In　the　real　environment,　urban　road　networks　(URNs)　are　often　threatened　by　internal　and　external　disruptions.　Given　that　URNs　tend　to　suffer　from　the　capacity　degradation　caused　by　these　disruptions,　how　to　minimize　losses　is　the　key　focus　of　traffic　research.　In　this　study,　we　propose　a　day-to-day　dynamic　evolution　model　for　traffic　assignment　to　analyze　the　vulnerability　of　urban　road　networks　under　different　signal　control　strategies.　The　analysis　of　the　vulnerability　of　a　small　road　network　shows　that　different　adaptive　signal　control　strategies　can　affect　the　vulnerability　of　urban　road　networks.　©　Published　under　licence　by　IOP　Publishing　Ltd.