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Effect of U-turns and heavy vehicles on the saturation flow rates of left-turn lanes at signalized intersections
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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 ...
Innovative countermeasures for red light running prevention at signalized intersections: A driving simulator study
(
Elsevier
, 2020 , Article)
The change interval, which includes the yellow and all-red times, plays a crucial role in the safety and operation of signalized intersections. During this interval, drivers not only need to decide to stop or go but also ...
Introducing a multi-variate classification method: Risky driving acceptance among different heterogeneous driver sub-cultures
(
Elsevier
, 2020 , Article)
Introduction: Heterogeneous driving populations with many different origins are likely to have various sub-cultures that comprise of drivers with shared driver characteristics, most likely with dissimilar traffic safety ...
Effect of ADHD traits in young drivers on self-reported deviant driving behaviours: An exploratory study in the Arab gulf region
(
Elsevier
, 2020 , Article)
IntroductionAttention Deficit Hyperactivity Disorder (ADHD) can be defined in two key traits (inattention and hyperactivity-impulsivity), which can effect day-to-day capabilities such as driving performance. MethodsIn this ...
Investigating the Efficiency and Safety of Signalized Intersections Under Mixed Flow Conditions of Autonomous and Human-Driven Vehicles
(
Springer
, 2020 , Article)
© 2020, King Fahd University of Petroleum & Minerals. Field experiments of autonomous driving systems have already been started in several countries around the world. However, investigations on the performance of signalized ...