Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15468
Title: Recognising risk factors associated with crash frequency on rural four lane highways
Authors: Naveen Kumar C.
Parida, Manoranjan
Jain S.S.
Erkens S.
Liu X.
Anupam K.
Tan Y.
Published in: Proceedings of Functional Pavement Design - Proceedings of the 4th Chinese-European Workshop on Functional Pavement Design, CEW 2016
Abstract: Engineers and researchers in the transportation discipline have tried to build safe roads following appropriate design standards, but traffic crashes are unavoidable. Crash pattern could be detected if accurate prediction models capable to predict various traffic crashes are developed. To obtain the maximum possible crash reduction effects with limited budgetary resources, it is important that measures are based on engineering and scientific surveys to study cause of crashes. The research presented here aims to evaluate Road Safety using Bayesian methods on a section of four-lane National Highway (NH)-58 located in the state of Uttarakhand, India. This paper compares Poisson Regression, Poisson Log-Normal and Poisson Gamma modelling techniques using a full Bayes hierarchical approach for Indian highway crash data. Explanatory variables for highway segment analysis were Geometric Characteristics like Curvature Change Rate, Transverse Slope and Traffic Characteristics as Average Daily Traffic, Volume to Capacity ratio were analyzed against dependent variable as Crash Count per two hundred meter per year. ¬© 2016 Taylor & Francis Group, London.
Citation: Functional Pavement Design - Proceedings of the 4th Chinese-European Workshop on Functional Pavement Design, CEW 2016,(2016), (): 1657-1668
URI: http://repository.iitr.ac.in/handle/123456789/15468
Issue Date: 2016
Publisher: CRC Press/Balkema
Keywords: Bayesian networks
Budget control
Highway planning
Motor transportation
Pavement overlays
Pavements
Transportation
Accurate prediction
Average daily traffics
Curvature change rates
Explanatory variables
Geometric characteristics
Hierarchical approach
Modelling techniques
Traffic characteristics
Highway accidents
ISBN: 9.78132E+12
Author Scopus IDs: 57194381197
8963649200
35594194300
Author Affiliations: Naveen Kumar, C., Department of Civil Engneering, Transportation Engineering Group, Indian Institute of Technology, Roorkee, Roorkee, India
Parida, M., Department of Civil Engneering, Transportation Engineering Group, Indian Institute of Technology, Roorkee, Roorkee, India
Jain, S.S., Department of Civil Engneering, Transportation Engineering Group, Indian Institute of Technology, Roorkee, Roorkee, India
Appears in Collections:Conference Publications [CE]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.