Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8203
Title: Adaptive traffic signal control to reduce delay time at a single intersection point
Authors: Cav, C.
Çolak, Abdullah
Ünver, N.F.
Keywords: Adaptive traffic signal
Traffic signal control
Intersections
Street traffic control
Traffic congestion
Vehicle to vehicle communications
Vehicles
Adaptive Management
Adaptive traffic signal
Adaptive traffic signal control
Delay Time
Intersection points
Number of vehicles
Single intersections
Traffic densities
Traffic light
Traffic signal control
Traffic signals
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: The increase in the number of vehicles in the traffic leads to traffic congestion and high delay times at key intersection points. To reduce the traffic density at intersections, researchers focus on the adaptive management of traffic lights according to the instantaneous state of the traffic. In this study, we propose two simple and easy to implement adaptive traffic signal management protocols for a single intersection point. These protocols use the vehicle to infrastructure communication technologies to gather information from the vehicles at an intersection, and dynamically adjust the traffic signal light duration or sequence or both. The aim of the study is to reduce the average waiting time at the intersection. The proposed protocols are tested through simulation. Results show that frequently checking the intersection state and determining the signal sequence adaptively lead to significant improvement in average delay time. Our best policy reduces the waiting time on average 80% for all vehicles, 81% for the left turn queue, and 68% for the straight pass and right turn queues. © 2021 IEEE.
Description: Kocaeli University;Kocaeli University Technopark
2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021 -- 25 August 2021 through 27 August 2021 -- 172175
URI: https://doi.org/10.1109/INISTA52262.2021.9548610
https://hdl.handle.net/20.500.11851/8203
ISBN: 9781665436038
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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