In this paper we propose an algorithm for solving a Multi-Object Adaptive Cruise Control problem. In a multi-object traffic scene the optimal acceleration is to be found respecting traffic rules, safety distances and driver intentions. The objective function is modelled as a quadratic cost function for the discrete time piecewise affine system. We find the optimal state-feedback control law by solving the underlying constrained finite time optimal control problem via dynamic programming.