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一种基于城市大脑的无感停车管理系统Title:ASmartCity-basedSeamlessParkingManagementSystemAbstract:Therapidgrowthofurbanizationhasledtoanincreaseinthenumberofvehiclesontheroads,leadingtoamajorchallengeoffindingparkingspaceswithincities.Traditionalparkingmanagementsystemsoftenstruggletoeffectivelyhandletheincreasingdemandforparking,resultingintrafficcongestion,wastedtime,andincreasedpollution.Thispaperproposesasmartcity-basedseamlessparkingmanagementsystemthatutilizestheconceptofthesmartcitybraintoimproveparkingefficiencyandprovideaseamlessparkingexperiencefordrivers.ThesystememploystechnologiessuchasIoT,artificialintelligence,anddataanalyticstooptimizeparkingresourceutilization,reduceparkingsearchtime,andenhanceoverallurbanmobility.1.Introduction1.1Background1.2ProblemStatement1.3Objective2.SmartCityInfrastructureandtheRoleofaCityBrain2.1SmartCityConcept2.2CityBrainConcept2.3IntegrationofParkingManagementwithinaCityBrain3.ArchitectureoftheParkingManagementSystem3.1SystemComponents3.1.1IoTDevicesandSensors3.1.2DataCollectionandProcessing3.1.3DataAnalyticsandMachineLearning3.1.4UserInterfaceandMobileApplications3.2IntegrationwithUrbanTrafficManagement3.3SecurityandPrivacyConsiderations4.KeyFeaturesandFunctionalities4.1Real-timeParkingAvailability4.2SeamlessPaymentIntegration4.3IntelligentRoutingandNavigation4.4PersonalizedParkingRecommendations4.5AdvancedAnalyticsandPredictiveModels5.BenefitsandImpacts5.1EconomicBenefitsforDriversandParkingProviders5.2EnvironmentalBenefits5.3ReducedTrafficCongestionandEnhancedUrbanMobility5.4ImprovedUrbanPlanningandResourceAllocation6.CaseStudiesandSuccessStories6.1ImplementationinSmartCities6.2UserExperiencesandFeedback7.ChallengesandLimitations7.1TechnicalChallenges7.2ConnectivityandInfrastructureLimitations7.3PrivacyandDataSecurityConcerns8.Conclusion8.1SummaryofContributions8.2FutureDirectionsandRecommendations9.ReferencesInthispaper,weproposeasmartcity-basedseamlessparkingmanagementsystemthatleveragestheconceptofacitybraintooptimizeparkingresourceutilization,reduceparkingsearchtime,andenhanceoverallurbanmobility.ThesystemarchitectureincludesIoTdevicesandsensorsforreal-timedatacollection,dataanalyticsandmachinelearningtechniquesforintelligentparkingrecommendations,andauser-friendlymobileapplicationinterfaceforeasyaccessbydrivers.Integrationwithurbantrafficmanagementsystemsfurtherenablesintelligentroutingandnavigation.Thesystemoffersbenefitssuchaseconomicsavings,environmentalimpactreductions,reducedtrafficcongestion,andimprovedurbanplanning.Casestudiesandsuccessstorieshighlightthesystem'seffectivenessinreal-worldscenarios,whilechallengesandlimitationsarealsodiscussed.Ast

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