A New Hybrid Intelligent Approach for Traffic Flow Forecasting based on Fuzzy Controllers

Abstract

Traffic flow forecasting, one of the solutions that prevent congestion on highways. Due to different behavioral patterns of traffic flow, a variety of different conditions, including the possibility of data loss due to a disturbance of failure or faulty sensors, different climatic conditions such as rain or snow, and various conditions such as traffic congestion and accident occurrence on the road, a new prediction model is presented in this paper. We have examined the robustness of the model in the presence of different types of data in a disturbance. Simulations based on real data were performed in MATLAB to show the performance of this new model.