[HTML][HTML] Understanding the influence of environmental factors on driver speed: A structural equation modeling analysis

A Sheykhfard, F Haghighi, S Saeidi… - IATSS Research, 2024 - Elsevier
This study examined the influential roadway and contextual factors affecting drivers' speed
selection through a comprehensive investigation employing structural equation modeling …

Analysing road accident data using association rule mining

S Kumar, D Toshniwal - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
Road accident is one of the crucial areas of research in India. A variety of research has been
done on data collected through police records covering a limited portion of highways. The …

A novel framework to analyze road accident time series data

S Kumar, D Toshniwal - Journal of Big Data, 2016 - Springer
Road accident data analysis plays an important role in identifying key factors associated
with road accidents. These associated factors help in taking preventive measures to …

Analysis and modelling of crash severity of vulnerable road users through discrete methods: a case study approach

SR Gandupalli, P Kokkeragadda… - Innovative Infrastructure …, 2023 - Springer
Road traffic injuries rank as the eighth most prevalent cause of mortality among individuals
of various age groups while specifically representing the primary cause of death for …

Influence of socioeconomic conditions on crash injury severity for an urban area in a developing country

R Mesa-Arango, VG Valencia-Alaix… - Transportation …, 2018 - journals.sagepub.com
This paper includes macroeconomic conditions in an econometric framework to understand
urban crash injury severity (CIS) in a developing country, and identify its distinctive …

Identification of risk factors and safety issues using police reported crash data: an experience in the state of West Bengal, India

A CHAKRABORTY, D MUKHERJEE… - Journal of the Eastern …, 2022 - jstage.jst.go.jp
抄録 In developing countries, road safety is an issue of prime concern. In this context, the
present study has utilized road traffic crash data of the state of West Bengal, in India …

An analysis of influential factors associated with rural crashes in a developing country: a case study of Iran

A Sheykhfard, F Haghighi… - Archives of …, 2022 - archivesoftransport.com
Road traffic deaths continue to rise, reaching 1.35 million in recent years. Road traffic
injuries are the eighth leading cause of death for people of all ages. Note that there is a wide …

Comparison of three parametric and machine learning approaches for modeling accident severity on non-urban sections of Indian highways.

G Singh, SN Sachdeva, M Pal - Advances in transportation …, 2018 - search.ebscohost.com
Present study models the injury severity of acidents on non-urban sections of highways in
India using multinomial logit model and two non-parametric models, namely, decision tree …

Crash severity analysis for mixed lane urban road considering shoulder distress condition using SEM and MARS model: a case study in Patna, India

S Barman, R Bandyopadhyaya - Innovative Infrastructure Solutions, 2024 - Springer
Crash severity outcomes are random and are influenced by various interactions between
factors like road geometry, roadside hazards, pavement characteristics and crash-related …

Modeling fatal traffic accident occurrences in small Indian cities, Patiala, and Rajpura

K Kaur Dhanoa, G Tiwari, M Manoj - International journal of injury …, 2019 - Taylor & Francis
This article investigates the effects of highway-related correlates such as geometric design
features and traffic factors on fatal accident occurrences in small-sized Indian cities, Patiala …