This　paper　proposes　a　new　collaborative　pricing　scheme　for　a　power-transportation　coupled　network　based　on　the　variational　inequality　(VI)　approach.　In　the　proposed　scheme,　nodal　electricity　prices　and　congestion　tolls　on　roads　and　at　charging　stations　are　considered　to　coordinate　the　coupled　networks　in　order　to　minimize　the　operational　cost　of　the　whole　system.　The　prices　are　determined　by　a　second-order　cone-based　AC　power　flow　model　and　a　mixed　user　equilibrium　model,　respectively.　A　collaborative　pricing　model　(CPM)　is　then　built　based　on　the　two　models　and　the　interactions　between　them.　In　order　to　avoid　the　intractability　of　the　developed　non-convex　model,　the　CPM　is　transformed　into　the　VI　formulation.　With　proven　existence　and　uniqueness　of　solutions　of　the　VI　formulation,　a　new　prediction-correction　algorithm　is　proposed　to　accelerate　the　solution　of　the　CPM　problem,　which　is　guaranteed　to　converge　to　the　optimal　solution.　The　proposed　models　and　algorithm　are　verified　using　case　studies　on　a　real-world　test　system.　The　results　show　that　the　proposed　pricing　scheme　can　reduce　the　operational　cost　and　the　proposed　algorithm　shows　improved　convergence　and　higher　computation　efficiency　compared　with　the　existing　algorithms.