The　accurate　measurement　of　traffic　states　of　the　road　traffic　network　can　provide　decision-making　for　both　travellers　and　traffic　managers.　In　this　paper,　an　algorithm　is　presented　to　estimate　traffic　states　of　the　road　traffic　network　under　high　data　loss　rate.　Firstly,　the　relationships　between　the　compressive　sensing　and　the　road　traffic　states　measurement　are　discussed.　Then　the　road　traffic　states　measurement　approach　under　high　data　loss　rate　is　presented.　The　parameters　determination　and　the　restrictiveness　analysis　of　this　algorithm　are　also　discussed.　Finally　one　typical　road　network　in　Beijing　is　adopted　for　case　studies.　The　final　results　of　the　experiments　are　listed,　which　prove　that　this　road　traffic　states　measurement　approach　under　high　data　loss　rate　is　feasible　and　can　achieve　a　high　accuracy.　(C)　2015　Elsevier　Ltd.　All　rights　reserved.