Enhanced Classification Technique for Traffic Accident Analysis of Highways

摘要

Rapid growth of population in addition to raised financial exercises has supported in gigantic development of engine vehicles. This can be one in all the first factors to blame for road accidents.Accidents may be a_ unintentional or sudden event.Accidents area unit the results of the failure of individuals, equipment, materials, or setting to react needless to say.Traffic accident leads to loss of life and property.The aim of traffic accident analysis is to search out the attainable causes of accident.Road accidents can't be wholly prevented however by appropriate activity designing and administration the mischance rate may be lessened to a precise degree.This paper introduces the classification techniques C4.5,Naive bayes and ENHDTA using the WEKA Data mining tool. These techniques use on the NH-1 (Jalandhar to Ambala) dataset. With the ENHDTA technique it gives best results and high accuracy with less computation time and error rate.