Road Accidentanalysis And Prediction Model : A Case Study Of Rajkot City

Abstract

The main aim of this paper is analyze and study of road traffic accident data. In this paper traffic volume survey and spot speed survey are carried out. The road traffic accident analyzed according to types of injuries, drivers age group , gender wise distribution, months , day and night time, location wise and types of vehicles. The road accident data analysed in varies types of injuries like fatal , minore , not injured and serious. In fatal accident 2 wheelers are more involved than others.Accident data analyzed as per month, the most of accidents have been occurred in the month of January and June.Minimum or zero number of accident observed in the monsoon month in may and august.Also, accident data analyzed according time in this paper the maximum accident occurred in day time and less and minimum accident are reported in night time. Further, accident data analyzed according to location wise the number of more accidents have been happened at kankot patiyu and kataria chokdi so observed it as black spot location. As per analyzed the accident data the age group 18 to 30 are more involved than others age group and gender wise distribution the males faces are more involved than female faces. To develop road accident prediction model each and every parameter related with the accident is considered and a micro level analysis of road accident is performed. After analysis road accident prediction models is developed based on different parameter like Driver age group and Traffic volume per 6hour (PCU). the models is validate through F test and Chi Square test.