2024年北京自动驾驶示范报告.pdf
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1、Beijings Initiatives on Autonomous Driving industry in the Era of Interconnection of EverythingBeijing High-level Autonomous Driving Demonstration Zone Work Office Informal document GRVA-18-28*18thGRVA,22-26 January 2024Agenda item 11Background|Interconnection of Everything2Interconnections of Multi
2、ple Urban ElementsInfrastructureCloudVehiclePeopleBJHAD|Establish City-level Engineering Test Platform C i t yC i t y-l e v e ll e v e lE E n g i n e e r i n g n g i n e e r i n g P l a t f o r mP l a t f o r mSmart VehicleSupport R&D and industrialization of key technologiesHelp low-cost vehicles a
3、chieve high-level autonomous drivingHigh-precision mapHigh-precision positioningPrecise MapChinas first map application pilotExplore the dynamic updates of high-precision mapsReal-time CloudEdge cloud,central cloudBuild a cloud platformunified data baseRadarHD cameraEdge computing unitRoadside poleI
4、ntelligent RoadroadDefine the intelligent connection standard intersection schemeReuse functional roadside sensing facilitiesReliable NetworkLow latency,high reliability,extremely stable network support3In September 2020,Beijing decided to build High-level Autonomous Driving Demonstration ZoneBJHAD|
5、A Standard Intelligent&Connected Intersections4Multi-Cabinet IntegrationAnnunciatorIntegrated Management And ControlRoadside Edge ComputingExchange SwitchConnected Power SystemReverse LowLatency CameraCheckpoint CameraNetworkAntennaMulti-Perception IntegrationFisheye CameraMulti-Pole IntegrationMWRN
6、etworkStation边缘计算单元Mobile Edge Computing(MEC)5Autonomous Trunk60 kilometers intersections constructionLast Mile DeliveryUnmanned Retail VehiclesUp to now,more than 600 vehicles have been deployed in the Demonstration Zone,road test licenses have been issued to 811 vehicles from 28 companiesBJHAD|App
7、lication AchievementsBJHAD|Empowerment Multiple Fields6Application of Massive Traffic DataTransportation GuideTraffic Signal OptimizationCollaborative PerceptionCooperative ControlCollaborative Decision MakingIntelligent Connected Vehicle(ICV)Transportation GuideTraffic Signal OptimizationIntelligen
8、t Transportation System(ITS)01ITSEmpowering Intelligent Transportation8ITS|Empowering Intelligent Transportation ServicesTraffic signal Timing Optimization Platform Road Side Sensing EquipmentIntersection ClassificationDispatch Strategy Basic Traffic Timing Plans边缘计算IntersectionIntersection Timing P
9、lansMonthAverage vehicle delay(seconds)Average Vehicle speed(km/h)Number of Trips(million per day)2023.129.4619.1633.582023.228.9123.6836.292023.328.1125.4636.602023.421.4729.2537.482023.520.5829.3137.512023.620.4828.7437.34A decrease of 30.48%15251/12/13/14/15/16/1AVERAGE VEHICLE DELAY(SECOND)30354
10、01/12/13/14/15/16/1NUMBER OF TRIPS(MILLION PER DAY)An increase of 11.20%Statistical Period:7:30-19:00 on weekdaysGreen waveSingle-point adaptive Real-time OperationTraffic Jam diagnosisIntersection MonitoringCCameraCRadarCMECCDigital PoliceCheckpointCNetworkTrafficOccupiedRateSpeedQueueTravelerInfo.
11、02ICVSupporting Intelligent&Connected Vehicles10Insufficient SecurityLack of EfficiencyHigh CostEnterpriseA:ADsystemcosts over RMB 200,000.EnterpriseB:ADsystemcosts over RMB 300,000.The integrated vehicle-road-cloud system transferscomputing power from vehicleto roadside,achieving publicreutilizatio
12、n of equipment and systems,and thereforereducing overall cost.Lack of comprehensive planning capabilities fortransportation systems.Lack of macro decision-making ability for complex and extreme road conditions resulting in traffic congestion.Solid state lidars X4Blind compensation lidars X2Long-rang
13、e millimeter Wave RadarsX3CamerasX11Solid state lidarsX7CamerasX12Perception modulesX6Ultra-long-range visionSudden appearance of pedestrians from blind spotsBlocked traffic lightsInclement weatherComplicated illuminationTraffic violationsComplex traffic sceneHarsh roadRoad conditionsAmbient conditi
14、onsOther conditionsRoad debris Lack of sensing capabilityin specific conditions Lack of sensing capabilityinextreme weatherICV|Ongoing Challenges of High Level Autonomous Vehicles11ICV|Beijings Solutions to the ChallengesThe ODD is severely fragmented,insufficient to meet the requirements of full-ra
15、nge autonomous driving.The consequences of the above-mentioned issue:Unsafe operation of autonomous vehicles,or fragmented Operational Design Domain(ODD).The core goal of the integrated vehicle-road-cloud system is safetyTo help transfer autonomous driving scenarios of the unknown to the known,the u
16、nsafe to the safe.Beijing has proposed the solution of an integrated vehicle-road-cloud system to address these challenges.Fragmentation vs.ContinuityGraphs Sources:Institute for AI Industry Research of Tsinghua University,Apollo Intelligent Connectivity(Beijing)Technology Co.,Ltd,.A unified framewo
17、rk for vehicle-infrastructure-cloud autonomous driving.J Automotive Safety and Energy,Vol.14 No.3,2023StartDestinationAll RegionsAll External Environment&Dynamic EntitiesFirst 1 KmUrban RoadsHighwayUrban RoadsLast 1 KmODDRangeManual TakeoverAV ModeIndoor ParkingSignal-Controlled IntersectionMixed-Us
18、e RoadLong TunnelLow VisibilityConstruction ZoneLack of High-Precision Map CoverageUnsafeSafeUnknownKnownKnown Safe AreaKnown Unsafe AreaUnknown Unsafe AreaUnknown Safe AreaUnsafeSafeKnownUnknownICV|AV ServicesTraffic light signal updates 27,169 times/week.V2X communication 8,736 times/week12Vehicle
19、-Road-Cloud Integration Cloud PlatformDelivering Roadside Perception and Traffic Light Countdown Information Services 700 Million TimesDaily Generation of 60,000Roadside and Cloud Control Platform Events03Data ValueExploring the application of massive traffic dataData Value|Worlds First Open DAIR-V2
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