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Can automated driving prevent crashes with distracted Pedestrians? An exploration of motion planning at unsignalized Mid-block crosswalks
(
Elsevier
, 2022 , Article)
Pedestrian distraction may provoke severe difficulties in automated vehicle (AV) control, which may significantly affect the safety performance of AVs, especially at unsignalized mid-block crosswalks (UMCs). However, there ...
A reliability-based weather-responsive variable speed limit system to improve the safety of rural highways
(
Elsevier
, 2022 , Article)
Weather-responsive Variable Speed Limit (WRVSL) systems treat speed limits as weather-dependent random variables, as opposed to the conventional static speed limits. This study (i) evaluates drivers’ response to a fixed ...
The impact of rural expressway environments: drivers’ attention allocation to variable message signs
(
Taylor & Francis
, 2022 , Article)
Variable Message Signs (VMS) are implemented at varying locations of the expressway. In this study, we compared the drivers’ attention allocation to a ‘drive safely’ message on several VMS gantries that were located at six ...
Road safety status during COVID-19 pandemic: exploring public and road safety expert’s opinions
(
Taylor & Francis
, 2022 , Article)
The main objective of this study is to investigate the status of traffic safety and the public perception of traffic safety during the during COVID-19 pandemic. Three different data sets are used in this study: road crash ...
A study on the determinants of Ethiopian minibus taxi drivers' speeding behaviour: An application of the 'major theorists' model
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Elsevier B.V.
, 2022 , Article)
Speeding is the most common road safety problem that results in many traffic accidents in Addis Ababa, Ethiopia. Minibus taxis substantially contribute to speed-related road traffic crashes in Addis Ababa. This study aimed ...
Driving behavior classification at signalized intersections using vehicle kinematics: Application of unsupervised machine learning
(
Taylor & Francis
, 2022 , Article)
Driving behavior is considered as a unique driving habit of each driver and has a significant impact on road safety. This study proposed a novel data-driven Machine Learning framework that can classify driving behavior at ...
Examining the role of road safety audits worldwide: exploring road safety expert’s opinions
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Taylor & Francis
, 2022 , Article)
Road safety audit (RSA) is a method used to proactively identify safety risks in road projects from planning, design, and construction stages. The effectiveness of the implementation of RSAs varies across the globe. This ...
Analysis of Stopping Sight Distance (SSD) Parameters: A Review Study
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Elsevier B.V.
, 2022 , Article)
Stopping sight distance (SSD) is one of the important elements in geometric highway design, which relies on the two key parameters, i.e., vehicle braking characteristics and drivers' reaction time. Previous studies have ...
Modelling speed behaviour in rural highways: Safety analysis of driving under adverse road-weather conditions
(
PLOS
, 2021 , Article)
This study proposes a methodical approach to model desired speed distributions under different road-weather and traffic conditions followed by identification of road-weather conditions with potentially higher safety risks ...
Application of Unsupervised Machine Learning Classification for the Analysis of Driver Behavior in Work Zones in the State of Qatar
(
Elsevier
, 2022 , Article)
Work zone areas are commonly known as crash-prone areas. Thus, they usually receive high priority by road operators as drivers and workers have higher chances of being involved in road crashes. The paper aims to investigate ...