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Analysis and forecasting for short-term traffic flow have become a critical problem in intelligent transportation system (ITS). This paper introduces the basic theory and features of General Regression Neural Network (GRNN) and its advantages. A forecasting model based on GRNN is built for short-term traffic flow time series at urban road section in 10-minutes interval. In order to get ideal forecasting...
According to the traffic flow features of urban intersections, a multi-phase adaptive control algorithm is given. The structure of network and program of realizing fuzzy control based on improved multi-layer BP neural networks are obtained. Results of simulation research show that with the abilities of learning and generation, the fuzzy neural controller can cope with the fast changing of arriving...
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