ACCIDENT PREDICTION MODELLING FOR AN URBAN ROAD OF BANGALORE

Infrastructure development and/or enhancement of ur ban areas entail the assessment of safety parameter s for the efficient and safe movement of the road users from a transportation en gineer’s perspective. It has become an essential pa rt of every transportation plan to focus on the road user safety aspects not only i n the present traffic condition, but also with the changing scenario of the traffic flow. The major purpose of this study was to develop an a ccident prediction model that would depict the effe ct of some of the major factors on accident causation on urban roads. The factors iroad characteristics and traffic volume det ails collected for a selected stretch in Bangalore that is one of the major black spot locations of the city. The selected best fit model had an excellent coefficient of determination (R 2 adj = 0.967), encompassing the crucial variables such acarriageway width, shoulder type, number of minor crossings, land use, road condition, average speed of traffic stream and composition of trucks. It is envisioned that this study will help recommend the significant safety measures that need to be adopted by the transportation planners in de signing a safer road user environment.