Dynamical analysis of an optimal velocity model with time-delayed feedback control

•The stability and bifurcation are analyzed in an OVM with time-delayed feedback control of velocity differences.•The first stable intervals of time delay and feedback gain are determined by using the improved definite integral stability method.•The control method can suppress traffic jam by choosin...

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Veröffentlicht in:Communications in nonlinear science & numerical simulation 2020-11, Vol.90, p.105333, Article 105333
Hauptverfasser: Jin, Yanfei, Meng, Jingwei
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description •The stability and bifurcation are analyzed in an OVM with time-delayed feedback control of velocity differences.•The first stable intervals of time delay and feedback gain are determined by using the improved definite integral stability method.•The control method can suppress traffic jam by choosing feedback gain and time delay from the first stable intervals.•The proposed method provides an effective and simple way to design controller. In this paper, the dynamical behaviors of an optimal velocity model (OVM) with delayed feedback control of velocity difference is studied. By analyzing the transcendental characteristic equation, the stable region of controlled OVM is obtained and the critical condition for Hopf bifurcation is derived. To stabilize the unstable traffic flow and control the bifurcations, the definite integral stability method can be applied to determine the first stable intervals of time delay and feedback gain by calculating the number of all unstable eigenvalues of the characteristic equation. That is, when the time delay and the feedback gain are chosen from the corresponding stable intervals, the controlled OVM is stable and the stop-and-go traffic waves disappear. The numerical simulations in the case studies indicate that the proposed control strategy can suppress the traffic jams effectively and enhance the stability of traffic flow significantly.
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In this paper, the dynamical behaviors of an optimal velocity model (OVM) with delayed feedback control of velocity difference is studied. By analyzing the transcendental characteristic equation, the stable region of controlled OVM is obtained and the critical condition for Hopf bifurcation is derived. To stabilize the unstable traffic flow and control the bifurcations, the definite integral stability method can be applied to determine the first stable intervals of time delay and feedback gain by calculating the number of all unstable eigenvalues of the characteristic equation. That is, when the time delay and the feedback gain are chosen from the corresponding stable intervals, the controlled OVM is stable and the stop-and-go traffic waves disappear. The numerical simulations in the case studies indicate that the proposed control strategy can suppress the traffic jams effectively and enhance the stability of traffic flow significantly.</description><identifier>ISSN: 1007-5704</identifier><identifier>EISSN: 1878-7274</identifier><identifier>DOI: 10.1016/j.cnsns.2020.105333</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>An optimal velocity model ; Closed loop systems ; Control stability ; Control systems ; Definite integral stability method ; Eigenvalues ; Eigenvectors ; Feedback control ; Feedback control systems ; First stable interval ; Flow stability ; Hopf bifurcation ; Intervals ; Mathematical models ; Multivariable control systems ; Numerical analysis ; Systems stability ; Time delay ; Time lag ; Traffic congestion ; Traffic control ; Traffic flow ; Traffic jams ; Velocity</subject><ispartof>Communications in nonlinear science &amp; numerical simulation, 2020-11, Vol.90, p.105333, Article 105333</ispartof><rights>2020</rights><rights>Copyright Elsevier Science Ltd. 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In this paper, the dynamical behaviors of an optimal velocity model (OVM) with delayed feedback control of velocity difference is studied. By analyzing the transcendental characteristic equation, the stable region of controlled OVM is obtained and the critical condition for Hopf bifurcation is derived. To stabilize the unstable traffic flow and control the bifurcations, the definite integral stability method can be applied to determine the first stable intervals of time delay and feedback gain by calculating the number of all unstable eigenvalues of the characteristic equation. That is, when the time delay and the feedback gain are chosen from the corresponding stable intervals, the controlled OVM is stable and the stop-and-go traffic waves disappear. The numerical simulations in the case studies indicate that the proposed control strategy can suppress the traffic jams effectively and enhance the stability of traffic flow significantly.</description><subject>An optimal velocity model</subject><subject>Closed loop systems</subject><subject>Control stability</subject><subject>Control systems</subject><subject>Definite integral stability method</subject><subject>Eigenvalues</subject><subject>Eigenvectors</subject><subject>Feedback control</subject><subject>Feedback control systems</subject><subject>First stable interval</subject><subject>Flow stability</subject><subject>Hopf bifurcation</subject><subject>Intervals</subject><subject>Mathematical models</subject><subject>Multivariable control systems</subject><subject>Numerical analysis</subject><subject>Systems stability</subject><subject>Time delay</subject><subject>Time lag</subject><subject>Traffic congestion</subject><subject>Traffic control</subject><subject>Traffic flow</subject><subject>Traffic jams</subject><subject>Velocity</subject><issn>1007-5704</issn><issn>1878-7274</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9UE1LAzEQDaJgrf4CLwHPW5NM0uwePEj9hIIgeg5pdhazbjc12Vb235taz15m3ryZN_AeIZeczTjj8-t25vrUp5lgYs8oADgiE17qstBCy-OMGdOF0kyekrOUWpZVlZIT8no39nbtne2o7W03Jp9oaDKmYTP4daZ32AXnh5GuQ40d_fbDB80bLPJkR6xpg1ivrPukLvRDDN05OWlsl_Dir0_J-8P92-KpWL48Pi9ul4UD4EOhqzkiCtdo3tTASrdSkoEQVS7OKcWZ5ZVQCqyUbGUbywG10gByLq0ADlNydfi7ieFri2kwbdjGbCIZIRXoUqtK5Ss4XLkYUorYmE3MvuJoODP78ExrfsMz-_DMIbysujmoMBvYeYwmOY-9w9pHdIOpg_9X_wMpv3gl</recordid><startdate>202011</startdate><enddate>202011</enddate><creator>Jin, Yanfei</creator><creator>Meng, Jingwei</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202011</creationdate><title>Dynamical analysis of an optimal velocity model with time-delayed feedback control</title><author>Jin, Yanfei ; Meng, Jingwei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-796eee2cf71fd308cb5403229032cc5510a192553a440bafa13e75733464a2313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>An optimal velocity model</topic><topic>Closed loop systems</topic><topic>Control stability</topic><topic>Control systems</topic><topic>Definite integral stability method</topic><topic>Eigenvalues</topic><topic>Eigenvectors</topic><topic>Feedback control</topic><topic>Feedback control systems</topic><topic>First stable interval</topic><topic>Flow stability</topic><topic>Hopf bifurcation</topic><topic>Intervals</topic><topic>Mathematical models</topic><topic>Multivariable control systems</topic><topic>Numerical analysis</topic><topic>Systems stability</topic><topic>Time delay</topic><topic>Time lag</topic><topic>Traffic congestion</topic><topic>Traffic control</topic><topic>Traffic flow</topic><topic>Traffic jams</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jin, Yanfei</creatorcontrib><creatorcontrib>Meng, Jingwei</creatorcontrib><collection>CrossRef</collection><jtitle>Communications in nonlinear science &amp; numerical simulation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jin, Yanfei</au><au>Meng, Jingwei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamical analysis of an optimal velocity model with time-delayed feedback control</atitle><jtitle>Communications in nonlinear science &amp; numerical simulation</jtitle><date>2020-11</date><risdate>2020</risdate><volume>90</volume><spage>105333</spage><pages>105333-</pages><artnum>105333</artnum><issn>1007-5704</issn><eissn>1878-7274</eissn><abstract>•The stability and bifurcation are analyzed in an OVM with time-delayed feedback control of velocity differences.•The first stable intervals of time delay and feedback gain are determined by using the improved definite integral stability method.•The control method can suppress traffic jam by choosing feedback gain and time delay from the first stable intervals.•The proposed method provides an effective and simple way to design controller. In this paper, the dynamical behaviors of an optimal velocity model (OVM) with delayed feedback control of velocity difference is studied. By analyzing the transcendental characteristic equation, the stable region of controlled OVM is obtained and the critical condition for Hopf bifurcation is derived. To stabilize the unstable traffic flow and control the bifurcations, the definite integral stability method can be applied to determine the first stable intervals of time delay and feedback gain by calculating the number of all unstable eigenvalues of the characteristic equation. That is, when the time delay and the feedback gain are chosen from the corresponding stable intervals, the controlled OVM is stable and the stop-and-go traffic waves disappear. 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subjects An optimal velocity model
Closed loop systems
Control stability
Control systems
Definite integral stability method
Eigenvalues
Eigenvectors
Feedback control
Feedback control systems
First stable interval
Flow stability
Hopf bifurcation
Intervals
Mathematical models
Multivariable control systems
Numerical analysis
Systems stability
Time delay
Time lag
Traffic congestion
Traffic control
Traffic flow
Traffic jams
Velocity
title Dynamical analysis of an optimal velocity model with time-delayed feedback control
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