An Extended Car‐Following Model With Consideration of the Driver's Memory and Control Strategy
Taking account of the effect of the driver's memory, an extended car‐following model is proposed in this paper. A control signal including the velocity contrast of considered car and the following car is taken into account in this extended model. Numerical simulations are implemented to prove t...
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| Veröffentlicht in: | Asian journal of control 2018-03, Vol.20 (2), p.689-696 |
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| container_end_page | 696 |
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| container_issue | 2 |
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| container_title | Asian journal of control |
| container_volume | 20 |
| creator | Zheng, Yi‐ming Cheng, Rong‐jun Ge, Hong‐xia Lo, Siu‐ming |
| description | Taking account of the effect of the driver's memory, an extended car‐following model is proposed in this paper. A control signal including the velocity contrast of considered car and the following car is taken into account in this extended model. Numerical simulations are implemented to prove that the application of the model can suppress the traffic congestion successfully. |
| doi_str_mv | 10.1002/asjc.1581 |
| format | Article |
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A control signal including the velocity contrast of considered car and the following car is taken into account in this extended model. Numerical simulations are implemented to prove that the application of the model can suppress the traffic congestion successfully.</description><subject>Artificial intelligence</subject><subject>Car following</subject><subject>car‐following model</subject><subject>Computer simulation</subject><subject>control method</subject><subject>Control systems</subject><subject>driver's memory</subject><subject>Traffic congestion</subject><subject>Traffic flow</subject><subject>Traffic models</subject><issn>1561-8625</issn><issn>1934-6093</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp10L1OwzAQB3ALgUQpDLyBJQbEkNZnJ44zVqHlQ60YCmI0JnHaVKld7JSSjUfgGXkSEsrKdDf87k73R-gcyAAIoUPlV9kAIgEHqAcJCwNOEnbY9hGHQHAaHaMT71eEcGAi6qGXkcHjj1qbXOc4Ve7782tiq8ruSrPAM5vrCj-X9RKn1vgy107VpTXYFrheanztynftLj2e6bV1DVYm72DtbIXndWv1ojlFR4WqvD77q330NBk_prfB9OHmLh1Ng4wmMQSJoDEnlHKuspCGjBSakQxU_gpFmAAInXEFLGw_UxmhCdGF4AUlSrE8ohFhfXSx37tx9m2rfS1XdutMe1JSAjEXIqZJq672KnPWe6cLuXHlWrlGApFdgLILUHYBtna4t7uy0s3_UI7m9-nvxA9mF3If</recordid><startdate>201803</startdate><enddate>201803</enddate><creator>Zheng, Yi‐ming</creator><creator>Cheng, Rong‐jun</creator><creator>Ge, Hong‐xia</creator><creator>Lo, Siu‐ming</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope><orcidid>https://orcid.org/0000-0002-8987-071X</orcidid></search><sort><creationdate>201803</creationdate><title>An Extended Car‐Following Model With Consideration of the Driver's Memory and Control Strategy</title><author>Zheng, Yi‐ming ; Cheng, Rong‐jun ; Ge, Hong‐xia ; Lo, Siu‐ming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2971-9827602266ac42430fe30c1adb1f49118ec6a134581ac0290ef86f20aa3d52503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Artificial intelligence</topic><topic>Car following</topic><topic>car‐following model</topic><topic>Computer simulation</topic><topic>control method</topic><topic>Control systems</topic><topic>driver's memory</topic><topic>Traffic congestion</topic><topic>Traffic flow</topic><topic>Traffic models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zheng, Yi‐ming</creatorcontrib><creatorcontrib>Cheng, Rong‐jun</creatorcontrib><creatorcontrib>Ge, Hong‐xia</creatorcontrib><creatorcontrib>Lo, Siu‐ming</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Asian journal of control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zheng, Yi‐ming</au><au>Cheng, Rong‐jun</au><au>Ge, Hong‐xia</au><au>Lo, Siu‐ming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Extended Car‐Following Model With Consideration of the Driver's Memory and Control Strategy</atitle><jtitle>Asian journal of control</jtitle><date>2018-03</date><risdate>2018</risdate><volume>20</volume><issue>2</issue><spage>689</spage><epage>696</epage><pages>689-696</pages><issn>1561-8625</issn><eissn>1934-6093</eissn><abstract>Taking account of the effect of the driver's memory, an extended car‐following model is proposed in this paper. 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| identifier | ISSN: 1561-8625 |
| ispartof | Asian journal of control, 2018-03, Vol.20 (2), p.689-696 |
| issn | 1561-8625 1934-6093 |
| language | eng |
| recordid | cdi_proquest_journals_2017688729 |
| source | Wiley Journals |
| subjects | Artificial intelligence Car following car‐following model Computer simulation control method Control systems driver's memory Traffic congestion Traffic flow Traffic models |
| title | An Extended Car‐Following Model With Consideration of the Driver's Memory and Control Strategy |
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