Accident prediction models for signalized crosswalks

Abstract

In Poland, there is an obvious need for effective countermeasures to elevate traffic safety, especially pedestrian safety. The paper presents results of study of pedestrian safety on signalized crosswalks. A regression technique was used in the investigation of factors-accidents relationships and, then, the accident predictive models have been developed. The models have been used to highlight and quantify the effects of traffic and signals impacts on the pedestrian safety. The study has shown that short-term measurements carried on specially for a purpose of safety analysis or these conducted by traffic authorities on a regular basis provide sufficient data base for developing accident regression models. The method of accident prediction applicable in non-stationary conditions faced in Poland and other East European countries, has been proposed in the paper.