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.
