Traditionally,　urban　land　use　planning　belongs　to　urban　planning　and　transportation　infrastructure　construction　belongs　to　transportation　planning.　However,　it　is　widely　recognized　that　the　integrated　optimization　of　urban　and　transportation　planning　is　the　development　trend　in　the　future.　This　paper　will　develop　a　methodology　to　model　the　integrated　transportation　and　land　use　planning　problem　that　will　consider　the　stochastic　characteristic　of　link　capacity　and　travel　demand.　The　integrated　planning　problem　will　be　formulated　as　a　bilevel　programming　model.　In　this　programming,　the　upper-level　decision　makers　are　urban　planners　and　transportation　engineers　that　aim　to　maximize　network　performance　by　making　integrated　planning　schemes.　Specifically,　the　planners　should　determine　how　to　allocate　limited　resources　between　the　development　of　residential　and　working　locations,　and　improvement　of　the　traffic　network.　The　lower-level　decision　maker　is　the　heterogenous　traveler　that　makes　residential　and　working　location　decisions,　and　the　choice　of　travel　path.　The　land　use　pattern　is　indicated　by　the　spatial　distribution　of　residential　and　working　locations.　Finally,　the　particle　swarm　optimization　(PSO)　algorithm　will　be　used　to　solve　the　bilevel　model.　A　set　of　numerical　experiments　will　be　carried　out　to　illustrate　the　application　of　this　model.