This　paper　proposes　a　new　method　for　service　restoration　of　distribution　network　with　the　support　of　transportable　power　sources　(TPSs)　and　repair　crews　(RCs).　Firstly,　a　coupling　model　of　distribution　networks　and　vehicle　routing　of　TPSs　and　RCs　is　proposed,　where　the　TPSs　serve　as　emergency　power　supply　sources,　and　the　RCs　are　used　to　repair　the　faulted　lines.　Considering　the　uncertainty　of　traffic　congestion,　the　probability　distribution　of　the　travel　time　spent　on　each　road　is　derived　based　on　the　Nesterov　user　equilibrium　model,　and　a　two-stage　stochastic　program　is　formulated　to　determine　the　optimal　routings　of　TPSs　and　RCs.　To　efficiently　solve　the　proposed　stochastic　mixed-integer　linear　program　(MILP),　a　two-phase　scenario　reduction　method　is　then　developed　to　scale　down　the　problem　size,　and　an　adaptive　progressive　hedging　algorithm　is　used　for　an　efficient　solution.　The　effectiveness　of　the　proposed　methods　and　algorithms　has　been　illustrated　in　a　modified　IEEE　33-bus　system.