Intelligent transportation system is a complex integrated system. The study on dynamic
transportation network assignment is one of its key techniques and is also the frontier and hot point
of transportation science. In this paper, according to a model on the assignment problem of dynamic
transportation network flows for system optimization, the solution to assignment problem is obtained
based on Kuhn-Tucker conditions of non-linear programming. Because transportation network is a
complex large system, the route searching steps for assignment are simplified by processing the
transportation network flows using the batch scheduling theory, and a batch parallel scheduling
algorithm of assignment problem is designed