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Identification Of Black-spots In Stretch Naidupeta To Yerpedu (NH71)
Subject area: Science,Engineering and Technology · Area of research: CIVIL ENGINEERING
Abstract
Due to the increasing traffic, accidents are became major problem in view of traffic safety. Accidents are being a multi factor event, there are many causes like drivers condition, vehicle condition and environmental condition. In the present study the accident data for proposed stretch is collected from the police station from the year 2012-2016 as per prepared formats. The data sheet contains all the required accident details and the analysis is carried out for the available data. After this using crash density and crash frequency method black spots were identified.
Keywords
Accident Data, Black-spots, Crash Density, Crash Frequency, Road accidents.
References
[1] Sanjay Kumar Singh et al; Road Accident Analysis: A Case Study of Patna City. Urban Transport Journal 2(2): 60-75.
[2] Schelling, A.G.O.A. (1997), Manual of Road Safety Audit, Road Directorate, Road Safety and Environmental Division, Denmark.
[3] Road safety guidelines for Asian and Pacific Region, safe planning and design of roads by Asian Development Bank.
[4] AASTHO, Mass highway design manual, a policy on geometric design of highways and streets2001 April 2003.
[5] Arvind Kumar Mavoori., An activity plan for Indian Road Safety, Department of Science and Technology Linköpings University, Sweden, 2005.
[6] Jacobs.G, Thomas.A, Astrop.A (2002) Estimating global road fatalities, Global Road Safety Partnership, TRL Report 445, U.K.
[7] Margie Peden, Richard Scurfield, David Sleet, Dinesh Mohan, Adnan A. Hyder, Eva Jarawan and Colin Mathers., World report on road traffic injury prevention, World Health Organization Geneva 2004.
How to cite this paper
@article{1700119,
author = {Y Himaja Reddy, K Giridhar, T Suresh Babu},
title = {Identification Of Black-spots In Stretch Naidupeta To Yerpedu (NH71)},
journal = {Iconic Research And Engineering Journals},
year = {2017},
volume = {1},
number = {6},
pages = {26-31},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1700119.pdf},
abstract = {Due to the increasing traffic, accidents are became major problem in view of traffic safety. Accidents are being a multi factor event, there are many causes like drivers condition, vehicle condition and environmental condition. In the present study the accident data for proposed stretch is collected from the police station from the year 2012-2016 as per prepared formats. The data sheet contains all the required accident details and the analysis is carried out for the available data. After this using crash density and crash frequency method black spots were identified.},
keywords = {Accident Data, Black-spots, Crash Density, Crash Frequency, Road accidents.},
month = {December},
}