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Effect of U-turns and heavy vehicles on the saturation flow rates of left-turn lanes at signalized intersections
(
MDPI
, 2020 , Article)
© 2020 by the authors. The Saturation Flow Rate (SFR) is a primary measure that can be used when estimating intersection capacity. Further, the efficiency of signal control parameters also depends on the accuracy of assumed ...
Modeling the Impact of Downstream Conditions on Discharging Behavior of Vehicles at Signalized Intersections Using Micro-Simulation
(
Springer
, 2020 , Article)
© 2020, King Fahd University of Petroleum & Minerals. In areas where traffic demand is high and intersections are closely spaced, the drivers’ desire for quick discharge is demotivated by negative downstream conditions, ...
Modeling Trajectories and Trajectory Variation of Turning Vehicles at Signalized Intersections
(
Institute of Electrical and Electronics Engineers
, 2020 , Article)
© 2013 IEEE. Information on the trajectories of turning vehicles at signalized intersections can be used in numerous applications, such as movement planning of autonomous vehicles, realistic representation of surrounding ...
Modeling Traffic Flows on Urban Arterials Considering the Downstream Influence
(
SAGE Publications
, 2020 , Article)
© National Academy of Sciences: Transportation Research Board 2020. Arterials are important transportation facilities, undertaking the two functions of mobility and accessibility. In the urban area, signalized intersections ...
Modeling the Impact of Downstream Conditions on Discharging Behavior of Vehicles at Signalized Intersections Using Micro-Simulation
(
Springer
, 2020 , Article)
In areas where traffic demand is high and intersections are closely spaced, the drivers’ desire for quick discharge is demotivated by negative downstream conditions, such as long queues and poorly coordinated traffic ...
Extraction of Vehicle Turning Trajectories at Signalized Intersections Using Convolutional Neural Networks
(
SpringerLink
, 2020 , Article)
This paper aims at developing a convolutional neural network (CNN)-based tool that can automatically detect the left-turning vehicles (right-hand traffic rule) at signalized intersections and extract their trajectories ...
Improved Traffic Flow Efficiency during Yellow Interval at Signalized Intersections Using a Smart Countdown System
(
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
(
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 ...
Injury burden in individuals aged 50 years or older in the Eastern Mediterranean region, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019
(
Elsevier
, 2022 , Article)
BackgroundInjury poses a major threat to health and longevity in adults aged 50 years or older. The increased life expectancy in the Eastern Mediterranean region warrants a further understanding of the ageing population's ...
A multi-country survey for collecting and analyzing facts related to road traffic safety: Legislation, enforcement, and education for safer drivers
(
Elsevier
, 2022 , Article)
Road traffic safety is a crucial global objective. It is important for every country to review and improve road safety policies and strategies, based on an objective understanding of its own road traffic safety situation ...