Traffic Signal Control Using Fuzzy and Neural Network
This paper presents an adaptive traffic signal method based on fuzzy -neural networks for an isolated four-approaches intersection with through and lest-turning movements. This method has the ability to make adjustments to signal timing in response to observed changes. The urgency degree term, which can describe the different users demand for green time is used in decisionmaking by which strategy of signal timing can be determined. Using three levels model based on fuzzy -neural networks (FNN), we can determine whether to extend or terminate the current signal phase and select the sequences of phases. Simulation results show that the fuzzy controller has the ability to adjust its signal timing in response to changing traffic conditions on a real-time basis, and our proposed controller produces lower vehicle delays and percentage of stopped vehicles than the trafficactuated controller.
Wu Wei Mingjun Wang
Department of Road and Traffic Engineering, Changsha Communications University Changsha, 410076, P.R. China
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
343-348
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）