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Variable Speed Limit Strategies Based on the Macro Hierarchical Control Traffic Flow Model
The superior traffic control system can promote the efficiency of mainstream expressway. As the effective method to smooth traffic system, the variable speed limits (VSL) strategies are discussed in an expressway traffic network. The dynamic OD estimation model is used to produce the real traffic in...
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Published in: | Journal of advanced transportation 2021-06, Vol.2021, p.1-10 |
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creator | Li, Shubin Wang, Tao Ren, Hualing Shi, Baiying Kong, Xiangke Chai, Jianyong Wang, Xuejuan |
description | The superior traffic control system can promote the efficiency of mainstream expressway. As the effective method to smooth traffic system, the variable speed limits (VSL) strategies are discussed in an expressway traffic network. The dynamic OD estimation model is used to produce the real traffic information, which is loaded to the traffic network. Then, the prediction information of traffic variables and the VSL strategy are introduced to macro hierarchical control traffic flow model. A solution algorithm is further developed to find the optimal parameters of VSL by minimizing the total travel time and delay. The simulation results show that the proposed strategy perfects well, the traffic congestion is effectively alleviated, and the traffic efficiency of the road section is significantly improved. This framework can be adopted by transit managers for traffic efficiency. |
doi_str_mv | 10.1155/2021/9910097 |
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As the effective method to smooth traffic system, the variable speed limits (VSL) strategies are discussed in an expressway traffic network. The dynamic OD estimation model is used to produce the real traffic information, which is loaded to the traffic network. Then, the prediction information of traffic variables and the VSL strategy are introduced to macro hierarchical control traffic flow model. A solution algorithm is further developed to find the optimal parameters of VSL by minimizing the total travel time and delay. The simulation results show that the proposed strategy perfects well, the traffic congestion is effectively alleviated, and the traffic efficiency of the road section is significantly improved. This framework can be adopted by transit managers for traffic efficiency.</description><identifier>ISSN: 0197-6729</identifier><identifier>EISSN: 2042-3195</identifier><identifier>DOI: 10.1155/2021/9910097</identifier><language>eng</language><publisher>London: Hindawi</publisher><subject>Algorithms ; Analysis ; Control algorithms ; Control systems ; Efficiency ; Energy consumption ; Highways ; Kalman filters ; Network management systems ; Optimization ; Roads & highways ; Simulation ; Software ; Speed limits ; Traffic congestion ; Traffic control ; Traffic engineering ; Traffic flow ; Traffic information ; Traffic management ; Traffic models ; Traffic speed ; Transportation ; Travel time ; Vehicles</subject><ispartof>Journal of advanced transportation, 2021-06, Vol.2021, p.1-10</ispartof><rights>Copyright © 2021 Shubin Li et al.</rights><rights>COPYRIGHT 2021 John Wiley & Sons, Inc.</rights><rights>Copyright © 2021 Shubin Li et al. 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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-c447t-63c276ace8588fd1d510a2bf2c5e1f8b16b8405e519405bb43fe81f7ae0837d83</citedby><cites>FETCH-LOGICAL-c447t-63c276ace8588fd1d510a2bf2c5e1f8b16b8405e519405bb43fe81f7ae0837d83</cites><orcidid>0000-0002-5339-4782 ; 0000-0002-0151-1107 ; 0000-0002-5929-1709 ; 0000-0002-8007-8080 ; 0000-0001-9828-2840 ; 0000-0002-1885-4915 ; 0000-0003-0874-6344</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2548294555/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2548294555?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11688,25753,27924,27925,36060,37012,44363,44590,74767,74998</link.rule.ids></links><search><contributor>Wang, Yong</contributor><contributor>Yong Wang</contributor><creatorcontrib>Li, Shubin</creatorcontrib><creatorcontrib>Wang, Tao</creatorcontrib><creatorcontrib>Ren, Hualing</creatorcontrib><creatorcontrib>Shi, Baiying</creatorcontrib><creatorcontrib>Kong, Xiangke</creatorcontrib><creatorcontrib>Chai, Jianyong</creatorcontrib><creatorcontrib>Wang, Xuejuan</creatorcontrib><title>Variable Speed Limit Strategies Based on the Macro Hierarchical Control Traffic Flow Model</title><title>Journal of advanced transportation</title><description>The superior traffic control system can promote the efficiency of mainstream expressway. As the effective method to smooth traffic system, the variable speed limits (VSL) strategies are discussed in an expressway traffic network. The dynamic OD estimation model is used to produce the real traffic information, which is loaded to the traffic network. Then, the prediction information of traffic variables and the VSL strategy are introduced to macro hierarchical control traffic flow model. A solution algorithm is further developed to find the optimal parameters of VSL by minimizing the total travel time and delay. The simulation results show that the proposed strategy perfects well, the traffic congestion is effectively alleviated, and the traffic efficiency of the road section is significantly improved. This framework can be adopted by transit managers for traffic efficiency.</description><subject>Algorithms</subject><subject>Analysis</subject><subject>Control algorithms</subject><subject>Control systems</subject><subject>Efficiency</subject><subject>Energy consumption</subject><subject>Highways</subject><subject>Kalman filters</subject><subject>Network management systems</subject><subject>Optimization</subject><subject>Roads & highways</subject><subject>Simulation</subject><subject>Software</subject><subject>Speed limits</subject><subject>Traffic congestion</subject><subject>Traffic control</subject><subject>Traffic engineering</subject><subject>Traffic flow</subject><subject>Traffic information</subject><subject>Traffic management</subject><subject>Traffic models</subject><subject>Traffic speed</subject><subject>Transportation</subject><subject>Travel 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Speed Limit Strategies Based on the Macro Hierarchical Control Traffic Flow Model</title><author>Li, Shubin ; Wang, Tao ; Ren, Hualing ; Shi, Baiying ; Kong, Xiangke ; Chai, Jianyong ; Wang, Xuejuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-63c276ace8588fd1d510a2bf2c5e1f8b16b8405e519405bb43fe81f7ae0837d83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Analysis</topic><topic>Control algorithms</topic><topic>Control systems</topic><topic>Efficiency</topic><topic>Energy consumption</topic><topic>Highways</topic><topic>Kalman filters</topic><topic>Network management systems</topic><topic>Optimization</topic><topic>Roads & highways</topic><topic>Simulation</topic><topic>Software</topic><topic>Speed limits</topic><topic>Traffic congestion</topic><topic>Traffic control</topic><topic>Traffic engineering</topic><topic>Traffic 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Speed Limit Strategies Based on the Macro Hierarchical Control Traffic Flow Model</atitle><jtitle>Journal of advanced transportation</jtitle><date>2021-06-24</date><risdate>2021</risdate><volume>2021</volume><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>0197-6729</issn><eissn>2042-3195</eissn><abstract>The superior traffic control system can promote the efficiency of mainstream expressway. 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subjects | Algorithms Analysis Control algorithms Control systems Efficiency Energy consumption Highways Kalman filters Network management systems Optimization Roads & highways Simulation Software Speed limits Traffic congestion Traffic control Traffic engineering Traffic flow Traffic information Traffic management Traffic models Traffic speed Transportation Travel time Vehicles |
title | Variable Speed Limit Strategies Based on the Macro Hierarchical Control Traffic Flow Model |
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