Research on Grid-based Short-term Traffic Flow Forecast Technology

Short-term traffic flow forecast is an important topic in the research field of intelligent transportation systems. The article analyses the preliminary results in the short-term traffic flow forecast, takes full advantage of the characteristics of grid technology, and builds a model based on chaos theory and neural network. It uses grid resource management mechanisms and migration strategies to solve issues of effectiveness, and proposes the algorithm of minimum price for Self-Governing Domain on the aspect of resource management to improve the efficiency and performance.