In　order　to　accurately　calculate　the　pollutants　of　the　nonlocal　trucks　entering　Beijing,　the　study　of　the　quality　analysis　and　evaluation　of　data　from　multiple　sources　was　presented.　The　presentation　of　Beijing　City＇s　raw　big　data　including　city-wide　traffic　monitoring　data　and　vehicle　position　monitoring　data　was　given,　and　the　acquirement　of　the　structural　model　input　data　by　creating　a　heterogeneous　big　data　crossmatching　method　was　introduced　in　accordance　with　the　requirements　for　the　input　of　the　existing　macroscopic　pollutant　emission　model,　so　as　to　dramatically　improve　the　accuracy　of　the　model＇s　input　data.　In　addition,　Beijing　City＇s　nonlocal　truck　pollutant　emission　intensity　was　calculated　according　to　the　evaluation　requirements　given　the　relevant　policy　and　their　share　rate　in　Beijing　City＇s　pollutant　emissions　was　quantified,　thus　providing　support　for　scientific　decision-making　in　terms　to　its　nonlocal　truck　pollutant　emission　control.　©　2017,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.