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1、長沙理工大學碩士學位論文基于Multi-Agent的城市交通信號控制研究姓名：劉虹秀申請學位級別：碩士專業(yè)：交通信息工程及控制指導教師：魏武20080326ABSTRACTWiththecontinuousdevelopmentofnationaleconomy,people’Slivingstandardimprovesgradually,vehiclepopulationgrowsunceasingly,andurbantrafficproblembecomesobviouslydaybyday．Thetrafficsystemisacomplicatedla
2、rgescalesystemwithrandomicityandindefinability,Thecurrentsignalcontrolapproachhasobviousshortcomingsinreliabilityofcontrolandglobaloptimizingandwillunabletosolvetheincreasingtrafficproblem，makeuseofmoderntechnologyandintelligentmethodtosolveurbantrafficproblemhasattractedmuchattention
3、ofresearchers．Withthedevelopmentofdistributedartificialintelligencetechnology，AgenttechnologyandMulti—agentsystemtheoryhasprovidedatheoryfoundationforthestudyofsoftwareintelligentunderdistributedenvironment，astheurbantrafficsignalcontrolisinherentlydistributed，ithasverygoodprospecttoa
4、doptthemulti-Agenttechnologytostudyurbantrafficsignalcontrolproblem．Inthispaper,combinedwithAgenttechnology，adistributedandcoordinatedtrafficsignalcontrolsystembasedonUTSCAisproposed．Firstly,thispapercarriedonstructuraldesignforUTSCAatsingleintersection，describeditsworkprocess，andhasc
5、arriedonthedesigntothestudypatternofthestudyunit，andthen，carriedonthestructuraldesignforthetrafficsignalcontrolsystembasedonUTSCA，andtheformaldescriptionofthesystem．Then，selectstrafficstatesofsingleintersection，formsquantitativedescriptionforthearrivedcarsandsignalstatesofintersection
6、throughfuzzyclassifying，andconstructsthesignalcontrolrules，takesthetotalstopdelayofcarsfortheoptimizedgoal，usestheimprovedQ-learningalgorithmtocarryontheAgenttrainingtoimprovethesignalcontrolrule．Bycomparingthemethodwithtraditionalmethodthroughsimulation．simulationresultindicatesthatt
7、heeffectofthenewmethodinisolatedintersectioniSbetter．Finally．carriedonthedescriptionofthecommunication，coordinatedway,andlearningmodelinthesignalcontrolsystembasedonMulti—agent，usesthedistributedreinforcementlearningmethodforcoordination，thesimulationresultindicatesthatthemethodcanred
8、uceth
