The　skyline　query　is　one　of　the　most　important　supporting　technologies　for　the　location-based　query　services　in　the　road　network.　Usually,　when　a　user　queries　the　skyline　points　in　the　road　network,　the　query　area　is　a　user-centered　circle　or　rectangle　area,　without　considering　the　impact　of　the　current　movement　speed　and　direction　of　the　user　on　the　formation　of　the　query　area.　In　this　context,　a　speed　and　direction　aware　skyline　query　method　is　proposed,　which　can　provide　the　skyline　query　area　for　the　users　by　considering　their　moving　speed　and　direction.　Since　the　efficiency　to　directly　obtain　points　of　interest　from　speed　and　direction　aware　query　area　is　not　high,　a　Voronoi　based　speed　and　direction　query　area　generation　algorithm　is　proposed　to　approximate　the　query　area,　so　as　to　improve　the　obtaining　efficiency　of　points　of　interest　in　the　area.　The　experiments　on　road　networks　and　points　of　interest　data　of　Beijing　show　the　performance　of　the　proposed　method　in　terms　of　query　efficiency　and　quality.