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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 ...
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 ...
Analysis of Stopping Sight Distance (SSD) Parameters: A Review Study
(
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 ...
Analysis of gap parameters for the estimation of single lane roundabouts' capacity in the State of Qatar
(
Elsevier B.V.
, 2021 , Conference Paper)
Entry capacity is an important parameter for evaluating the roundabout performance. In general, entry capacity is influenced by three gap parameters: critical gap, follow-up time and minimum headway of circulating vehicles. ...
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 ...
Improved driver behaviour at bus stops on local roads: Comparison of different treatments
(
Elsevier
, 2022 , Article)
Every day, millions of students use school bus as a mean of transportation to and from schools. Nevertheless, most of the school bus related crashes occur at or near bus stops. The overtaking of stopped school buses during ...
Aberrant driving behaviors as mediators in the relationship between driving anger patterns and crashes among taxi drivers: An investigation in a complex cultural context
(
Taylor & Francis
, 2023 , Article)
Objective: Taxis have become an integrated component of Qatar’s urban transportation network due to their convenience, comfort, and flexibility. Qatar has seen an uptick in the demand for professional taxi drivers. Most ...
Do detection-based warning strategies improve vehicle yielding behavior at uncontrolled midblock crosswalks?
(
Elsevier Ltd
, 2021 , Article)
Pedestrians being the most vulnerable road users account for a large proportion of injuries and fatalities from road traffic crashes. Pedestrians are involved in around one-third of the whole fatalities coming from the ...
Improved traffic safety at work zones through animation-based variable message signs
(
Elsevier Ltd
, 2021 , Article)
Work zones are established to provide a safe environment for all road users and road workers. However, based on the statistics, they can be considered as crash prone zones due to changes in the road alignments and the ...