In　the　optimization　process　of　the　routes　of　customized　buses,　there　are　numerous　uncertainties　in　the　route　planning　and　setting.　In　this　study,　the　uncertainty　theory　is　introduced　into　the　optimization　problem　of　a　customized　bus　route,　and　an　uncertain　customized　bus　route　optimization　model　is　established,　which　aims　at　the　minimizing　the　total　mileage　of　vehicle　operation.　An　improved　genetic　algorithm　is　used　to　solve　the　model,　whose　feasibility　is　verified　by　a　case　study.　The　results　show　that　the　optimization　model　based　on　the　uncertainty　theory　can　yield　a　reasonable　customized　bus　route　optimization　scheme,　and　the　total　mileage　reduced　from　35.6　kilometers　to　32.2　kilometers.　This　research　provides　the　theoretical　support　for　the　optimization　of　customized　bus　routes.　©　2021　Zi　Sang　et　al.