A Study on Accident Rates in Tamilnadu Using R

Abstract

In this fast-growing world, the usage of vehicles by the public will increase day by day. Due to greater traffic in developed areas such as in roads and highways, motor accidents and train accidents are growing in our state. The reason for the accidents is numerous such as traffic rules violation, drunk and drive, defective roads, non-application of protective appliances, and hindrances on the road, due to assignment of incessant driving for many hours and due to flawed mechanism in the vehicle. Few accidents are due to acts rues. Due to increasing number of accidents, there is loss of human lives, property damage, Traffic deadlock etc., and they are the main cause for social problems. So, it becomes very essential to limit the road accidents. By identifying the causes for the accidents happening, it would be easier to avoid the accidents in future. It will be useful for the whole society and even for the traffic control department. The data analyzes of road accidents is performed out in this paper using ggplot function that is available in Tidyverse package of R language. This paper aims to provide a analysis on excerpting meaningful data with the help of Data Mining concept, in order to find accident hot spots and predict accident tendencies using the techniques of data mining