Investigating the effect of road condition and vacation on crash severity using machine learning algorithms

M Almannaa, MN Zawad, M Moshawah… - … journal of injury …, 2023 - Taylor & Francis
Investigating the contributing factors to traffic crash severity is a demanding topic in research
focusing on traffic safety and policies. This research investigates the impact of 16 roadway …

Predicting road crash severity using classifier models and crash hotspots

MK Islam, I Reza, U Gazder, R Akter, M Arifuzzaman… - Applied Sciences, 2022 - mdpi.com
The rapid increase in traffic volume on urban roads, over time, has altered the global traffic
scenario. Additionally, it has increased the number of road crashes, some of which are …

Analyzing factors associated with fatal road crashes: a machine learning approach

AJ Ghandour, H Hammoud, S Al-Hajj - International journal of …, 2020 - mdpi.com
Road traffic injury accounts for a substantial human and economic burden globally.
Understanding risk factors contributing to fatal injuries is of paramount importance. In this …

Identifying significant injury severity risk factors in traffic accidents based on the machine learning methods

W Zhang, Z Zhou, L Li, R Huang - CICTP 2019, 2019 - ascelibrary.org
Traffic safety is one of the crucial problems in many countries. Understanding the conditions
under which people are more likely to be killed or more severely injured in traffic accidents …

Comparing fatal crash risk factors by age and crash type by using machine learning techniques

AH Alshehri, F Alanazi, AM Yosri, M Yasir - PLoS one, 2024 - journals.plos.org
This study aims to use machine learning methods to examine the causative factors of
significant crashes, focusing on accident type and driver's age. In this study, a wide-ranging …

Incorporating real-time traffic and weather data to explore road accident likelihood and severity in urban arterials

A Theofilatos - Journal of safety research, 2017 - Elsevier
Introduction The effective treatment of road accidents and thus the enhancement of road
safety is a major concern to societies due to the losses in human lives and the economic and …

A novel deep learning approach to predict crash severity in adverse weather on rural mountainous freeway

MN Khan, MM Ahmed - Journal of Transportation Safety & Security, 2023 - Taylor & Francis
The main focus of this study was to develop a robust prediction model based on deep
learning capable of providing timely predictions of injury and fatal crashes in adverse …

[PDF][PDF] Using classification and regression trees (CART) to identify factors contributing to vehicle crash severity in a port city

E Abbasi, Y Li, X Wu, B Craig - International Journal of Transportation …, 2021 - iaras.org
Vehicle crash is one of the leading causes of deaths and results in around 1.35 million
fatalities in the world each year. As one of the busiest ports in the United States, Beaumont …

Risk prediction for winter road accidents on expressways

D Kim, S Jung, S Yoon - Applied Sciences, 2021 - mdpi.com
Road accidents caused by weather conditions in winter lead to higher mortality rates than in
other seasons. The main causes of road accidents include human carelessness, vehicle …

Injury severity influence factors and collision prediction-A case study on Kuwait highways

F AlRukaibi, S AlKheder, T Sayed, A Alburait - Journal of Transport & Health, 2021 - Elsevier
Traffic collisions are considered a serious problem worldwide that cause severe losses. Gulf
Cooperation Council (GCC) Countries have high rates of collisions, which requires urgent …