Identification of dynamic traffic crash risk for cross-area freeways based on statistical and machine learning methods

Y Yang, K He, Y Wang, Z Yuan, Y Yin, M Guo - Physica A: Statistical …, 2022 - Elsevier
Freeway traffic safety should be given great attention due to the frequent and serious
consequences that arise from freeway traffic crashes. With the possibility of obtaining high …

Understanding the potential of emerging digital technologies for improving road safety

ME Torbaghan, M Sasidharan, L Reardon… - Accident Analysis & …, 2022 - Elsevier
Abstract Each year, 1.35 million people are killed on the world's roads and another 20–50
million are seriously injured. Morbidity or serious injury from road traffic collisions is …

Using machine learning models to forecast severity level of traffic crashes by R Studio and ArcGIS

BW Al-Mistarehi, AH Alomari, R Imam… - Frontiers in built …, 2022 - frontiersin.org
This study describes crash causes, conditions, and distribution of accident hot spots along
with an analysis of the risk factors that significantly affect severity levels of crashes and their …

Utilizing machine learning models to predict the car crash injury severity among elderly drivers

RE Al Mamlook, TZ Abdulhameed… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Car crash can cause serious and severe injuries that impact people every day. Those
injuries could be especially damaging for elderly drivers of age 60 or more. The goal of this …

Vehicle collisions analysis on highways based on multi-user driving simulator and multinomial logistic regression model on US highways in Michigan

A IM Almadi, RE Al Mamlook, I Ullah… - International journal …, 2023 - Taylor & Francis
Traffic collision on the highway has become a serious issue because they delay the
sustainable development of society. Highway accidents on I-69 have one of the highest …

Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand

I Mohamad, S Jomnonkwao, V Ratanavaraha - Case studies on transport …, 2022 - Elsevier
Thailand ranks first in Asia and ninth in the world in term of road accident. As of 2020, the
number of vehicles registered in Thailand was over 41 million, with motorcycles accounting …

Boosting Ensemble Learning for Freeway Crash Classification under Varying Traffic Conditions: A Hyperparameter Optimization Approach

A Almahdi, RE Al Mamlook, N Bandara, AS Almuflih… - Sustainability, 2023 - mdpi.com
Freeway crashes represent a significant and persistent threat to road safety, resulting in both
loss of life and extensive property damage. Effectively addressing this critical issue requires …

Application of the apriori algorithm for traffic crash analysis in Thailand

I Mohamad, R Kasemsri, V Ratanavaraha… - Safety, 2023 - mdpi.com
Accidents pose significant obstacles to economic progress and quality of life, especially in
developing countries. Thailand faces such challenges and this research seeks to assess the …

COVID-19's Influence on Karachi Stock Exchange: A Comparative Machine Learning Algorithms Study for Forecasting

T Munir, RE Al Mamlook, AR Rahman, A Alrashidi… - Heliyon, 2024 - cell.com
The COVID-19 pandemic has great effects for economies international. This study studies
the interconnection between COVID-19 metrics and Pakistan's premier stock exchange, the …

Evaluation of machine learning models to forecast COVID-19 relying on laboratory outcomes characteristics in children

R Al Mamlook, W Al-Mawee, AYQ Alden… - IOP Conference …, 2021 - iopscience.iop.org
An outbreak of the 2019 novel Coronavirus epidemic (COVID-19) has rapidly spread
worldwide. The coronavirus (COVID-19) has also spread among children, but it has been …