To　improve　the　utilization　of　buses,　two　bus　dispatching　schemes　are　designed　for　peak　and　non-peak　hours.　Under　the　uncertainty　of　passenger　waiting　time,　inter-station　running　time,　and　operation　cost　of　different　types　of　vehicles,　an　uncertain　multi-objective　programming　model　for　hybrid　vehicles　is　established　based　on　the　theory　of　uncertainty.　The　model　was　solved　by　a　genetic　algorithm,　performed　in　Python.　Taking　the　No.211　bus　in　Nanchang　City　as　an　example,　simulation　results　showed　that,　adjusting　the　adjustment　of　the　vehicle　schedule　can　reduce　the　operation　cost　and　improve　the　operation　efficiency　based　on　the　continuous　operation　of　the　buses.　In　the　peak　period,　with　the　use　of　pure　electric　buses　and　the　departure　interval　reduced　by　25%,　the　total　cost　will　be　reduced　by　5%　and　the　average　delay　will　be　reduced　by　4%.　During　the　non-peak　period,　the　total　cost　is　reduced　by　10%　and　the　average　delay　is　reduced　by　3%.　With　the　two　sets　of　simulations,　it　was　found　that　the　reasonable　schedule　of　public　transport　vehicles　considering　uncertainty　is　conducive　to　making　full　use　of　resources　and　improving　operation　efficiency.　Copyright　©　2021　by　Science　Press.