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Improved Traffic Flow Efficiency during Yellow Interval at Signalized Intersections Using a Smart Countdown System
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Institute of Electrical and Electronics Engineers
, 2022 , Article)
Inadequate and unnecessary stopping at signalized intersections reduces operational efficiency. The study aims at investigating the effect of a smart advanced warning system on driving behavior and the efficiency of ...
Delay or travel time information? The impact of advanced traveler information systems on drivers’ behavior before freeway work zones
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Elsevier
, 2022 , Article)
Peak travel times contribute to congestion formation at freeway work zones. Advanced Traveler Information Systems (ATIS) can inform drivers in real-time about the delays and travel times en-route and can provide information ...
The impact of rural expressway environments: drivers’ attention allocation to variable message signs
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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
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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 ...
Dynamic travel information strategies in advance traveler information systems and their effect on route choices along highways
(
Elsevier
, 2020 , Article)
Advance Traveler Information Systems (ATIS) inform drivers about traffic incidences and expected travel times/ delays en-route. An online computer study was conducted in Qatar to investigate drivers' willingness ...
Driving behavior classification at signalized intersections using vehicle kinematics: Application of unsupervised machine learning
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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 ...
Empirical evaluation of drivers’ start-up behavior at signalized intersection using driving simulator
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Elsevier
, 2020 , Article)
Start-up behavior at signalized intersection mainly depends on perception reaction time of drivers to the green phase. This study investigated the start-up behavior at signalized intersections by considering reaction time, ...
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 ...
Optical pavement treatments and their impact on speed and lateral position at transition zones: A driving simulator study
(
Elsevier
, 2021 , Article)
Transition zones are a road section where posted speed drops from higher to lower limits. Due to the sudden changes in posted speed limits and road environment, drivers usually do not adapt to the posted speed limits and ...
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 ...