1993 Volume 5 Issue 4 Pages 840-846
Predicted volume of traffic is the most important factor for the feed forward ventilation control of a tunnel on the expressway. Several prediction methods were applied to the traffic prediction. However, it is difficult to obtain high accuracy of traffic prediction by conventional methods. Such as the self regression analysis, kalman filter, and other methods were developed to solve the problem. We developed the prediction method for traffic based on fuzzy reasoning. This prediction method used the traffic models and the traffic measured past one hour as the inference parameters, and it infers the traffic in next one hour period. We made a practical application of this prediction method based on fuzzy reasoning and obtained high precise performance. This paper shows the traffic prediction technique based on fuzzy reasoning, and the results which applied on the practical system.
