An Approach for Short Term Traffic Flow Forecasting based on Fuzzy Logic Control

In this paper, fuzzy logic control is applied to forecast the short-term traffic flow and traffic guidance. Because of the factors of time correlation and spatial correlation, we construct the short-term traffic flow forecasting model using fuzzy logic control that can handle non-linear plant behavior. In order to find a feasibility way of traffic flow prediction, we deal the combination of time correlation traffic value and space correlation traffic value as the input variables. Considering the real condition, we use triangular and trapezoid membership function to design the belongings relationship. Five fuzzy rules are applied in the control. Last, we use fuzzy logic toolbox to simulate the short term traffic flow forecasting basing on the fuzzy logic control. The system input/output curve result shows that this method can have a good performance for short-term traffic flow prediction.