THE REAL-TIME FUZZY FORECAST OF TRAFFIC VOLUME BASED ON A NEURAL NETWORK
Lianyu Chu, Zhaosheng Yang · Zhongguo gonglu xuebao · 1998
The characteristics of traffic in the cities in which advanced traffic control systems are installed are analyzed in this paper. A real-time fuzzy forecasting system of traffic volume based on neural network is developed. Aimed at the flaws of fuzzy reasoning in dealing with experiential knowlege, the memorization of fuzzy rules is realized by using the neural network with higher intelligence. An emulation test of the forecasting system in Changchun city of China is carried out to find out how well it works.