Based　on　the　survey　data　of　freight　vehicles　for　several　years,　this　paper　carries　out　the　multiple　regression　analysis　on　100　km　energy　consumption　of　single-vehicles　by　Pearson　correlation　coefficient　and　determines　three　key　influence　factors　of　the　fuel　consumption　per　hundred　kilometers　of　freight　vehicles　by　related　degree,　and　quantify　every　factor＇s　effect.　Using　the　results　of　the　quadratic　regression　to　establish　100　km　fuel　consumption　model　for　single　vehicle,　the　high-precision　fitting　of　discrete　fuel　consumption　of　freight　vehicles　is　achieved　under　the　complex　factors.　Meanwhile,　after　compared　with　Beijing＇s　freight　statistics　on　energy　consumption　and　analyzed　the　typical　cases　under　the　impact　of　policies,　the　response　to　each　factor　variable　under　the　influence　of　policies　is　verified,　the　accuracy　of　quantitative　calculation　of　fleet　energy　consumption　is　defined,　and　the　analysis　on　the　variation　characteristics　of　freight　energy　consumption　under　pollutant　emission　reduction　policy　is　obtained,　which　provides　the　support　for　the　refined　energy　consumption　measurement　and　calculation　in　freight　industry.　Copyright　©　2018　by　Science　Press.