For the characteristic of strong nonlinearity and uncertainty of traffic system, an approximate dynamic
programming(ADP) identification method is developed to estimate the parameters of the general discrete-time nonlinear
traffic flow system. With rigorous analysis, it is shown that the proposed identification scheme, which is independent of
the precise traffic flow model, can guarantee the convergence. Simulation results show the effectiveness of the proposed
approach.