The incorporation of real-time traffic and weather data has proven to be a very fruitful approach when analysing crash likelihood. A major limitation is that there is no specific focus on vulnerable road users such as Powered-Two-Wheelers (PTWs). This paper aims to analyse PTW crash likelihood in the motorway of Attica Tollway (“Attiki Odos”) by using real-time traffic and weather data and applying Bayesian Logistic Regression. The results of the paper attempt to contribute to the understanding of accident probability and severity on motorways, by having a special consideration of PTWs for one of the first times for safety evaluation of motorways.
|Tags||accident analysis, statistical modelling, traffic management, weather conditions|