区域交通协同控制的混沌量子进化算法分析

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1、ABSTRACTAserialofareatrafficcomposetheurbantraffic，urbantraffictakeshugerisksonbehalftrafficflow，itcanrelievetrafficjamandincreasetrafficoperatingefficiencybysolvingurbanareatrafficsignalcontrolproblem．Sothispaperdevotestoresearchchaosquantumevolutionaryalgorithm，whi

2、chisatypeofintelligentoptimizationalgorithms，andappliestotrafficsignalcontrolofarearoadnetworkinordertoincreasecontrolefficiency．Urbanareatrafficsignalcontrol，wasnamed“surfacecontrol”，basedontheideathatdotandlinecanconstitutesurface，themainworkinthispaperisasfollows：

3、1．Taketheleastdelaytimeasaparameter，buildingsinglecrossingssingleobjectoptimizationmodel；andproposingakindofchaosquantumevolutionaryalgorithmbasedonindividualfitness，thenappliedthisalgorithmtosolvethemodel．Thesimulationresultshowsthatthisalgorithmismuchmoreefficientt

4、hanotheralgorithmstoimprovetrafficcongestion．2．Underthesaturationconstraintcondition，tobuildthesinglecrossingsmulti-objectoptimizationsignalcontrolmodelinconsideringsmallestdelay，leastparktimeandbiggesttrafficcapacityasobject，andproposedakindofchaosquantumevolutionar

5、yalgorithmbasedonobjectfunctiongradientandappliedittosolvethemodel．Thesimulationresulthasprovedthatthealgorithmcanadaptsignaltimingoptimizationcontrolunderdifferenttrafficstatusandimprovethetrafficconditioneffectively,thus，thisalgorithmiseffective．3．Buildingarterycon

6、trolmodelbasedonleastdelay,andproposingchaosquantumevolutionaryalgorithmbasedonobjectivefunctiongradientandfitnessandappliedthisalgorithmtosolvethisproblem．Thesimulationresulthasprovedthatthealgorithmcansatisfythedynamicsandrealtime，optimizationresulthassomeeffecttoi

7、mprovearterysystemvehicles，thisalgorithmiseffective．4．Basedontheresearchofsinglecrossingsandarterycrossingssignalcontrol，wetakingtheminimumdelayasthemeritstandardandbuildingsurfaceareanABSTRACTcrossingssignalcoordinatedcontrolmodel，thenproposedchaosdoublechainquantum

8、evolutionaryalgorithmbasedonobjfectivefunctiongradientandfitnessandappliedthisalgorithmtosolvethisproblem．Theresultindicatesthatthi