  The raising level of traffic imposes a great demand in the growth of
intelligent traffic systems. With increase in complexity of alleviation,
finding solutions to traffic congestion problem have become one of the
challenges. Various optimization techniques have been proposed in literature to
meet these challenges. This paper surveys different optimization techniques
based on heuristics for automated traffic congestion control. Moreover, an
approach based on River Formation Dynamics scheme is introduced to analyze the
optimization problem for traffic congestion control and a scheme to extract
real time information through Internet of Things is presented for superior
efficiency and productivity.
