Identification of factors related to violation propensity: mining the data of the Franklin intersections

Abstract

This report describes an investigation of factors related to the prevalence of red-light violations at signalized intersections. A sample of 3,000 violators were compared to a matched set of compliant vehicle approaches using a logistic regression model. The focus was on identifying and exploring causal factors with the aim of assisting efforts to discover potential strategies for mitigation.