This　paper　proposes　an　optimal　urban　expressway　system　model　with　consideration　to　the　interaction　equilibrium　between　transportation　and　land　use.　In　the　suggested　model,　three　kinds　of　economic　agents　were　examined.　Government　departments　design　an　optimal　urban　expressway　system　in　order　to　maximize　the　urban　system＇s　total　utility　under　a　limited　budget.　However,　households　and　firms　choose　their　locations　according　to　the　attractiveness　of　each　traffic　zone　related　to　road　network　accessibility　and　housing　prices.　In　addition,　this　optimization　problem　is　formulated　as　a　bi-level　program　in　which　the　upper-level　subprogram　maximize　the　urban　system＇s　total　utility　from　the　government　departments＇　point　of　view,　whereas　the　lower-level　subprogram　uses　the　transportation　and　land　use　equilibrium　model.　A　Genetic　Algorithm　(GA)　was　used　to　solve　this　mixed　integer　non-linear　programming　problem.　Finally,　this　work　used　numerical　experiments　to　demonstrate　the　properties　of　the　problem　and　the　performance　of　our　proposed　model.