The problem of road crashes is one of the most critical in Greece and globally, as it is the cause of death worldwide for more than 1.2 million people every year. The aim of this Ph.D. thesis is the spatial and temporal analyses of high resolution road safety and traffic behavior data in order to create knowledge and support decisions in the field of road safety in Greece and internationally. For this purpose, high-definition data will be collected from driver trips and will be innovatively supplemented with real-time traffic, crash and road geometry data. Through spatial and temporal analysis traffic events (harsh braking/accelerations) will be depicted in order to investigate the distribution of the examined routes and their fluctuations at critical road points. Furthermore, via large scale machine learning applications a wide array of mathematical relationships will be examined and relevant statistical relationships will be developed. During the stages of the final synthesis the current research will focus on its investigation of the transferability and the generalization of results and methods to other cases.
This research is co-financed by Greece and the European Union (European Social Fund- ESF) through the Operational Programme «Human Resources Development, Education and Lifelong Learning» in the context of the project “Strengthening Human Resources Research Potential via Doctorate Research” (MIS-5000432), implemented by the State Scholarships Foundation (ΙΚΥ).