GIS BASED SPATIAL ANALYSIS OF URBAN TRAFFIC ACCIDENTS

Abstract

In the recent years the number and speed of vehicles have been increased and the quality of roads and safety standard of vehicles are being optimized to a desired level by using various methods. In addition, the road users are being educated to improve their behaviour in terms of safe driving. This study has shown how to reduce the traffic accidents on selected stretches in urban context. The goal of this paper is to analyze traffic accidents in selected stretches i.e. Miyapur to kukatpally, Dilsuknagar to Chaderghat, RTC X-road to Secunderabad, Afzalgunj to Puranapul, which are affected due to traffic congestion using GIS in the City of Hyderabad. The first part of the study investigated identification of maximum number of accidents in selected areas, accident victim wise, accident accused vehicle wise, accident day wise, accident by age wise, accident by hour wise, accident by drunk and drive wise etc. The second part of the study investigated collection of spatial data and non spatial data for identification of traffic accident black spots. The third part of the study investigated the development of spatial and attribute database to minimize the traffic congestion and to suggest the alternate route to prevent accidents. The last part of the study investigated the development of processing tool to create black spot analysis by Kernel Density Estimation method using GIS to reduce traffic accidents. The study suggested several improvements that can be implemented in order to have a more userfriendly and automated system and to make data accessibly for all the road users and to implement various procedures to provide more safety on roads.