车联网技术研究综述

车联网技术研究综述一、本文概述Overviewofthisarticle随着科技的飞速发展，车联网技术已成为现代交通领域的重要研究热点。本文旨在对车联网技术的研究进行综述，深入探讨其关键技术、最新进展、应用前景以及面临的挑战。我们将对车联网技术的定义、特点和发展历程进行简要介绍，为后续研究提供背景知识。接下来，我们将重点关注车联网的关键技术，包括无线通信技术、传感器技术、大数据处理技术和技术等，分析这些技术在车联网中的应用及其优劣势。在此基础上，我们将综述车联网技术在智能交通、自动驾驶、车辆安全等领域的应用现状，以及取得的成果和挑战。我们还将对车联网技术的未来发展趋势进行展望，探讨其在智能交通系统中的重要作用和潜在价值。本文将对车联网技术的发展提出几点建议，以期推动车联网技术的进一步发展和应用。Withtherapiddevelopmentoftechnology,vehiclenetworkingtechnologyhasbecomeanimportantresearchhotspotinthefieldofmoderntransportation.ThisarticleaimstoprovideanoverviewofresearchontheInternetofVehiclestechnology,delvingintoitskeytechnologies,latestdevelopments,applicationprospects,andchallenges.Wewillprovideabriefintroductiontothedefinition,characteristics,anddevelopmenthistoryoftheInternetofVehiclestechnology,providingbackgroundknowledgeforsubsequentresearch.Next,wewillfocusonthekeytechnologiesoftheInternetofVehicles,includingwirelesscommunicationtechnology,sensortechnology,bigdataprocessingtechnology,andtechnology,andanalyzetheapplicationsandadvantagesanddisadvantagesofthesetechnologiesintheInternetofVehicles.Onthisbasis,wewillreviewthecurrentapplicationstatus,achievements,andchallengesofvehiclenetworkingtechnologyinfieldssuchasintelligenttransportation,autonomousdriving,andvehiclesafety.Wewillalsolookforwardtothefuturedevelopmenttrendsofvehiclenetworkingtechnology,exploreitsimportantroleandpotentialvalueinintelligenttransportationsystems.Thisarticlewillproposeseveralsuggestionsforthedevelopmentofvehiclenetworkingtechnology,inordertopromotefurtherdevelopmentandapplicationofvehiclenetworkingtechnology.二、车联网技术基础FundamentalsofInternetofVehiclesTechnology车联网（InternetofVehicles，IoV）是指通过先进的传感技术、网络技术、控制技术等，实现对车辆与车辆、车辆与道路、车辆与人、车辆与云等之间的全方位网络连接，从而提升车辆的安全性、效率、舒适性和节能性。车联网技术基础主要包括以下几个方面：InternetofVehicles(IoV)referstothecomprehensivenetworkconnectionbetweenvehicles,vehiclesandroads,vehiclesandpeople,vehiclesandclouds,etc.,achievedthroughadvancedsensingtechnology,networktechnology,controltechnology,etc.,therebyimprovingthesafety,efficiency,comfort,andenergyefficiencyofvehicles.Thefoundationofvehiclenetworkingtechnologymainlyincludesthefollowingaspects:通信技术：车联网通信技术是实现车辆之间、车辆与基础设施之间信息交互的关键。主要包括车载无线通信技术，如专用短程通信技术（DSRC）、蜂窝网络技术（如4G、5G）、WiFi等。这些技术为车辆提供了高速、可靠的数据传输通道，使得车辆能够实时获取和分享道路信息、车辆状态信息等。Communicationtechnology:Vehiclenetworkingcommunicationtechnologyisthekeytoachievinginformationexchangebetweenvehiclesandbetweenvehiclesandinfrastructure.Mainlyincludinginvehiclewirelesscommunicationtechnology,suchasdedicatedshort-rangecommunicationtechnology(DSRC),cellularnetworktechnology(suchas4G,5G),WiFi,etc.Thesetechnologiesprovidehigh-speedandreliabledatatransmissionchannelsforvehicles,enablingthemtoobtainandsharereal-timeroadinformation,vehiclestatusinformation,etc.传感器技术：传感器技术是车联网的重要组成部分，用于获取车辆自身状态、周围环境等信息。常见的传感器包括雷达、激光雷达（LiDAR）、摄像头、超声波传感器等。这些传感器能够提供丰富的感知数据，为车辆决策提供支持。Sensortechnology:SensortechnologyisanimportantcomponentoftheInternetofVehicles,usedtoobtaininformationsuchasthevehicle'sownstatusandsurroundingenvironment.Commonsensorsincluderadar,LiDAR,cameras,ultrasonicsensors,etc.Thesesensorscanproviderichperceptualdatatosupportvehicledecision-making.数据处理与分析技术：车联网中产生的海量数据需要进行高效处理和分析，以提取有价值的信息。这涉及到云计算、边缘计算、大数据处理、人工智能等技术。通过对这些数据的处理和分析，可以实现智能交通管理、车辆状态监测、驾驶行为分析等功能。Dataprocessingandanalysistechnology:ThemassivedatageneratedintheInternetofVehiclesneedstobeefficientlyprocessedandanalyzedtoextractvaluableinformation.Thisinvolvescloudcomputing,edgecomputing,bigdataprocessing,artificialintelligenceandothertechnologies.Byprocessingandanalyzingthesedata,functionssuchasintelligenttrafficmanagement,vehiclestatusmonitoring,anddrivingbehavioranalysiscanbeachieved.标准化与协议：为了保证不同车辆、不同系统之间的互联互通，车联网需要建立统一的标准化和协议体系。这包括数据格式、通信协议、接口标准等。通过标准化和协议的统一，可以实现车联网的广泛应用和普及。StandardizationandProtocol:Inordertoensureinterconnectivitybetweendifferentvehiclesandsystems,theInternetofVehiclesneedstoestablishaunifiedstandardizationandprotocolsystem.Thisincludesdataformats,communicationprotocols,interfacestandards,etc.Bystandardizingandunifyingprotocols,thewidespreadapplicationandpopularizationoftheInternetofVehiclescanbeachieved.车联网技术基础涵盖了通信技术、传感器技术、数据处理与分析技术、标准化与协议等多个方面。这些技术的融合和发展为车联网的应用提供了坚实的基础。随着技术的不断进步和应用场景的扩大，车联网将在未来交通领域发挥更加重要的作用。ThefoundationofInternetofVehiclestechnologycoversmultipleaspectssuchascommunicationtechnology,sensortechnology,dataprocessingandanalysistechnology,standardizationandprotocols.TheintegrationanddevelopmentofthesetechnologiesprovideasolidfoundationfortheapplicationoftheInternetofVehicles.Withthecontinuousadvancementoftechnologyandtheexpansionofapplicationscenarios,theInternetofVehicleswillplayamoreimportantroleinthefuturetransportationfield.三、车联网关键技术KeyTechnologiesforConnectedVehicles车联网技术是一个涉及多个领域的综合性技术体系，其中的关键技术主要包括通信技术、传感器技术、数据处理与分析技术，以及安全与隐私保护技术等。TheInternetofVehiclestechnologyisacomprehensivetechnologysystemthatinvolvesmultiplefields,anditskeytechnologiesmainlyincludecommunicationtechnology,sensortechnology,dataprocessingandanalysistechnology,aswellassecurityandprivacyprotectiontechnology.通信技术：车联网中的通信技术是实现车与车、车与基础设施、车与行人之间信息交互的基础。目前，车联网主要依赖于无线通信技术，如专用短程通信技术（DSRC）、蜂窝车联网（C-V2）等。这些技术能够提供高可靠性、低延迟的数据传输，为车联网应用提供必要的通信支持。Communicationtechnology:CommunicationtechnologyintheInternetofVehiclesisthefoundationforachievinginformationexchangebetweenvehicles,betweenvehiclesandinfrastructure,andbetweenvehiclesandpedestrians.Atpresent,theInternetofVehiclesmainlyreliesonwirelesscommunicationtechnologies,suchasDedicatedShortRangeCommunication(DSRC),CellularInternetofVehicles(C-V2),etc.Thesetechnologiescanprovidehighreliabilityandlowlatencydatatransmission,providingnecessarycommunicationsupportforvehiclenetworkingapplications.传感器技术：传感器技术是车联网中获取车辆周围环境信息的重要手段。常见的传感器包括雷达、激光雷达（LiDAR）、摄像头、超声波传感器等。这些传感器能够获取车辆周围的障碍物、行人、交通信号等信息，为车辆决策提供数据支持。Sensortechnology:SensortechnologyisanimportantmeansofobtaininginformationaboutthesurroundingenvironmentofvehiclesintheInternetofVehicles.Commonsensorsincluderadar,LiDAR,cameras,ultrasonicsensors,etc.Thesesensorscanobtaininformationsuchasobstacles,pedestrians,andtrafficsignalsaroundthevehicle,providingdatasupportforvehicledecision-making.数据处理与分析技术：车联网中的数据处理与分析技术是实现车辆智能化决策的关键。通过对车辆传感器采集的大量数据进行处理和分析，可以提取出有用的信息，如车辆位置、速度、加速度等，进而实现车辆自主驾驶、智能避障、优化路径规划等功能。Dataprocessingandanalysistechnology:DataprocessingandanalysistechnologyintheInternetofVehiclesisthekeytoachievingintelligentdecision-makingforvehicles.Byprocessingandanalyzingalargeamountofdatacollectedbyvehiclesensors,usefulinformationsuchasvehicleposition,speed,acceleration,etc.canbeextracted,therebyachievingfunctionssuchasautonomousdriving,intelligentobstacleavoidance,andoptimizedpathplanning.安全与隐私保护技术：车联网技术的发展也面临着安全与隐私保护的挑战。在车联网中，车辆和基础设施之间传输的数据可能包含个人隐私信息，如车辆位置、行驶轨迹等。因此，需要采用加密技术、匿名化处理等技术手段来保护用户的隐私和安全。Securityandprivacyprotectiontechnology:Thedevelopmentofvehiclenetworkingtechnologyalsofaceschallengesinsecurityandprivacyprotection.IntheInternetofVehicles,thedatatransmittedbetweenvehiclesandinfrastructuremaycontainpersonalprivacyinformation,suchasvehiclelocation,drivingtrajectory,etc.Therefore,itisnecessarytouseencryptiontechnology,anonymizationprocessingandothertechnicalmeanstoprotectuserprivacyandsecurity.车联网技术的发展离不开这些关键技术的支持。未来随着技术的不断进步和创新，车联网将在智能交通、自动驾驶等领域发挥更加重要的作用。Thedevelopmentofvehiclenetworkingtechnologycannotbeseparatedfromthesupportofthesekeytechnologies.Inthefuture,withthecontinuousprogressandinnovationoftechnology,theInternetofVehicleswillplayamoreimportantroleinfieldssuchasintelligenttransportationandautonomousdriving.四、车联网应用与服务Carnetworkingapplicationsandservices车联网技术的快速发展和应用，极大地推动了智能交通、自动驾驶、智慧城市等领域的进步，为人们的生活带来了前所未有的便利。车联网应用与服务以其高效、安全、智能的特点，正逐步渗透到我们的日常生活中。TherapiddevelopmentandapplicationofInternetofVehiclestechnologyhavegreatlypromotedprogressinfieldssuchasintelligenttransportation,autonomousdriving,andsmartcities,bringingunprecedentedconveniencetopeople'slives.TheapplicationandservicesoftheInternetofVehiclesaregraduallypenetratingintoourdailylivesduetotheirefficient,secure,andintelligentcharacteristics.车联网技术在智能交通领域的应用，使得道路拥堵、交通事故等问题得到了有效缓解。通过车辆与道路基础设施之间的实时信息交互，车联网系统可以实时感知道路状况，为驾驶员提供最佳的行驶路线，降低道路拥堵情况。同时，车联网还可以实现对车辆的实时监控，预防交通事故的发生。Theapplicationofvehiclenetworkingtechnologyinthefieldofintelligenttransportationhaseffectivelyalleviatedproblemssuchasroadcongestionandtrafficaccidents.Throughreal-timeinformationexchangebetweenvehiclesandroadinfrastructure,thevehiclenetworkingsystemcansenseroadconditionsinrealtime,providedriverswiththebestdrivingroute,andreduceroadcongestion.Meanwhile,theInternetofVehiclescanalsoachievereal-timemonitoringofvehiclesandpreventtrafficaccidents.自动驾驶技术的发展离不开车联网的支持。车联网技术为自动驾驶车辆提供了丰富的环境感知信息，使得车辆能够准确识别道路标志、障碍物、行人等，从而做出正确的驾驶决策。车联网还可以实现车辆之间的信息交互，提高自动驾驶车辆的安全性和可靠性。Thedevelopmentofautonomousdrivingtechnologyisinseparablefromthesupportofconnecteddriving.TheInternetofVehiclestechnologyprovidesrichenvironmentalperceptioninformationforautonomousvehicles,enablingthemtoaccuratelyrecognizeroadsigns,obstacles,pedestrians,andmakecorrectdrivingdecisions.TheInternetofVehiclescanalsoachieveinformationexchangebetweenvehicles,improvingthesafetyandreliabilityofautonomousvehicles.车联网技术在智慧城市建设中发挥着重要作用。通过将车辆、道路、交通设施等连接起来，车联网系统可以为城市管理者提供全面的交通数据，帮助他们更好地规划城市交通、优化交通布局。同时，车联网还可以为市民提供更加便捷、高效的出行服务，提升城市的生活品质。TheInternetofVehiclestechnologyplaysanimportantroleintheconstructionofsmartcities.Byconnectingvehicles,roads,transportationfacilities,etc.,thevehiclenetworkingsystemcanprovidecomprehensivetrafficdataforurbanmanagers,helpingthembetterplanurbantrafficandoptimizetrafficlayout.Atthesametime,theInternetofVehiclescanalsoprovidecitizenswithmoreconvenientandefficienttravelservices,improvingthequalityoflifeinthecity.车联网技术还催生了众多新兴服务，如车载娱乐、车载支付等。这些服务不仅丰富了人们的出行体验，也为车联网产业链的发展注入了新的活力。TheInternetofVehiclestechnologyhasalsogivenbirthtonumerousemergingservices,suchasincarentertainment,incarpayments,andsoon.Theseservicesnotonlyenrichpeople'stravelexperience,butalsoinjectnewvitalityintothedevelopmentofthecarnetworkingindustrychain.车联网应用与服务在智能交通、自动驾驶、智慧城市等领域的应用，正逐步改变着我们的生活方式。随着技术的不断进步和应用场景的不断拓展，车联网将在未来发挥更加重要的作用，为我们的生活带来更多的便利和惊喜。TheapplicationandservicesoftheInternetofVehiclesinfieldssuchasintelligenttransportation,autonomousdriving,andsmartcitiesaregraduallychangingourwayoflife.Withthecontinuousadvancementoftechnologyandtheexpansionofapplicationscenarios,theInternetofVehicleswillplayamoreimportantroleinthefuture,bringingmoreconvenienceandsurprisestoourlives.五、车联网技术面临的挑战与问题ThechallengesandproblemsfacedbytheInternetofVehiclestechnology尽管车联网技术带来了许多潜在的利益，但它也面临着多方面的挑战和问题。AlthoughtheInternetofVehiclestechnologyhasbroughtmanypotentialbenefits,italsofacesvariouschallengesandproblems.技术挑战：车联网技术需要处理大量的数据，包括车辆之间的通信、传感器数据、道路信息等。这要求有高效的数据处理和分析技术，但目前的数据处理能力还不能完全满足需求。车联网的通信协议和安全标准尚未统一，这可能导致不同系统之间的兼容性问题。Technicalchallenge:Vehiclenetworkingtechnologyrequiresprocessingalargeamountofdata,includingcommunicationbetweenvehicles,sensordata,roadinformation,etc.Thisrequiresefficientdataprocessingandanalysistechniques,butthecurrentdataprocessingcapabilitiescannotfullymeettherequirements.ThecommunicationprotocolandsecuritystandardsfortheInternetofVehicleshavenotbeenunified,whichmayleadtocompatibilityissuesbetweendifferentsystems.安全挑战：车联网技术涉及到大量的个人数据和隐私，如何确保数据的安全性和隐私性是一个重要的问题。由于车辆之间的通信可能受到恶意攻击或干扰，这可能导致交通事故或系统崩溃。Securitychallenge:TheInternetofVehiclestechnologyinvolvesalargeamountofpersonaldataandprivacy,andensuringthesecurityandprivacyofdataisanimportantissue.Duetothepossibilityofmaliciousattacksorinterferenceincommunicationbetweenvehicles,thismayleadtotrafficaccidentsorsystemcrashes.法律和政策挑战：车联网技术的发展需要相应的法律和政策支持。然而，目前许多国家和地区的法律和政策框架尚未完善，这可能会限制车联网技术的应用和发展。Legalandpolicychallenges:Thedevelopmentofvehiclenetworkingtechnologyrequirescorrespondinglegalandpolicysupport.However,thelegalandpolicyframeworksinmanycountriesandregionsarenotyetperfect,whichmaylimittheapplicationanddevelopmentofvehiclenetworkingtechnology.经济挑战：车联网技术的推广需要大量的投资，包括基础设施建设、技术研发、设备升级等。由于技术更新迅速，如何保持系统的持续性和经济性也是一个挑战。Economicchallenge:ThepromotionofInternetofVehiclestechnologyrequiressignificantinvestment,includinginfrastructureconstruction,technologyresearchanddevelopment,andequipmentupgrades.Duetorapidtechnologicalupdates,maintainingthesustainabilityandeconomyofthesystemisalsoachallenge.用户接受度挑战：尽管车联网技术带来了许多便利，但用户对于新技术的接受度可能不高。这可能需要通过教育和宣传来提高用户的认知度和接受度。UserAcceptanceChallenge:Despitetheconveniencebroughtbyconnectedcartechnology,theacceptanceofnewtechnologiesbyusersmaynotbehigh.Thismayrequireeducationandpromotiontoincreaseuserawarenessandacceptance.车联网技术的发展面临着多方面的挑战和问题。为了克服这些挑战，需要各方面的共同努力，包括技术研发、政策制定、用户教育等。只有这样，车联网技术才能更好地服务于社会，提高交通效率和安全性。Thedevelopmentofvehiclenetworkingtechnologyfacesvariouschallengesandproblems.Toovercomethesechallenges,jointeffortsareneededfromallaspects,includingtechnologyresearchanddevelopment,policyformulation,andusereducation.Onlyinthiswaycancarnetworkingtechnologybetterservesociety,improvetrafficefficiencyandsafety.六、车联网技术的发展趋势与展望TheDevelopmentTrendsandProspectsofInternetofVehiclesTechnology随着信息技术的飞速发展，车联网技术正逐渐融入人们的日常生活，并展现出巨大的发展潜力。在未来，车联网技术将朝着更高效率、更高安全性和更强智能化方向发展，实现更加便捷、智能、安全的出行体验。Withtherapiddevelopmentofinformationtechnology,theInternetofVehicles(IoV)technologyisgraduallyintegratingintopeople'sdailylivesanddemonstratingenormouspotentialfordevelopment.Inthefuture,theInternetofVehiclestechnologywilldeveloptowardshigherefficiency,highersecurity,andstrongerintelligence,achievingamoreconvenient,intelligent,andsafetravelexperience.车联网技术将进一步与5G、6G、人工智能、大数据、云计算等前沿技术深度融合，推动车辆与道路基础设施、行人以及其他交通参与者之间的信息交互和协同工作。例如，利用5G网络的高速率、低延迟特性，车联网可以实现更加精确的车辆控制和数据传输；通过人工智能技术，车辆可以自主决策、规避危险，提高行驶安全；而大数据和云计算则能够为车联网提供强大的数据处理和存储能力，为智能交通、智慧城市等应用提供有力支持。TheInternetofVehiclestechnologywillfurtherintegratewithcutting-edgetechnologiessuchas5G,6G,artificialintelligence,bigdata,andcloudcomputing,promotinginformationexchangeandcollaborativeworkbetweenvehiclesandroadinfrastructure,pedestrians,andothertrafficparticipants.Forexample,byutilizingthehigh-speedandlowlatencycharacteristicsof5Gnetworks,theInternetofVehiclescanachievemoreprecisevehiclecontrolanddatatransmission;Throughartificialintelligencetechnology,vehiclescanmakeautonomousdecisions,avoiddangers,andimprovedrivingsafety;AndbigdataandcloudcomputingcanprovidepowerfuldataprocessingandstoragecapabilitiesfortheInternetofVehicles,providingstrongsupportforapplicationssuchasintelligenttransportationandsmartcities.随着自动驾驶技术的不断成熟，车联网将成为实现自动驾驶的关键基础设施。通过车与车、车与基础设施之间的实时信息交换和协同工作，自动驾驶车辆将能够更加准确地感知周围环境，自主决策并规划行驶路线，从而极大地提高道路安全和出行效率。Withthecontinuousmaturityofautonomousdrivingtechnology,theInternetofVehicleswillbecomeakeyinfrastructureforachievingautonomousdriving.Throughreal-timeinformationexchangeandcollaborativeworkbetweenvehiclesandinfrastructure,autonomousvehicleswillbeabletoperceivethesurroundingenvironmentmoreaccurately,makeautonomousdecisions,andplandrivingroutes,greatlyimprovingroadsafetyandtravelefficiency.车联网技术将推动出行服务的个性化和智能化。基于用户的行为习惯、出行需求等信息，车联网可以为用户提供定制化的出行方案，包括路线规划、交通信息推送、车辆预约等，从而极大地提升用户的出行体验。TheInternetofVehiclestechnologywillpromotethepersonalizationandintelligenceoftravelservices.Basedonuserbehaviorhabits,travelneeds,andotherinformation,theInternetofVehiclescanprovidecustomizedtravelplansforusers,includingrouteplanning,trafficinformationpush,vehiclereservation,etc.,greatlyimprovingtheuser'stravelexperience.车联网技术有助于实现绿色出行和节能减排。通过实时监测和分析车辆运行状态、道路拥堵情况等信息，车联网可以为车辆提供更加节能的行驶策略，降低燃油消耗和排放。同时，车联网还可以支持电动汽车的智能充电管理，实现电网负荷的均衡分布和可再生能源的有效利用。TheInternetofVehiclestechnologyhelpstoachievegreentravelandenergyconservationandemissionreduction.Bymonitoringandanalyzingreal-timevehicleoperationstatus,roadcongestion,andotherinformation,theInternetofVehiclescanprovidemoreenergy-efficientdrivingstrategiesforvehicles,reducingfuelconsumptionandemissions.Atthesametime,theInternetofVehiclescanalsosupportintelligentchargingmanagementofelectricvehicles,achievingbalanceddistributionofgridloadandeffectiveutilizationofrenewableenergy.车联网技术的发展需要产业链上下游企业之间的协同合作，以及跨界合作与创新。汽车制造商、通信运营商、互联网企业等各方需要共同推动车联网标准的统一和技术的融合，打造开放、共享的车联网生态系统。随着车联网技术在智能交通、智慧城市等领域的应用不断拓展，跨界合作将成为推动车联网技术创新和应用的关键。ThedevelopmentofInternetofVehiclestechnologyrequirescollaborativecooperationbetweenupstreamanddownstreamenterprisesintheindustrialchain,aswellascross-bordercooperationandinnovation.Automobilemanufacturers,communicationoperators,InternetenterprisesandotherpartiesneedtojointlypromotetheunificationofInternetofVehiclesstandardsandtheintegrationoftechnologiestocreateanopenandsharedInternetofVehiclesecosystem.WiththecontinuousexpansionoftheapplicationofInternetofVehiclestechnologyinfieldssuchasintelligenttransportationandsmartcities,cross-bordercooperationwillbecomethekeytopromotinginnovationandapplicationofInternetofVehiclestechnology.车联网技术未来的发展将充满挑战与机遇。通过技术融合与创新、自动驾驶技术的普及、个性化出行服务、绿色出行与节能减排以及产业链协同与跨界合作等方向的努力，车联网技术有望为人们的出行和生活带来更加便捷、智能、安全的体验。Thefuturedevelopmentofvehiclenetworkingtechnologywillbefullofchallengesandopportunities.Througheffortsintechnologyintegrationandinnovation,popularizationofautonomousdrivingtechnology,personalizedtravelservices,greentravelandenergyconservationandemissionreduction,aswellasindustrychaincollaborationandcross-bordercooperation,theInternetofVehiclestechnologyisexpectedtobringmoreconvenient,intelligent,andsafeexperiencestopeople'stravelandlife.七、结论Conclusion随着科技的飞速发展，车联网技术已成为智能交通系统的重要组成部分。本文围绕车联网技术的核心内容和关键领域进行了深入的研究与探讨，旨在全面概述车联网技术的最新进展和未来发展趋势。Withtherapiddevelopmentoftechnology,vehiclenetworkingtechnologyhasbecomeanimportantcomponentofintelligenttransportationsystems.Thisarticleconductsin-depthresearchandexplorationaroundthecorecontentandkeyareasofInternetofVehiclestechnology,aimingtocomprehensivelyoutlinethelatestprogressandfuturedevelopmenttrendsofInternetofVehiclestechnolo