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1、本科生毕业设计(论文)外文文献翻译毕业设计题目:交通灯智能控制系统学院:信息科学与工程学院专业班级:学生姓名:指导教师:外文原文IntelligentTrafficLightControlMarcoWiering,JellevanVeenen,JillesVreeken,andArneKoopmanIntelligentSystemsGroupInstituteofInformationandComputingSciencesUtrechtUniversityPadualaan14,3508TBUtrecht,TheNetherlandsemail:marc
2、o@cs.uu.nlJuly9,2004AbstractVehiculartravelisincreasingthroughouttheworld,particularlyinlargeurbanareas.Thereforetheneedarisesforsimulatingandoptimizingtrafficcontrolalgorithmstobetteraccommodatethisincreasingdemand.Inthispaperwestudythesimulationandoptimizationoftrafficlightcontro
3、llersinacityandpresentanadaptiveoptimizationalgorithmbasedonreinforcementlearning.Wehaveimplementedatrafficlightsimulator,GreenLightDistrict,thatallowsustoexperimentwithdifferentinfrastructuresandtocomparedifferenttrafficlightcontrollers.Experimentalresultsindicatethatouradaptivetr
4、afficlightcontrollersoutperformotherfixedcontrollersonallstudiedinfrastructures.Keywords:IntelligentTrafficLightControl,ReinforcementLearning,Multi-AgentSystems(MAS),SmartInfrastructures,TransportationResearch1IntroductionTransportationresearchhasthegoaltooptimizetransportationflow
5、ofpeopleandgoods.Asthenumberofroadusersconstantlyincreases,andresourcesprovidedbycurrentinfrastructuresarelimited,intelligentcontroloftrafficwillbecomeaveryimportantissueinthefuture.However,somelimitationstotheusageofintelligenttrafficcontrolexist.Avoidingtrafficjamsforexampleistho
6、ughttobebeneficialtobothenvironmentandeconomy,butimprovedtraffic-flowmayalsoleadtoanincreaseindemand[Levinson,2003].Thereareseveralmodelsfortrafficsimulation.Inourresearchwefocusonmicroscopicmodelsthatmodelthebehaviorofindividualvehicles,andtherebycansimulatedynamicsofgroupsofvehic
7、les.Researchhasshownthatsuchmodelsyieldrealisticbehavior[NagelandSchreckenberg,1992,WahleandSchreckenberg,2001].Carsinurbantrafficcanexperiencelongtraveltimesduetoinefficienttrafficlightcontrol.Optimalcontroloftrafficlightsusingsophisticatedsensorsandintelligentoptimizationalgorith
8、msmightthereforebeverybene