How did COVID-19 impact driving behaviors and crash Severity? A multigroup structural equation modeling

X Dong, K Xie, H Yang - Accident Analysis & Prevention, 2022 - Elsevier
Risky driving behaviors such as speeding and failing to signal have been witnessed more
frequently during the COVID-19 pandemic, resulting in higher rates of severe crashes. This …

Bayesian dynamic extreme value modeling for conflict-based real-time safety analysis

C Fu, T Sayed - Analytic methods in accident research, 2022 - Elsevier
Real-time safety analysis and optimization using surrogate safety measures such as traffic
conflicts and techniques such extreme value theory (EVT) models is an emerging research …

Understand the impact of traffic states on crash risk in the vicinities of Type A weaving segments: A deep learning approach

J Zhao, P Liu, C Xu, J Bao - Accident Analysis & Prevention, 2021 - Elsevier
The primary objective of this study was to evaluate the impacts of traffic states on crash risk
in the vicinities of Type A weaving segments. A deep convolutional embedded clustering …

Dynamic identification of short-term and longer-term hazardous locations using a conflict-based real-time extreme value safety model

T Ghoul, T Sayed, C Fu - Analytic methods in accident research, 2023 - Elsevier
A novel and effective approach to safety management requires evaluating the safety of
locations over short time periods (eg minutes). Unlike traditional methods that are based on …

Real-time safest route identification: Examining the trade-off between safest and fastest routes

T Ghoul, T Sayed, C Fu - Analytic methods in accident research, 2023 - Elsevier
Several studies have shown that crash risk is a dynamic quantity that is frequently changing
with considerable spatial and temporal variations. Recent advances in safety evaluation …

Safety impacts of geometric design on freeway segments with closely spaced entrance and exit ramps

J Zhao, Y Guo, P Liu - Accident Analysis & Prevention, 2021 - Elsevier
The objective of this study was to evaluate the effects of geometric design on crash risk on
freeway segments with closely spaced entrance and exit ramps. Traffic flow, geometric …

Exploring the associations between driving volatility and autonomous vehicle hazardous scenarios: Insights from field operational test data

R Yu, S Li - Accident Analysis & Prevention, 2022 - Elsevier
With the promising development and deployment trends of autonomous vehicles (AVs), AVs'
operation safety has become a key issue worldwide. Studies have been conducted to reveal …

Exploring crash mechanisms with microscopic traffic flow variables: A hybrid approach with latent class logit and path analysis models

R Yu, Y Zheng, M Abdel-Aty, Z Gao - Accident Analysis & Prevention, 2019 - Elsevier
Highlights•Proposed a hybrid approach to analyze crash heterogeneity and causal
relationships.•Utilized latent class logit model to obtain 4 sets of crash influencing …

Severity analysis of red-light-running-related crashes using structural equation modeling

K Shaaban, I Gharraie, E Sacchi… - Journal of Transportation …, 2021 - Taylor & Francis
The study investigated factors affecting the severity of red-light-running (RLR)-related
crashes by means of crash records from the State of Florida (US). Previous studies have …

Analysis framework to assess crash severity for large trucks on rural interstate roads utilizing the latent class and random parameter model

SM Gaweesh, I Ahmed… - Transportation research …, 2023 - journals.sagepub.com
Truck freight has high importance to the national economy as it handles more cargo than
other types of freight transportation. To improve the safety of commercial vehicles, several …