Mesoscopic　traffic　simulation　is　a　promising　technology　for　handling　large-scale　dynamic　traffic　assignment　problems.　Meanwhile,　GPU　has　been　a　research　hotspot　in　the　last　decade　because　of　its　massive　parallel　performance　compared　with　CPU.　Although　several　works　deal　with　GPU-based　parallel　performance,　few　have　addressed　the　issue　of　real-world　network　applications.　Thus,　the　performance　of　GPU　on　realistic　road　networks　is　still　not　clear.　In　this　paper,　an　ideal　grid　network　and　a　realistic　Singapore　expressway　network　are　implemented　and　compared.　The　former　gets　a　speedup　of　10.00　while　the　latter　only　get　a　speedup　of　2.37.　The　two　main　reasons　for　this　lower　efficiency　of　a　real　network　are　the　more　complex　data　structure　caused　by　network　topology　and　fewer　numbers　of　threads　due　to　the　scale　of　the　expressway　network.　Future　works　need　more　effort　to　develop　a　system　with　better　data　structure　and　better　designed　concurrent　threads.　(C)　2017　Elsevier　B.V.　All　rights　reserved.