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Study and Analysis of Accident Black Spots on SH-3, Madhugiri-Pavagada Road: A Case Study

Author(s):

Varun C. Naik , Sri Krishnarajendra Silver Jublie Technological Institute; Varun C. Naik, Sri Krishnarajendra Silver Jublie Technological Institute; Gnanamurthy P.B, Sri Krishnarajendra Silver Jublie Technological Institute; Dr. B V Kiran Kumar, Sri Krishnarajendra Silver Jublie Technological Institute; S Manjunatha, Sri Krishnarajendra Silver Jublie Technological Institute

Keywords:

Blackspot Identification, Accident Black Spots

Abstract

Accident blackspot can be defined as it is a place where road accidents had historically concentrated due to variety of reasons include sharp drops, sudden curve in the straight road, hidden junction on the fast road, poor warning signs and poor visibility of lane markings on the cross road. The statistical analysis of the accident spots is carried out periodically at critical locations which help to take some suitable counter measures to efficiently decrease the rate of accidents. Statistical analysis is one of the mathematical approach for deciding severity level of the black spots from the accident data collected. These analysis reports have been maintained zone wise and have to be updated regularly. Present study is carried out in two phases in which Phase-I deals with collection of primary and secondary input data such as traffic volume count, accident records from police file, road users and local residents feedback etc. required for identifying black spots and to analyze accident severity level. Accident records along SH3 were collected from madhugiri, midigeshi and pavagada jurisdiction, traffic volume count and turning movement counts were carried out at Junctions Hosakere and S.S.K. from the accident records and road users feedback collected at various locations on SH3 six black spots were identified namely a) S.S.K Junction b) Kanive Narasimha Swamy temple c) Rajvanthi d)Bidarekere e) Chinnenahalli f) Hosakere junction. Second phase of this study focuses on carrying out statistical analysis as per accident rates, accident frequency and accident severity method to validate accident severity level at identified six black spot locations. In the present method of statistical analysis black spot identification is validated through three criteria i.e. accident rate, accident frequency and accident severity and the severity level at each black spot location is identified as low severity, medium severity and high severity based on number of criteria achieved at each black spot location. Present study is concluded with reasonable and workable remedial measures recommendation to reduce number of accidents and its severity for the identified black spot locations of SH3 study stretch.

Other Details

Paper ID: IJSRDV3I70380
Published in: Volume : 3, Issue : 7
Publication Date: 01/10/2015
Page(s): 749-751

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