013·Accident; Analysis and Prevention·Samer H Hamdar, Justin Schorr
Dec 3, 2014·Accident; Analysis and Prevention·Mazen DanafIsam Kaysi
Mar 10, 2020·International Journal of Injury Control and Safety Promotion·Mahdi Rezapour, Khaled Ksaibati
Aug 30, 2019·Accident; Analysis and Prevention·Ramin ArvinAsad J Khattak

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