This　paper　proposes　a　new　traffic　assignment　model,　named　an　N-path　logit-based　stochastic　user　equilibrium　(NPSUE),　which　considers　not　only　road　users＇　perceptual　errors　in　path　choices,　but　also　users＇　heterogeneity　that　allows　the　numbers　of　the　limited　path　sets　for　each　user　to　be　different.　The　property　of　the　N-path　user　equilibrium　(NPUE)　proposed　in　Dung-Ying　Lin　(2014)　is　first　reanalyzed,　and　then　the　optimization　program　for　the　NPSUE　models　as　well　as　the　property　of　the　optimal　solution　are　explicitly　discussed.　For　each　type　of　users,　the　NPSUE　assignment　results　are　consistent　with　the　logit-assignment　results　in　their　limited　path　set.　Both　the　NPUE　and　NPSUE　models　are　tested　in　three　road　networks:　an　simple　grid　network,　Nguyen　and　Dupuis＇　network　and　Sioux　Falls　network.　The　numerical　results　show　that　(1)　the　NPUE　can　be　equivalent　to　the　UE　under　certain　conditions,　although　the　users　don＇t　have　full　information　on　the　available　paths;　(2)　the　proposed　NPSUE　may　provide　an　ideal　equilibrium　state　for　both　system　managers　and　road　users;　(3)　the　provision　of　appropriate　path　guidance　information　is　beneficial　to　both　system　managers　and　road　users;　otherwise,　the　provision　of　excessive　information　may　decrease　the　performance　of　the　road　network,　and　(4)　under　the　NPSUE　conditions,　the　provision　of　excessive　information　may　decrease　users＇　satisfaction.