关键词: 交通工程, 交通控制, 匝道控制, 匝道调节率, 模糊神经网络

Abstract: On relieving the growing serious urban traffic congestions, the problem of designing fuzzy control strategies for periphery networks that include freeway and related urban expressway(abbreviations: junction) is considered starting with the analysis on impact factors about ramp metering control. The presented novel methodology based on the fuzzy control and neural networks modeling paradigm whose input variables are the differentials between mainline real condition and expected condition and the ramp condition and output variables is the ramp control metering law. Based on the strategy, combining with space structure analysis of interchange in real world, the control metering method for single ramp and coordinated double ramps control metering is presented respectively and the corresponding 5 layer fuzzy neural network (FNN) model is also built. A preliminary simulation-based investigation of the ramp metering control problem for periphery networks consists of G2 freeway, the 3th and 4th ring road using the methodology demonstrates the comparative efficiency.

Key words: traffic engineering, traffic control, ramp metering, ramp metering rate, fuzzy neural network