Short-term segment-level crash risk prediction using advanced data modeling with proactive and reactive crash data

B Dimitrijevic, SD Khales, R Asadi, J Lee - Applied Sciences, 2022 - mdpi.com
Highway crashes, along with the property damage, personal injuries, and fatalities that they
cause, continue to present one of the most significant and critical transportation problems. At …

Temporal instability assessment of injury severities of motor vehicle drivers at give-way controlled unsignalized intersections: A random parameters approach with …

H Zubaidi, I Obaid, A Alnedawi, S Das… - Accident Analysis & …, 2021 - Elsevier
Unsignalized intersections are highly susceptible to traffic crashes compared to signalized
ones. By taking into account temporal stability and unobserved heterogeneity, this study …

A correlated random parameters ordered probit approach to analyze the injury severity of bicycle-motor vehicle collisions at intersections

Z Babaei, MM Kunt - Accident Analysis & Prevention, 2024 - Elsevier
Bicycle-motor vehicle (BMV) accidents hold paramount importance due to their substantial
impact on public safety. Specifically, road intersections, being critical conflict points, demand …

Motor vehicle driver injury severity analysis utilizing a random parameter binary probit model considering different types of driving licenses in 4-legs roundabouts in …

HA Zubaidi, IA Obaid, A Alnedawi, S Das - Safety science, 2021 - Elsevier
A roundabout may not provide an acceptable level of control and can be confusing to
inexperienced drivers. Therefore, the purpose of this study is to identify the contributing …

Analyzing accident injury severity via an extreme gradient boosting (XGBoost) model

S Wu, Q Yuan, Z Yan, Q Xu - Journal of advanced …, 2021 - Wiley Online Library
Vehicle to vulnerable road user (VRU) crashes occupy a large proportion of traffic crashes in
China, and crash injury severity analysis can support traffic managers to understand the …

Analysis of Studies on Traffic Crashes Involving the Elderly: Asurvey of methods, influencing factors, andperspectives

X Gu, X Lu, X Jin, Y Guo, Y Zhou… - International review for …, 2023 - jstage.jst.go.jp
Ageing is an inevitable trend of population development. It is vital to study the traffic safety of
elderly populations. Although much literature has been produced about this issue, problems …

Development of crash prediction model using artificial neural network (ANN): a case study of Hyderabad, India

S Koramati, A Mukherjee, BB Majumdar… - Journal of The Institution of …, 2023 - Springer
Abstract Machine learning (ML)-based prediction of urban crashes using secondary crash
data derived from police crash databases is limited in India. This research demonstrated an …

Analyzing the factors influencing speeding behavior based on quasi-induced exposure and random parameter logit model with heterogeneity in means

G Zhang, Q Xuan, Y Cai, X Hu, Y Yin, Y Li - Journal of safety research, 2024 - Elsevier
Introduction: Speeding behavior is a major threat to road traffic safety, which can increase
crash risks and result in severe injury outcomes. Although several studies have been …

Analysis of factors affecting crash under risk scenarios based on driver homogenous clustering

L Zheng, Y Li, T Ding, F Meng, Y Zhang - PLoS one, 2023 - journals.plos.org
Research on road safety has focused on analyzing the factors that affect crashes. However,
previous studies have often neglected differences in crash causation among heterogeneous …

Exploring Traffic Safety Problems and Challenges of Older Roads' Users in Louisiana: Causes and Countermeasures

H Hassan, S Doulabi - 2021 - rosap.ntl.bts.gov
It is well established that older pedestrians and drivers with 65 years and above are among
the most vulnerable road users. As the number and proportion of older road users (as …