基于汽车车联网的多智能体协同控制交通锥群组调度策略

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中图分类号：U491 DOI：10.20042/j.cnki.1009-4903.2026.01.010

Multi Agent Colaborative ControlTraffic Cone Group Scheduling Strategy BasedonAutomotive Vehicle Networking

Abstract：Withtheincreasingdemandforurbanroadconstructionandtemporarytraffcontrol，tetraditionalpassiveplacement modeoftraconesfltoeetirementsofibeplontntdeplontndetysevei agentcollborativecontroltechnologybasedontheInteetofVeiclesprovidesnewideasforitellgenttransportationteamgroup scheduling，andcanimprovethetraficecyofonstrutionreaswihteupprtofraficonecoudcolboratidamic traficmanagement.Researchhasshownthatthemultiagentcolaborativecontroltraficonegroupschedulingstrategybasedonte Internet of Vehicles can reduce deployment time by over 30% ，decrease trafficaccidentratesby 15% ，and optimize communication load throughdynamic topologyadjustment.Itisan important extensionof vehicle road colaborationapplications.

KeyWords：Automotive Internet of Vehicles；Multiagent；Collaborative control;Traffccone；Group scheduling

0 引

当前，城市化建设进程加快、机动车保有量持续增长，交通拥堵和施工区域事故频发已成为城市交通治理的突出难题。（剩余5659字）