ACCIDENT PREDICTION MODELS FOR SIGNALIZED CROSSWALKS

In Poland, there is an obvious need for effective countermeasures to e levate traffic safety, especially pedestrian safety. The paper present s results of study of pedestrian safety on signalized crosswalks. A re gression technique was used in the investigation of factors-accidents relationships and, then, the accident predictive models have been deve loped, The models have been used to highlight and quantify the effects of traffic and signals impacts on the pedestrian safety, The study ha s shown that short-term measurements carried on specially for a purpos e of safety analysis or these conducted by traffic authorities on a re gular basis provide sufficient data base for developing accident regre ssion models. The method of accident prediction applicable in non-stat ionary conditions faced in Poland and other East European countries, h as been proposed in the paper.