简介：InvehicleAd-hocnetwok(VANET),trafficloadisoftenunevenlydistributedamongaccesspoints(APs).Suchloadimbalancehampersthenetworkfromfullyutilizingthenetworkcapacity.Toalleviatesuchimbalance,thepaperintroducesanovelpricinggamemodel.Theresearchsceneisattheintersectionwhenthetrafficlightisgreen.Asvehiclesarehighlymobileandthenetworktypologychangesdynamically,thepaperdividesthegreenlighttimeintoequalslotsandcalculatesAPs'priceswiththepresentedpricinggameineachtimeslot.Thewholeprocessisarepeatedgamemodel.ThefinalequilibriumsolutionsetisAPs'pricingstrategy,andthepaperclaimthatthisequilibriumsolutionsetcanaffectvehicles'selectionandensureAPs'load-balancing.Simulationresultsbasedonarealisticvehiculartrafficmodeldemonstratetheeffectivenessofthegamemethod.