[HTML][HTML] Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence

L Masello, G Castignani, B Sheehan, M Guillen… - Accident Analysis & …, 2023 - Elsevier
Usage-based insurance has allowed insurers to dynamically tailor insurance premiums by
understanding when and how safe policyholders drive. However, telematics information can …

How to select distracted driving countermeasures evaluation metrics: A systematic review

M Pan, A Ryan - Journal of Transportation Safety & Security, 2024 - Taylor & Francis
While there are numerous performance metrics that have been developed for the evaluation
of distracted driving prevention programs, there is little information on how to select them …

Data mining approach to explore emergency vehicle crash patterns: A comparative study of crash severity in emergency and non-emergency response modes

MM Hossain, H Zhou, S Das - Accident Analysis & Prevention, 2023 - Elsevier
Emergency vehicle crashes, involving police vehicles, ambulances, and fire trucks, pose a
serious traffic safety concern causing severe injury and deaths to first responders and other …

Identifying roadway departure crash patterns on rural two-lane highways under different lighting conditions: association knowledge using data mining approach

A Hossain, X Sun, S Islam, S Alam… - Journal of safety research, 2023 - Elsevier
Introduction: More than half of all fatalities on US highways occur due to roadway departure
(RwD) each year. Previous research has explored various risk factors that contribute to RwD …

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 …

Determinants of traffic safety enforcement behaviour among police officers: A narrative review

RGN Yasanthi, CM Wickens, B Jonah, B Mehran… - Case Studies on …, 2024 - Elsevier
Traffic safety enforcement (TSE), which includes policing of traffic laws, is a key component
of safe transport systems. Effective TSE depends on law enforcement professionals'(ie …

Crashes involving distracted pedestrians: Identifying risk factors and their relationships to pedestrian severity levels and distraction modes

MM Hossain, H Zhou, X Sun, A Hossain… - Accident Analysis & …, 2024 - Elsevier
The concept of distracted pedestrians and its impact on highway safety has gained
increasing attention in recent years. However, studies focusing exclusively on distracted …

[HTML][HTML] Exploring association of contributing factors to pedestrian fatal and severe injury crashes under dark-no-streetlight condition

A Hossain, X Sun, R Thapa, MM Hossain, S Das - IATSS research, 2023 - Elsevier
The pedestrian crash pattern in the dark-no-streetlight condition is a noteworthy ongoing
traffic safety concern. The persistently high percentage of pedestrian fatalities at night in the …

Cellphone-distracted crashes of novice teen drivers: Understanding associations of contributing factors for crash severity levels and cellphone usage types

MM Hossain, H Zhou, MA Rahman, S Das… - Traffic injury …, 2022 - Taylor & Francis
Objective As novice teen drivers are uniquely susceptible to the harmful effects of secondary
activities on cellphones, 38 states and Washington DC have banned all types of cellphone …

How many crashes does cellphone use contribute to? Population attributable risk of cellphone use while driving

F Guo, D Lu - Journal of safety research, 2022 - Elsevier
Background: Cellphone distraction is a major contributing factor for traffic crashes, a leading
cause of death worldwide. The novel naturalistic driving study (NDS) study with continuously …