Short-term traffic flow forecast of highway network based on chaos time series method

Hao Zhang

Department industrial engineering, Tsinghua University, Beijing, China, 100084

With the construction of the highway network and the growing traffic flows, demand for real-time control and guiding service have become increasingly prominent. As for short-term forecast of highway network, it is not only the basis and foundation of the real-time control and guiding service for traffic flows, and the precise forecast result will have a magnificent impact on improving the traffic capacity and service levels. This paper builds a short-term traffic flows forecast model for highway network based on chaotic time series analysis and prediction theory. The forecast of the traffic flows in given areas can be calculated. Results show that this model is feasible and has a high accuracy.