In　order　to　quickly　recover　the　transportation　network　after　a　disaster,　this　paper　considers　a　recovery　scenario　in　which　multiple　repair　teams　perform　repair　work.　Also,　considering　that　there　is　an　interval　between　repair　tasks,　the　travel　time　spent　before　reaching　each　repair　task　to　perform　repair　work　is　non-negligible,　so　the　routing　planning　of　repair　teams　is　required.　To　solve　this　problem,　this　paper　proposes　a　resilience-based　routing　planning　and　scheduling　model　for　multiple　repair　teams　and　gives　the　task　schedule　of　each　repair　team　and　the　recovery　completion　time　of　each　task　in　the　whole　repair　work.　In　order　to　obtain　the　solution　results　of　the　proposed　complex　problem,　this　paper　uses　the　Ant　Colony　System　algorithm　for　solving　it.