A systematic mapping review of surrogate safety assessment using traffic conflict techniques

A Arun, MM Haque, A Bhaskar, S Washington… - Accident Analysis & …, 2021 - Elsevier
Safety assessment of road sections and networks have historically relied on police-reported
crash data. These data have several noteworthy and significant shortcomings, including …

A systematic review of traffic conflict-based safety measures with a focus on application context

A Arun, MM Haque, S Washington, T Sayed… - Analytic methods in …, 2021 - Elsevier
Relative to safety assessment using data from observed crashes, conflict-based road safety
assessment can potentially provide additional insights into crash causation processes …

Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections

R Arvin, AJ Khattak, M Kamrani… - Journal of Intelligent …, 2020 - Taylor & Francis
Abstract Connected and Automated Vehicles (CAVs) can potentially improve the
performance of the transportation system by reducing human errors. This paper investigates …

Severity analysis for large truck rollover crashes using a random parameter ordered logit model

G Azimi, A Rahimi, H Asgari, X Jin - Accident Analysis & Prevention, 2020 - Elsevier
Large truck rollover crashes present significant financial, industrial, and social impacts. This
paper presents an effort to investigate the contributing factors to large truck rollover crashes …

Traffic conflict prediction using connected vehicle data

Z Islam, M Abdel-Aty - Analytic methods in accident research, 2023 - Elsevier
Transportation safety studies have been mostly focused on using crash data that are rare
events. Alternatively, conflict estimation can be used to assess safety. This has been proven …

Investigating the safety and operational benefits of mixed traffic environments with different automated vehicle market penetration rates in the proximity of a driveway …

SM Mousavi, OA Osman, D Lord, KK Dixon… - Accident Analysis & …, 2021 - Elsevier
Traffic congestion is monotonically increasing, especially in large cities, due to rapid
urbanization. Traffic congestion not only deteriorates traffic operation and degrades traffic …

Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest

Y Gu, D Liu, R Arvin, AJ Khattak, LD Han - Accident Analysis & Prevention, 2023 - Elsevier
Accurate crash frequency prediction is critical for proactive safety management. The
emerging connected vehicles technology provides us with a wealth of vehicular motion data …

Determinant of injury severities in large truck crashes: A weekly instability analysis

A Behnood, NSS Al-Bdairi - Safety science, 2020 - Elsevier
In the past, many attempts have been made to study the effects of large trucks on the safety
of roadway users. However, the exact effects of weekdays and weekends on the injury …

Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach

AM Boggs, B Wali, AJ Khattak - Accident Analysis & Prevention, 2020 - Elsevier
Automated vehicles (AVs) represent an opportunity to reduce crash frequency by eliminating
driver error, as safety studies reveal human error contributes to the majority of crashes. To …

Neighborhood-level COVID-19 hospitalizations and mortality relationships with built environment, active and sedentary travel

B Wali, LD Frank - Health & place, 2021 - Elsevier
Most of the existing literature concerning the links between built environment and COVID-19
outcomes is based on aggregate spatial data averaged across entire cities or counties. We …