To　solve　the　urban　road　safety,　congestion,　pollution　and　efficiency,　we　need　grasp　accurate　real-time　traffic　conditions　of　the　city.　Intelligent　Traffic　need　to　discover　rules　and　provides　various　services　through　processing,　analysis　and　mining　massive　real-time　and　historical　data.　Big　Data　technology　is　an　effective　way　to　achieve　this　purpose.　Based　on　the　analysis　and　comparison　of　the　current　popular　processing　platforms　and　technologies　of　the　big　data,　this　paper　designs　a　new　framework　for　processing　traffic　big　data　that　is　fit　for　both　batch　processing　and　real-time　processing　at　the　same　time,　and　then　to　achieve　data　collection,　storage,　correlation,　semantic　processing　and　analysis　of　the　traffic　big　data　through　this　new　framework.　The　experimental　results　show　that　the　framework　can　real-time,　fast　and　accurate　processing　and　calculating　traffic　big　data.　©　2016,　UK　Simulation　Society.　All　rights　reserved.