Aggressiveness propensity index for driving behavior at signalized intersections

Samer H. Hamdar, Hani S. Mahmassani*, Roger B. Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)315-326
Number of pages12
JournalAccident Analysis and Prevention
Volume40
Issue number1
DOIs
StatePublished - Jan 1 2008

Keywords

  • Aggressiveness propensity index (API)
  • Factor analysis
  • Signalized intersections
  • Structural equation modeling (SEM)

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Safety, Risk, Reliability and Quality
  • Public Health, Environmental and Occupational Health
  • Law

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