An Adaptive Signal Control Method with Optimal Detector Locations

The adaptive traffic signal control system is a key component of intelligent transportation systems and has a primary role in effectively reducing traffic congestion. The high costs of implementation and maintenance limit the applicability of the adaptive traffic signal control system, especially in...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sustainability 2019-01, Vol.11 (3), p.727
Hauptverfasser: Zhu, Senlai, Guo, Ke, Guo, Yuntao, Tao, Huairen, Shi, Quan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 3
container_start_page 727
container_title Sustainability
container_volume 11
creator Zhu, Senlai
Guo, Ke
Guo, Yuntao
Tao, Huairen
Shi, Quan
description The adaptive traffic signal control system is a key component of intelligent transportation systems and has a primary role in effectively reducing traffic congestion. The high costs of implementation and maintenance limit the applicability of the adaptive traffic signal control system, especially in developing countries. This paper proposes a low-cost adaptive signal control method that is easy to implement. Two detectors are installed in each vehicle lane at an optimal location determined by the proposed method to detect green and red redundancy time, based on which the original signal timing is adjusted through a signal controller. The proposed method is evaluated through case studies with low and high volume-to-capacity ratio intersections. The results show that the proposed adaptive signal control method can significantly reduce total traffic delay at intersections.
doi_str_mv 10.3390/su11030727
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2548839521</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2548839521</sourcerecordid><originalsourceid>FETCH-LOGICAL-c295t-4a5b3ef8173c5436aa285838728e484cd1b6f84ea41d0e7f7d764d9f2da7c1943</originalsourceid><addsrcrecordid>eNpNkE9LxDAUxIMouKx78RMEvAnVvPxp0mOpugqVPajnkk1St0ttapIqfnsrK-hc3sD8eAyD0DmQK8YKch0nAMKIpPIILSiRkAER5PifP0WrGPdkFmNQQL5AZTng0uoxdR8OP3Wvg-5x5YcUfI8fXdp5iz-7tMObmXibsxuXnEk-4NobnTo_xDN00uo-utXvXaKXu9vn6j6rN-uHqqwzQwuRMq7FlrlWgWRGcJZrTZVQTEmqHFfcWNjmreJOc7DEyVZamXNbtNRqaaDgbIkuDn_H4N8nF1Oz91OY-8aGCq4UKwSFmbo8UCb4GINrmzHMxcNXA6T5Wan5W4l9A8tpWC8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2548839521</pqid></control><display><type>article</type><title>An Adaptive Signal Control Method with Optimal Detector Locations</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Zhu, Senlai ; Guo, Ke ; Guo, Yuntao ; Tao, Huairen ; Shi, Quan</creator><creatorcontrib>Zhu, Senlai ; Guo, Ke ; Guo, Yuntao ; Tao, Huairen ; Shi, Quan</creatorcontrib><description>The adaptive traffic signal control system is a key component of intelligent transportation systems and has a primary role in effectively reducing traffic congestion. The high costs of implementation and maintenance limit the applicability of the adaptive traffic signal control system, especially in developing countries. This paper proposes a low-cost adaptive signal control method that is easy to implement. Two detectors are installed in each vehicle lane at an optimal location determined by the proposed method to detect green and red redundancy time, based on which the original signal timing is adjusted through a signal controller. The proposed method is evaluated through case studies with low and high volume-to-capacity ratio intersections. The results show that the proposed adaptive signal control method can significantly reduce total traffic delay at intersections.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su11030727</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Artificial intelligence ; Control methods ; Control systems ; Controllers ; Developing countries ; Intelligent transportation systems ; LDCs ; Maintenance costs ; Methods ; Sensors ; Sustainability ; System effectiveness ; Traffic congestion ; Traffic control ; Traffic delay ; Traffic flow ; Traffic intersections ; Traffic signals</subject><ispartof>Sustainability, 2019-01, Vol.11 (3), p.727</ispartof><rights>2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-4a5b3ef8173c5436aa285838728e484cd1b6f84ea41d0e7f7d764d9f2da7c1943</citedby><cites>FETCH-LOGICAL-c295t-4a5b3ef8173c5436aa285838728e484cd1b6f84ea41d0e7f7d764d9f2da7c1943</cites><orcidid>0000-0002-6138-5130</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Zhu, Senlai</creatorcontrib><creatorcontrib>Guo, Ke</creatorcontrib><creatorcontrib>Guo, Yuntao</creatorcontrib><creatorcontrib>Tao, Huairen</creatorcontrib><creatorcontrib>Shi, Quan</creatorcontrib><title>An Adaptive Signal Control Method with Optimal Detector Locations</title><title>Sustainability</title><description>The adaptive traffic signal control system is a key component of intelligent transportation systems and has a primary role in effectively reducing traffic congestion. The high costs of implementation and maintenance limit the applicability of the adaptive traffic signal control system, especially in developing countries. This paper proposes a low-cost adaptive signal control method that is easy to implement. Two detectors are installed in each vehicle lane at an optimal location determined by the proposed method to detect green and red redundancy time, based on which the original signal timing is adjusted through a signal controller. The proposed method is evaluated through case studies with low and high volume-to-capacity ratio intersections. The results show that the proposed adaptive signal control method can significantly reduce total traffic delay at intersections.</description><subject>Artificial intelligence</subject><subject>Control methods</subject><subject>Control systems</subject><subject>Controllers</subject><subject>Developing countries</subject><subject>Intelligent transportation systems</subject><subject>LDCs</subject><subject>Maintenance costs</subject><subject>Methods</subject><subject>Sensors</subject><subject>Sustainability</subject><subject>System effectiveness</subject><subject>Traffic congestion</subject><subject>Traffic control</subject><subject>Traffic delay</subject><subject>Traffic flow</subject><subject>Traffic intersections</subject><subject>Traffic signals</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkE9LxDAUxIMouKx78RMEvAnVvPxp0mOpugqVPajnkk1St0ttapIqfnsrK-hc3sD8eAyD0DmQK8YKch0nAMKIpPIILSiRkAER5PifP0WrGPdkFmNQQL5AZTng0uoxdR8OP3Wvg-5x5YcUfI8fXdp5iz-7tMObmXibsxuXnEk-4NobnTo_xDN00uo-utXvXaKXu9vn6j6rN-uHqqwzQwuRMq7FlrlWgWRGcJZrTZVQTEmqHFfcWNjmreJOc7DEyVZamXNbtNRqaaDgbIkuDn_H4N8nF1Oz91OY-8aGCq4UKwSFmbo8UCb4GINrmzHMxcNXA6T5Wan5W4l9A8tpWC8</recordid><startdate>20190130</startdate><enddate>20190130</enddate><creator>Zhu, Senlai</creator><creator>Guo, Ke</creator><creator>Guo, Yuntao</creator><creator>Tao, Huairen</creator><creator>Shi, Quan</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-6138-5130</orcidid></search><sort><creationdate>20190130</creationdate><title>An Adaptive Signal Control Method with Optimal Detector Locations</title><author>Zhu, Senlai ; Guo, Ke ; Guo, Yuntao ; Tao, Huairen ; Shi, Quan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-4a5b3ef8173c5436aa285838728e484cd1b6f84ea41d0e7f7d764d9f2da7c1943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Artificial intelligence</topic><topic>Control methods</topic><topic>Control systems</topic><topic>Controllers</topic><topic>Developing countries</topic><topic>Intelligent transportation systems</topic><topic>LDCs</topic><topic>Maintenance costs</topic><topic>Methods</topic><topic>Sensors</topic><topic>Sustainability</topic><topic>System effectiveness</topic><topic>Traffic congestion</topic><topic>Traffic control</topic><topic>Traffic delay</topic><topic>Traffic flow</topic><topic>Traffic intersections</topic><topic>Traffic signals</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhu, Senlai</creatorcontrib><creatorcontrib>Guo, Ke</creatorcontrib><creatorcontrib>Guo, Yuntao</creatorcontrib><creatorcontrib>Tao, Huairen</creatorcontrib><creatorcontrib>Shi, Quan</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhu, Senlai</au><au>Guo, Ke</au><au>Guo, Yuntao</au><au>Tao, Huairen</au><au>Shi, Quan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Adaptive Signal Control Method with Optimal Detector Locations</atitle><jtitle>Sustainability</jtitle><date>2019-01-30</date><risdate>2019</risdate><volume>11</volume><issue>3</issue><spage>727</spage><pages>727-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>The adaptive traffic signal control system is a key component of intelligent transportation systems and has a primary role in effectively reducing traffic congestion. The high costs of implementation and maintenance limit the applicability of the adaptive traffic signal control system, especially in developing countries. This paper proposes a low-cost adaptive signal control method that is easy to implement. Two detectors are installed in each vehicle lane at an optimal location determined by the proposed method to detect green and red redundancy time, based on which the original signal timing is adjusted through a signal controller. The proposed method is evaluated through case studies with low and high volume-to-capacity ratio intersections. The results show that the proposed adaptive signal control method can significantly reduce total traffic delay at intersections.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su11030727</doi><orcidid>https://orcid.org/0000-0002-6138-5130</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2071-1050
ispartof Sustainability, 2019-01, Vol.11 (3), p.727
issn 2071-1050
2071-1050
language eng
recordid cdi_proquest_journals_2548839521
source MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals
subjects Artificial intelligence
Control methods
Control systems
Controllers
Developing countries
Intelligent transportation systems
LDCs
Maintenance costs
Methods
Sensors
Sustainability
System effectiveness
Traffic congestion
Traffic control
Traffic delay
Traffic flow
Traffic intersections
Traffic signals
title An Adaptive Signal Control Method with Optimal Detector Locations
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T08%3A21%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20Adaptive%20Signal%20Control%20Method%20with%20Optimal%20Detector%20Locations&rft.jtitle=Sustainability&rft.au=Zhu,%20Senlai&rft.date=2019-01-30&rft.volume=11&rft.issue=3&rft.spage=727&rft.pages=727-&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su11030727&rft_dat=%3Cproquest_cross%3E2548839521%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2548839521&rft_id=info:pmid/&rfr_iscdi=true