2023年第3期【摘要】为解决车辆因高速运动在路侧单元（RSU）覆盖范围内通行时间较短导致下载数据量有限的问题，提出了一种基于蚁群算法的车路协作消息传输策略。依据RSU间能够进行车辆数据等信息共享的特性，设计了相应的启发式函数与对应路径信息素更新规则，形成多个车路协作通信组，在增加网络中数据传输量和种类的同时避免了陷入局部最优解。通过SUMO仿真平台进行验证，结果表明，相对于非协作、联盟博弈（CGS）方案与多级联盟划分（MHEMs）方案，所提出策略在信息传输量、路网收益和运行时间等方面结果均更优，证明了该策略的有效性。主题词：车载自组织网络路侧单元协作通信蚁群算法中继选择中图分类号：U495文献标识码：ADOI:10.19620/j.cnki.1000-3703.20220440ResearchonAdaptiveVehicleRoadCooperationMessageTransmissionMethodBasedonAntColonyAlgorithmLiuMingjian1,2,ZhangSijia1,2,SunHua1（1.DalianOceanUniversity,Dalian1160232;2.KeyLaboratoryofEnvironmentControlledAquaculture,MinistryofEducation,DalianOceanUniversity,Dalian116023）【Abstract】InordertoeffectivelysolvetheproblemoflimitedamountofdownloadeddataduetotheshorttraveltimeofvehiclesinthecoverageofRoadSideUnit(RSU)duringhigh-speedmovement,thispaperproposedamessagetransmissionstrategyofvehicleroadcooperationmodebasedonantcolonyalgorithm.AccordingtothecharacteristicsthatinformationsuchasvehicledatacanbesharedbetweenRSUs,thecorrespondingheuristicfunctionandthecorrespondingpathpheromoneupdateprincipleweredesignedtoformmultiplevehicleroadcooperationcommunicationgroups,whichincreasedtheamountandtypesofdatatransmissioninthenetworkandavoidfallingintothelocaloptimalsolution.SUMOsimulationplatformwasutilizedforexperimentalverification.Theresultsshowthat,comparedwiththenon-cooperation,CoalitionFormationGames(CGS)andMultilevelHyper-graphPartitioningBasedonHeavyEdgeMatchingScheme(MHEMs),theproposedstrategyisbetterthantheabovestrategiesintermsofinformationtransmissionvolume,roadnetworkrevenueandoperatingtime,whichprovestheeffectivenessofthisstrategy.Keywords:VANET,RoadSideUnit(RSU),Cooperativecommunication,Antcolonyalgorithm,Relayselection刘明剑1,2张思佳1,2孙华1（1.大连...
