Back-Pressure Traffic Signal Control With Fixed and Adaptive Routing for Urban Vehicular Networks
City-wide control and coordination of traffic flow can improve efficiency, fuel consumption, and safety. We consider the problem of controlling traffic lights under fixed and adaptive routing of vehicles in urban road networks. Multicommodity back-pressure algorithms, originally developed for routin...
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Veröffentlicht in: | IEEE transactions on intelligent transportation systems 2016-08, Vol.17 (8), p.2134-2143 |
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creator | Zaidi, Ali A. Kulcsar, Balazs Wymeersch, Henk |
description | City-wide control and coordination of traffic flow can improve efficiency, fuel consumption, and safety. We consider the problem of controlling traffic lights under fixed and adaptive routing of vehicles in urban road networks. Multicommodity back-pressure algorithms, originally developed for routing and scheduling in communication networks, are applied to road networks to control traffic lights and adaptively reroute vehicles. The performance of the algorithms is analyzed using a microscopic traffic simulator. The results demonstrate that the proposed multicommodity and adaptive routing algorithms provide significant improvement over a fixed schedule controller and a single-commodity back-pressure controller in terms of various performance metrics, including queue length, trips completed, travel times, and fair traffic distribution. |
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We consider the problem of controlling traffic lights under fixed and adaptive routing of vehicles in urban road networks. Multicommodity back-pressure algorithms, originally developed for routing and scheduling in communication networks, are applied to road networks to control traffic lights and adaptively reroute vehicles. The performance of the algorithms is analyzed using a microscopic traffic simulator. 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(IEEE) 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c445t-f174e95bdc55ca0c5eb2877e20d4b0f0fb3ab93a942f2a98f41fa833eea6f053</citedby><cites>FETCH-LOGICAL-c445t-f174e95bdc55ca0c5eb2877e20d4b0f0fb3ab93a942f2a98f41fa833eea6f053</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7444157$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,796,885,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7444157$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://research.chalmers.se/publication/512008$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Zaidi, Ali A.</creatorcontrib><creatorcontrib>Kulcsar, Balazs</creatorcontrib><creatorcontrib>Wymeersch, Henk</creatorcontrib><title>Back-Pressure Traffic Signal Control With Fixed and Adaptive Routing for Urban Vehicular Networks</title><title>IEEE transactions on intelligent transportation systems</title><addtitle>TITS</addtitle><description>City-wide control and coordination of traffic flow can improve efficiency, fuel consumption, and safety. We consider the problem of controlling traffic lights under fixed and adaptive routing of vehicles in urban road networks. Multicommodity back-pressure algorithms, originally developed for routing and scheduling in communication networks, are applied to road networks to control traffic lights and adaptively reroute vehicles. The performance of the algorithms is analyzed using a microscopic traffic simulator. The results demonstrate that the proposed multicommodity and adaptive routing algorithms provide significant improvement over a fixed schedule controller and a single-commodity back-pressure controller in terms of various performance metrics, including queue length, trips completed, travel times, and fair traffic distribution.</description><subject>Adaptive systems</subject><subject>Algorithms</subject><subject>Back pressure control</subject><subject>communication system traffic control</subject><subject>Communication Systems</subject><subject>Control Engineering</subject><subject>Controllers</subject><subject>fixed and adaptive vehicle routing</subject><subject>Junctions</subject><subject>Kommunikationssystem</subject><subject>queueing analysis</subject><subject>Real-time systems</subject><subject>Reglerteknik</subject><subject>Roads</subject><subject>Route planning</subject><subject>Routing</subject><subject>Scheduling</subject><subject>traffic control</subject><subject>Traffic engineering</subject><subject>Traffic flow</subject><subject>traffic signaling</subject><subject>Traffic signals</subject><subject>Transport Systems and Logistics</subject><subject>Transportteknik och logistik</subject><subject>Vehicles</subject><issn>1524-9050</issn><issn>1558-0016</issn><issn>1558-0016</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkUFv1DAQhSMEEqXwAxAXS1y4ZOtx7Ng5lhWFShUgNsDRmjjjrttsvLUTCv--WW3VA6cZjb73NDOvKN4CXwHw5qy9bDcrwaFeCSVACvmsOAGlTMmX2fNDL2TZcMVfFq9yvlmmUgGcFPgR3W35PVHOcyLWJvQ-OLYJ1yMObB3HKcWB_Q7Tll2Ev9QzHHt23uN-Cn-I_YjzFMZr5mNiP1OHI_tF2-DmARP7StN9TLf5dfHC45DpzWM9LdqLT-36S3n17fPl-vyqdFKqqfSgJTWq651SDrlT1AmjNQney4577rsKu6bCRgovsDFegkdTVURYe66q02JztM33tJ87u09hh-mfjRjsch1hclvrtjjsKGWbyaIBqEE6q-u6t7I2YJvKaOu97DrveKWxWVw_HF33Kd7NlCe7C9nRMOBIcc4WTKVqrpXWC_r-P_Qmzmn54oHiBowSNSwUHCmXYs6J_NOiwO0hSXtI0h6StI9JLpp3R00goideSylB6eoBP5aaBA</recordid><startdate>20160801</startdate><enddate>20160801</enddate><creator>Zaidi, Ali A.</creator><creator>Kulcsar, Balazs</creator><creator>Wymeersch, Henk</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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We consider the problem of controlling traffic lights under fixed and adaptive routing of vehicles in urban road networks. Multicommodity back-pressure algorithms, originally developed for routing and scheduling in communication networks, are applied to road networks to control traffic lights and adaptively reroute vehicles. The performance of the algorithms is analyzed using a microscopic traffic simulator. The results demonstrate that the proposed multicommodity and adaptive routing algorithms provide significant improvement over a fixed schedule controller and a single-commodity back-pressure controller in terms of various performance metrics, including queue length, trips completed, travel times, and fair traffic distribution.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TITS.2016.2521424</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adaptive systems Algorithms Back pressure control communication system traffic control Communication Systems Control Engineering Controllers fixed and adaptive vehicle routing Junctions Kommunikationssystem queueing analysis Real-time systems Reglerteknik Roads Route planning Routing Scheduling traffic control Traffic engineering Traffic flow traffic signaling Traffic signals Transport Systems and Logistics Transportteknik och logistik Vehicles |
title | Back-Pressure Traffic Signal Control With Fixed and Adaptive Routing for Urban Vehicular Networks |
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