基于AGENT的智能交通控制的研究

《基于AGENT的智能交通控制的研究》由会员上传分享，免费在线阅读，更多相关内容在学术论文-天天文库。

1、同济大学硕士学位论文基于agent的智能交通控制的研究姓名：陆小芳申请学位级别：硕士专业：控制科学与工程·控制理论与控制工程指导教师：郑应平20060301AbstractABSTRACTWiththedevelopmentoftheeconomy,congestioninurbantraffichasbeenaproblemcommonlyconcemedaroundtheworld．Trafficcongestionwillcausetheincreaseintrafficdelay,trafficincidents

2、，fuelconsumingandsoon，andthusbringgreatsocialproblemandtremendouseconomicloss．Inthisdissertation，inallusiontothestatusquooftheurbantrafficandbasedonagenttechnologywhichisanewparadigmofcomputerandartificialintelligence，theintelligenttrafficcontrolproblemisdiscusse

3、dandstudied，whichisexpectedtobeaneffectivemethodtosolvethetrafficproblem．Firstly,thedevelopingstatusoftheagenttechnologyandmulti—agenttechnologyisintroduced，andthecoordinationtechnologyofmulti—agentissummarized．Secondly'thebasicmethodsandthebasicstructuresoftraff

4、iccontrolareintroduced，basedonwhich，anagentbasedurbantrafficsignalcontrolsystemstructureispresented．Thissystemisathree—layerstructure，andincludesfourkindsofagents：intersectionagents，roadsegmentagents，areacontrolagentsandcontrolcenteragents．Inthissystem，thetraffic

5、controlstrategyismadebytheintersectionlayer,relatedagentscommunicatewitheachother,andthusthereliability,thereal—timeflexibilityandtheexpandabilityareimproved．Thirdly,themodelstructuresofeachkindofagentsaredesignedindetail，andthespecialties，functionsandworkingstep

6、sofeachkindofagentsaredescribedandanalyzed；withintroducingintersectionqueuematrix，roadfactormatrix，trafficloadmatrixandgreensignaladjustingmatrix，multi-agentcoordinationtointersectioncongestionandroadspecialincidentsismodeled，andacoordinationalgorithmisputforward

7、．Fourthly,afteranalyzingthetrafficflowofurbanintersection，afour-phasetrafficsignalcontrolmodel，takingtheaveragetrafficdeleyastheperformanceindex，ismodeled，andanimprovedgeneticalgorithmisappliedtothismodel．Thesimulationresultshowsthattheimprovedgeneticalgorithmout

8、goesthesimplegeneticalgorithmandthetraditionalfixed—timecontrolapproach．1IAbstractKeywords：agent，coordination，trafficsignalcontrol，geneticalgorithm111学位论文版权使用授