Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15468
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNaveen Kumar C.-
dc.contributor.authorParida, Manoranjan-
dc.contributor.authorJain S.S.-
dc.contributor.editorErkens S.-
dc.contributor.editorLiu X.-
dc.contributor.editorAnupam K.-
dc.contributor.editorTan Y.-
dc.date.accessioned2020-12-02T11:38:42Z-
dc.date.available2020-12-02T11:38:42Z-
dc.date.issued2016-
dc.identifier.citationFunctional Pavement Design - Proceedings of the 4th Chinese-European Workshop on Functional Pavement Design, CEW 2016,(2016), (): 1657-1668-
dc.identifier.isbn9.78132E+12-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/15468-
dc.description.abstractEngineers 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.-
dc.description.sponsorshipDutch Ministry of Infrastructure and the Environment;Fahe China;Lucobit AG-
dc.language.isoen_US-
dc.publisherCRC Press/Balkema-
dc.relation.ispartofProceedings of Functional Pavement Design - Proceedings of the 4th Chinese-European Workshop on Functional Pavement Design, CEW 2016-
dc.subjectBayesian networks-
dc.subjectBudget control-
dc.subjectHighway planning-
dc.subjectMotor transportation-
dc.subjectPavement overlays-
dc.subjectPavements-
dc.subjectTransportation-
dc.subjectAccurate prediction-
dc.subjectAverage daily traffics-
dc.subjectCurvature change rates-
dc.subjectExplanatory variables-
dc.subjectGeometric characteristics-
dc.subjectHierarchical approach-
dc.subjectModelling techniques-
dc.subjectTraffic characteristics-
dc.subjectHighway accidents-
dc.titleRecognising risk factors associated with crash frequency on rural four lane highways-
dc.typeConference Paper-
dc.scopusid57194381197-
dc.scopusid8963649200-
dc.scopusid35594194300-
dc.affiliationNaveen Kumar, C., Department of Civil Engneering, Transportation Engineering Group, Indian Institute of Technology, Roorkee, Roorkee, India-
dc.affiliationParida, M., Department of Civil Engneering, Transportation Engineering Group, Indian Institute of Technology, Roorkee, Roorkee, India-
dc.affiliationJain, 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 simple item record


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