e-ISSN : 0975-4024 p-ISSN : 2319-8613   
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ABSTRACT

ISSN: 0975-4024

Road accidents are one of the major causes of death worldwide as per Global safety report more than 1.5 million people are killed in road accidents every year throughout the world[5] The probability of occurrence of accident depends on numerous factors like roadway condition, geometrics of road, vehicle, pavement condition and weather condition, etc[10] each factor contributes its own share towards occurrence of accidents and there can be many more factors which are situation specific. To ascertain the effect of various parameters an accident occurrence, data of road accidents for a stretch of 101 Kms of an Indian national highway was collected for past 3 years. The analysis of the data using regression technique enables to predict the occurrence of accidents for a certain situation and similar application can be carried out on any stretch to get regression equation of similar type.
Title : Accident data analysis using Statistical methods –A case study of Indian Highway
Authors : Rahul Badgujar, Priyam Mishra, Mayank Chandra,Sayali Sandbhor, Humera Khanum
Keywords : Nature of Accidents, Cause of Accidents, Road Feature, Classification of Accident, Road Safety.
Issue Date : Jun-Jul 2017
Abstract :
Page(s) : 2665-2671
ISSN : 0975-4024 (Online) 2319-8613 (Print)
Source : Vol. 9, No.3
PDF : Download
DOI : 10.21817/ijet/2017/v9i3/1709030156