Urban traffic problems including traffic accidents and traffic congestion or jams have been very serious for us. Urban traffic flow simulation has been important for mak- ing new control strategies that can reduce traffic jams. In this paper, we propose a method that can dynamically con- trol traffic signals by equivalently representing as the con- straint satisfaction problem, CSP. To solve local congestion in each intersection, we define the whole system as multi- agent systems where the represented CSP is extended to distributed CSP, DCSP, in each of which variable is dis- tributed among each intersection agent. Each intersection agent determines some signal parameters by solving the DCSP. The proposed method is implemented on our sepa- rately developed agent-oriented urban traffic simulator and applied to some roadnetworks, whose experimental simula- tions demonstrated that our method can effectively reduce traffic jams even in the roadnetworks where traffic jams are liable to occur.