Theory and Simulation for Traffic Characteristics on the Highway with a Slowdown Section
We study the traffic characteristics on a single-lane highway with a slowdown section using the deterministic cellular automaton (CA) model. Based on the theoretical analysis, the relationships among local mean densities, velocities, traffic fluxes, and global densities are derived. The results show...
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| Veröffentlicht in: | Computational Intelligence and Neuroscience 2015-01, Vol.2015 (2015), p.1121-1128 |
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| creator | Wei, Wei Rong, Yaping Mao, Baohua Xu, Dejie |
| description | We study the traffic characteristics on a single-lane highway with a slowdown section using the deterministic cellular automaton (CA) model. Based on the theoretical analysis, the relationships among local mean densities, velocities, traffic fluxes, and global densities are derived. The results show that two critical densities exist in the evolutionary process of traffic state, and they are significant demarcation points for traffic phase transition. Furthermore, the changing laws of the two critical densities with different length of limit section are also investigated. It is shown that only one critical density appears if a highway is not slowdown section; nevertheless, with the growing length of slowdown section, one critical density separates into two critical densities; if the entire highway is slowdown section, they finally merge into one. The contrastive analysis proves that the analytical results are consistent with the numerical ones. |
| doi_str_mv | 10.1155/2015/757823 |
| format | Article |
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Based on the theoretical analysis, the relationships among local mean densities, velocities, traffic fluxes, and global densities are derived. The results show that two critical densities exist in the evolutionary process of traffic state, and they are significant demarcation points for traffic phase transition. Furthermore, the changing laws of the two critical densities with different length of limit section are also investigated. It is shown that only one critical density appears if a highway is not slowdown section; nevertheless, with the growing length of slowdown section, one critical density separates into two critical densities; if the entire highway is slowdown section, they finally merge into one. The contrastive analysis proves that the analytical results are consistent with the numerical ones.</description><identifier>ISSN: 1687-5265</identifier><identifier>EISSN: 1687-5273</identifier><identifier>DOI: 10.1155/2015/757823</identifier><identifier>PMID: 26089864</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Limiteds</publisher><subject>Automobile Driving ; Cellular automata ; Computer Simulation ; Density ; Engineering models ; Environment Design ; Fluxes ; Freeways ; Highways ; Humans ; Intelligence ; Mathematical analysis ; Models, Theoretical ; Roads & highways ; Simulation ; Speed limits ; Traffic accidents & safety ; Traffic congestion ; Traffic engineering ; Traffic flow ; Transportation ; Velocity</subject><ispartof>Computational Intelligence and Neuroscience, 2015-01, Vol.2015 (2015), p.1121-1128</ispartof><rights>Copyright © 2015 Dejie Xu et al.</rights><rights>COPYRIGHT 2015 John Wiley & Sons, Inc.</rights><rights>Copyright © 2015 Dejie Xu et al. Dejie Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2015 Dejie Xu et al. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a590t-2fc43130048cb8cf30d808402f3dcfa1f964959b50744096c4d5aed866f7bc283</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4451007/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4451007/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26089864$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>DeMarse, Thomas</contributor><creatorcontrib>Wei, Wei</creatorcontrib><creatorcontrib>Rong, Yaping</creatorcontrib><creatorcontrib>Mao, Baohua</creatorcontrib><creatorcontrib>Xu, Dejie</creatorcontrib><title>Theory and Simulation for Traffic Characteristics on the Highway with a Slowdown Section</title><title>Computational Intelligence and Neuroscience</title><addtitle>Comput Intell Neurosci</addtitle><description>We study the traffic characteristics on a single-lane highway with a slowdown section using the deterministic cellular automaton (CA) model. Based on the theoretical analysis, the relationships among local mean densities, velocities, traffic fluxes, and global densities are derived. The results show that two critical densities exist in the evolutionary process of traffic state, and they are significant demarcation points for traffic phase transition. Furthermore, the changing laws of the two critical densities with different length of limit section are also investigated. It is shown that only one critical density appears if a highway is not slowdown section; nevertheless, with the growing length of slowdown section, one critical density separates into two critical densities; if the entire highway is slowdown section, they finally merge into one. The contrastive analysis proves that the analytical results are consistent with the numerical ones.</description><subject>Automobile Driving</subject><subject>Cellular automata</subject><subject>Computer Simulation</subject><subject>Density</subject><subject>Engineering models</subject><subject>Environment Design</subject><subject>Fluxes</subject><subject>Freeways</subject><subject>Highways</subject><subject>Humans</subject><subject>Intelligence</subject><subject>Mathematical analysis</subject><subject>Models, Theoretical</subject><subject>Roads & highways</subject><subject>Simulation</subject><subject>Speed limits</subject><subject>Traffic accidents & safety</subject><subject>Traffic congestion</subject><subject>Traffic engineering</subject><subject>Traffic 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Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Computational Intelligence and Neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wei, Wei</au><au>Rong, Yaping</au><au>Mao, Baohua</au><au>Xu, Dejie</au><au>DeMarse, Thomas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Theory and Simulation for Traffic Characteristics on the Highway with a Slowdown Section</atitle><jtitle>Computational Intelligence and Neuroscience</jtitle><addtitle>Comput Intell Neurosci</addtitle><date>2015-01-01</date><risdate>2015</risdate><volume>2015</volume><issue>2015</issue><spage>1121</spage><epage>1128</epage><pages>1121-1128</pages><issn>1687-5265</issn><eissn>1687-5273</eissn><abstract>We study the traffic characteristics on a single-lane highway with a slowdown section using the deterministic 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| subjects | Automobile Driving Cellular automata Computer Simulation Density Engineering models Environment Design Fluxes Freeways Highways Humans Intelligence Mathematical analysis Models, Theoretical Roads & highways Simulation Speed limits Traffic accidents & safety Traffic congestion Traffic engineering Traffic flow Transportation Velocity |
| title | Theory and Simulation for Traffic Characteristics on the Highway with a Slowdown Section |
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