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Analysis Of Road Accidents On Nh 4 From Walaja Tollgate To Poonamallee On The Year Of 2015 & 2016

Journal: International Journal of Engineering and Techniques (Vol.4, No. 3)

Publication Date:

Authors : ;

Page : 301-311

Keywords : Collection of Data; Analysis of data; Identify accident (crash-type; location-time); vehicle (vehicle-type; pre-crash condition).;

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Abstract

The main aim of this paper is to analyze the road accidents from Walaja tollgate to Poonamallee. Analysis shows that the distribution of road accidental deaths and injuries in India varies according to age, gender, month and time. Age group 30-59 years is the most vulnerable population group, though males face higher level of fatalities and injuries than their female counterparts. In general, while in many developed and developing countries including China, road safety situation is generally improving, India faces a worsening situation. Without increased efforts and new initiatives, the total number of road traffic deaths in India is likely to cross the mark of 250,000 by the year 2025. There is thus an urgent need to recognize the worsening situation in road deaths and injuries and to take appropriate action. With the support and cooperation of National Highways Authority of India (NHAI) Kanchipuram Division, we conducted detailed investigation of accidents occurring on the National Highway 4 over a 110 km stretch.The primary objective was to collect and analyze NH-4 based traffic crash data to begin to create a sound basis for decision making for improving safety on India's roadways.A secondary objective was to establish a standardized methodology using economical tools for collecting and analyzing crash data, specific to Indian roads. The collected accident data was categorized first by single or multiple vehicle crash and next by accident type based on the first accident event. The data was then analysed identify accident (crash-type, locationtime), vehicle (vehicle-type , pre-crash condition) , occupants and other contributing factors , and environmental factors associated with injury severity . Findings show that front-to-rear collisions,mainly involving trucks and buses,caused due to slowing down,stopping,breaking down or overtaking.

Last modified: 2018-07-07 16:46:49