Accident analysis and development of crash prediction model of mid size city

Nayak, Swagat Chandan (2014) Accident analysis and development of crash prediction model of mid size city. BTech thesis.



Accident analysis studies aim at the identification of high rate accident location, safety deficient areas and the accidents prone zones within Rourkela city, using GIS. For this purpose the road accident data for seven consecutive years, pertaining to Rourkela city has to be used. Accident particulars like year, location, type of vehicle involved, are included in GIS database. The buffer function available in the spatial analyst extension of Arc GIS software was to be applied to identify the accident prone areas in Rourkela. The road geometry will be measured in accident prone location to find out the cause of accident, based on these result, suggestion are to be provided to reduce the frequency of accidents at that particular place. Accidents prediction is done by regressing traffic volume with accident data to obtain an equation which could apprehend the forth coming accidents in the future. Preventive measures regarding the improvement of traffic condition for minimizing accidents rate are suggested.

Item Type:Thesis (BTech)
Uncontrolled Keywords:accident analysis,buffer analysis,accident prediction model
Subjects:Engineering and Technology > Civil Engineering > Transportation Engineering
Divisions: Engineering and Technology > Department of Civil Engineering
ID Code:5534
Deposited By:Hemanta Biswal
Deposited On:18 Jul 2014 15:04
Last Modified:18 Jul 2014 15:04
Supervisor(s):Bhuyan, P K

Repository Staff Only: item control page