Traffic signal management using maximum flow approach for consecutive intersections

Traffic signal management using maximum flow approach for consecutive intersections

© 2018 IEEE Urban streets are characterized by continuous intersections. When there are traffic jams, wide areas are affected. Among many attempts to solve this problem, one is Traffic Signal Management. Our approach focuses on traffic signal control for consecutive intersections. First, we transfor...

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Main Authors: Apinya Ngaosai, Jakarin Chawachat
Format: Conference Proceeding
Published: 2019
Subjects:
Computer Science
Engineering
Mathematics
Physics and Astronomy
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062228273&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/63624
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Institution: Chiang Mai University
id th-cmuir.6653943832-63624
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spelling th-cmuir.6653943832-636242019-03-18T02:25:49Z Traffic signal management using maximum flow approach for consecutive intersections Apinya Ngaosai Jakarin Chawachat Computer Science Engineering Mathematics Physics and Astronomy © 2018 IEEE Urban streets are characterized by continuous intersections. When there are traffic jams, wide areas are affected. Among many attempts to solve this problem, one is Traffic Signal Management. Our approach focuses on traffic signal control for consecutive intersections. First, we transform intersections to a flow network and modify density of streets to capacity in a flow network. Then, we calculate a maximum flow. After that, we calculate the flow which passes outbound streets of each inbound street and set how long a green light signal turn on at each inbound street. After many experiments, when at least half of inbound streets are high-density, we found that using our approach results in higher traffic flow than fixed-time and video processing approach. 2019-03-18T02:22:08Z 2019-03-18T02:22:08Z 2019-01-18 Conference Proceeding 2-s2.0-85062228273 10.1109/ECTICon.2018.8620034 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062228273&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/63624
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Engineering
Mathematics
Physics and Astronomy
spellingShingle Computer Science
Engineering
Mathematics
Physics and Astronomy
Apinya Ngaosai
Jakarin Chawachat
Traffic signal management using maximum flow approach for consecutive intersections
description © 2018 IEEE Urban streets are characterized by continuous intersections. When there are traffic jams, wide areas are affected. Among many attempts to solve this problem, one is Traffic Signal Management. Our approach focuses on traffic signal control for consecutive intersections. First, we transform intersections to a flow network and modify density of streets to capacity in a flow network. Then, we calculate a maximum flow. After that, we calculate the flow which passes outbound streets of each inbound street and set how long a green light signal turn on at each inbound street. After many experiments, when at least half of inbound streets are high-density, we found that using our approach results in higher traffic flow than fixed-time and video processing approach.
format Conference Proceeding
author Apinya Ngaosai
Jakarin Chawachat
author_facet Apinya Ngaosai
Jakarin Chawachat
author_sort Apinya Ngaosai
title Traffic signal management using maximum flow approach for consecutive intersections
title_short Traffic signal management using maximum flow approach for consecutive intersections
title_full Traffic signal management using maximum flow approach for consecutive intersections
title_fullStr Traffic signal management using maximum flow approach for consecutive intersections
title_full_unstemmed Traffic signal management using maximum flow approach for consecutive intersections
title_sort traffic signal management using maximum flow approach for consecutive intersections
publishDate 2019
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062228273&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/63624
_version_ 1681425929972219904

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