The　Internet　of　Vehicles　(IoV)　has　become　an　indispensable　part　of　a　smart　city,　which　can　provide　useful　traffic　information　to　supervise　and　guide　drivers　in　metropolis.　However,　as　the　traffic　data　scales　to　a　great　volume,　it　becomes　difficult　for　conventional　database　management　tools　to　meet　the　requirement　of　massive　data　analysis.　HBase　is　an　open　source,　non-relational,　distributed　database　running　on　top　of　Hadoop　Distributed　File　System　(HDFS).　It　can　solve　the　problems　in　massive　data　querying　that　an　IoV　system　faces　nowadays.　In　this　paper,　we　propose　a　massive　traffic　data　querying　solution　using　HBase　to　analyze　the　data　collected　in　practice.　In　this　solution,　we　firstly　preprocess　the　original　data　and　then　propose　a　schema　for　the　HBase　table,　especially　a　row　key　structure　design　to　storage　data　effectively.　Based　on　the　schema,　several　querying　patterns　are　designed　to　realize　various　functions　that　are　meaningful　in　IoV　applications.　The　performance　of　the　proposed　row　key　design　is　compared　with　the　strategy　without　row　key　design　on　an　experimental　evaluation,　and　the　results　show　that　the　proposed　schema　has　a　promising　performance　in　time　consumption.　©　2016　IEEE.