Based　on　the　known　demand　of　passengers,　vehicles　capacity　and　travel　time　between　stations,　a　flexible　bus　route　optimization　scheduling　model　for　multi-target　stations　is　proposed,　whose　target　is　minimizing　the　sum　of　the　vehicle　running　time　and　the　passenger　travel　time.　The　gravity　model　is　utilized　for　vehicle　routing　initialization,　and　the　heuristic　algorithm　is　applied　for　the　vehicle　routing　optimization.　According　to　the　results　of　simulation　cases,　when　there　are　large　differences　and　uncertainties　in　the　distribution　of　passenger　demand,　the　demand　of　all　passengers　can　still　be　satisfied,　and　the　total　travel　time　of　bus　is　relatively　stable,　and　the　path　optimization　calculation　of　the　system　takes　less　time,　which　verify　the　practicability　of　the　model　and　the　algorithm.　The　research　results　show　that　the　flexible　bus　route　optimization　scheduling　model　for　multi-objective　stations　can　meet　the　passenger　demand　to　the　greatest　extent　and　achieve　the　maximum　balance　between　enterprise　cost,　passenger　time　cost　and　demand　response,　which　is　of　great　significance　in　the　actual　traffic.　Copyright　©　2019　by　Science　Press.