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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,
2、TheNetherlandsemail:marco@cs-uu.nlJuly9,2004AbstractVehiculartravelisincreasingthroughouttheworld,particularlyinlargeurbanareas.Thereforetheneedarisesforsimulatingandoptimizingtrafficcontrolalgorithmstobetteraccommodatethisincreasingdemand.Inthispaperwestudyt
3、hesimulationandoptimizationoftrafficlightcontrollersinacityandpresentanadaptiveoptimizationalgorithmbasedonreinforcementlearning.Wehaveimplementedatrafficlightsimulator,GreenLightDistrict,thatallowsustoexperimentwithdifferentinfrastructuresandtocomparediffere
4、nttrafficlightcontrollers.Experimentalresultsindicatethatouradaptivetrafficlightcontrollersoutperformotherfixedcontrollersonallstudiedinfrastructures.Keywords:IntelligentTrafficLightControl,ReinforcementLearning,Multi-AgentSystems(MAS),SmartInfrastructures,Tr
5、ansportationResearch1IntroductionTransportationresearchhasthegoaltooptimizetransportationflowofpeopleandgoods.Asthenumberofroadusersconstantlyincreases,andresourcesprovidedbycurrentinfrastructuresarelimited,intelligentcontroloftrafficwillbecomeaveryimportanti
6、ssueinthefuture.However,somelimitationstotheusageofintelligenttrafficcontrolexist.Avoidingtrafficjamsforexampleisthoughttobebeneficialtobothenvironmentandeconomy,butimprovedtraffic-flowmayalsoleadtoanincreaseindemand[Levinson,2003].Thereareseveralmodelsfortra
7、fficsimulation.Inourresearchwefocusonmicroscopicmodelsthatmodelthebehaviorofindividualvehicles,andtherebycansimulatedynamicsofgroupsofvehicles.Researchhasshownthatsuchmodelsyieldrealisticbehavior[NagelandSchreckenberg,1992,WahleandSchreckenberg,2001].Carsinur
8、bantrafficcanexperiencelongtraveltimesduetoinefficienttrafficlightcontrol.Optimalcontroloftrafficlightsusingsophisticatedsensorsandintelligentoptimizationalgorithmsmightthereforebeveryben
