Please use this identifier to cite or link to this item: http://localhost:8081/jspui/handle/123456789/17647
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dc.contributor.authorRajput, Abhishek Kumar-
dc.date.accessioned2025-07-03T13:43:33Z-
dc.date.available2025-07-03T13:43:33Z-
dc.date.issued2013-06-
dc.identifier.urihttp://localhost:8081/jspui/handle/123456789/17647-
dc.description.abstractConsiderable research has been carried out in recent years to develope the relationships between accident rate and traffic flow, geometric characteristics of highway and environmental factors. Various prediction models have been developed by the researchers. The statistical approaches have generally used PoissonRegression and Negative Binomial regression models. The main objective of this report is understand the current models and their methodology which are used to predict the accident rate and to understand the trends in methodology that predict the safety performance of various elements which are considered in the planning, design and operation of Indian Highways. In this report, all those factors which affecting the accident rate are considered and improve the vehicle, roadway design to reduce the frequency of accident rate. An explicit review was done on the data and methodological issues pertaining to the crash data and the constraint experienced by the available data during analysis and modeling methods are used according to the suitability of data.en_US
dc.description.sponsorshipINDIAN INSTITUTE OF TECHNOLOGY ROORKEEen_US
dc.language.isoenen_US
dc.publisherI I T ROORKEEen_US
dc.subjectCrash Analysis Techniquesen_US
dc.subjectStatistical Analysisen_US
dc.subjectRegression Modelen_US
dc.subjectAccident Rateen_US
dc.titleMODELLING OF CRASHES FOR FOUR LANE NATIONAL HIGHWAYen_US
dc.typeOtheren_US
Appears in Collections:MASTERS' THESES (Civil Engg)

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