Citation

ChikkaKrishna NK, Parida M, Jain SS. J. Transp. Saf. Secur. 2017; 9(Suppl 1): 6-32.

Copyright

(Copyright © 2017, Southeastern Transportation Center, and Beijing Jiaotong University, Publisher Informa - Taylor and Francis Group)

DOI

10.1080/19439962.2016.1150927

PMID

unavailable

Abstract

Crash scenario in India is quite alarming and urges an urgent need to understand and mitigate the risk contributing factors leading to these crashes. This in turn depends on the reliable quality data pertaining to crash and its injury severity correlated with other contributing factors available for scientific analysis and modelling of crashes. Here an attempt has been made to develop a scientific database with in-depth crash details required for modelling of crashes for divided four lane non-urban highway. This paper describes the effect of safety factors including highway geometric parameters, traffic parameters, temporal parameters, environment parameters and different land use types on monthly crashes and crash severity model for three years (2011 to 2014) National Highway crash data. The results of the analysis presents the critical safety parameters that needs to be considered for highway development projects in future. This paper also highlights the need and significance of detailed crash information in analyzing the crashes and to understand the effect of different engineering, temporal and environmental parameters on crashes occurring in India. Crash frequency was predicted using Poisson Gamma model and crash severity using Ordered Probit model using Bayesian inference. The study results are applied to rank hazardous crash locations and to develop Crash Modification Factors.

Language: en