Home

Aims and Scope

Instructions for Authors

View Issues & Articles

Editorial Board

Article Search

ATS International Journal
Editor in Chief: Prof. Alessandro Calvi
Address: Via Vito Volterra 62,
00146, Rome, Italy.
Mail to: alessandro.calvi@uniroma3.it

Exploratory assessment of road traffic crashes on the intercity expressway in India

L.S. Bisht, G. Tiwari, K.R. Rao, K.N. Jha
Pages: 45-58

Abstract:

The study aims to evaluate the risk of RTC on the selected intercity expressway in India. An exploratory data analysis technique was employed to ascertain crash characteristics. Random parameter negative binomial modelling approaches were used to account for segment-specific unobserved heterogeneity on the 168 km intercity six-lane expressway. According to the revealed crash characteristics, rear-end crashes had the highest proportion of total crashes. Pedestrians' fatality was also significant, a unique characteristic of expressway crashes in low-and-middle-income countries (LMICs) like India. In the case of a hit pedestrian fatal crash, the identity of the impacting vehicle was unknown. The crashes involving median and guardrails also substantially contributed to the total crashes. Cars and trucks were involved in most of the crashes as striking vehicles. Cars as striking vehicles caused the highest pedestrian fatalities. Single-vehicle crashes (SVC) also had a substantial proportion of the total crashes. Temporal crash characteristics reveal that nighttime crashes were slightly higher than daytime crashes. Model results showed that segments with attributes such as the presence of hazards, presence of access location and underpasses, vertical alignment length, horizontal alignment radius, horizontal curve length and high AADT have a high risk of fatal crashes. In contrast, the segments with the attributes such as the presence of a village or settlement, vertical alignment gradient, vertical curve length and speed are negatively associated with the fatal crashes. The effect of these variables was consistent across all the developed models. The statistically significant random parameters are Speed, AADT and vertical curve length. The random parameter negative binomial (RPNB) and correlated random parameter negative binomial (CRPNB) performed better than the fixed parameter negative binomial (FPNB) model. The findings from this study are likely to help the decision-makers and engineers to calibrate the expressway design, mainly when it passes through the villages or settlements.
Keywords: crash characteristics; geometric design; highway safety; LMICs; safety analytics; unobserved heterogeneity

2025 ISSUES
2024 ISSUES
2023 ISSUES
2022 ISSUES
2021 ISSUES
2020 ISSUES
2019 ISSUES
2018 ISSUES
2017 ISSUES
2016 ISSUES
2015 ISSUES
2014 ISSUES
2013 ISSUES
2012 ISSUES
2011 ISSUES
2010 ISSUES
2009 ISSUES
2008 ISSUES
2007 ISSUES
2006 ISSUES
2005 ISSUES
2004 ISSUES
2003 ISSUES