The　paper　deals　with　the　positioning　problem　of　Micro　Intelligent　Vehicles　(MicroIVs)　in　Intelligent　Transportation　Simulation　Platforms　(ITSPs).　We　present　a　practical　positioning　solution,　in　which　the　absolute　position　data　and　the　relative　position　data　of　each　MicroIV　are　fused　together　via　a　Kalman　filter　and　an　assisted　update　algorithm.　Precisely,　each　MicroIV　gets　its　absolute　position　data　through　an　equipped　Radio　Frequency　Identification　(RFID)　reader　which　reads　the　RFID　passive　tags　embedded　in　the　platform.　Meanwhile,　a　Dead　Reckoning　(DR)　method　is　adopted　to　calculate　the　relative　position　of　MicroIV.　Then　the　Kalman　filter　is　designed　to　fuse　the　absolute　and　relative　position　data.　In　addition,　to　compensate　occasional　RFID　reading　missing,　the　assisted　update　algorithm　of　the　absolute　position　data　is　proposed.　Experimental　evaluation　validates　the　effectiveness　of　the　method.　©　2015,　Springer　Science+Business　Media　New　York.