PUNE MUMBAI EXPRESSWAY TO AVOID ACCIDENT NEAR URSA-TOLL PLAZA

Abstract

The costs of fatalities and injuries due to road traffic accidents (RTAs) have a tremendous impact on societal well being and socioeconomic development. RTAs are among the leading causes of death and injury worldwide, causing an estimated 1.2 million deaths and 50 million injuries each year (World Health Organization, 2004).The basic hypothesis of this project is that accidents are not randomly scattered along the road network, and that drivers are not involved in accidents at random. There are complex circumstantial relationships between several characteristics (driver, road, car, etc.) and the accident occurrence. As such, one cannot improve safety without successfully relating accident frequency and severity to the causative variable. We will attempt to extend the authors’ previous work in this area by generating additional attributes and focusing on the contribution of road-related factors to accident severity. This will help to identify the parts of a road that are risky, thus supporting traffic accident data analysis in decision-making processes.