Title :
Study on Expressway Control Method Based on FNN
Author_Institution :
Traffic Manage. Eng. Dept., Chinese People´´s Public Security Univ., Beijing
Abstract :
In this paper, the advanced fuzzy neural network is brought into the expressway ramp control by integrating the technology of fuzzy system and neutral network, which simplifies the control process and could make it a real-time control accurately. This approach considers both the traffic density and the entrance queue length together and aims at controlling both of them simultaneously. The study shows that fuzzy-neural network controllers in the expressway ramp control can help avoiding expressway congestion greatly, reducing uneven traffic density or make mainline traffic condition stable.
Keywords :
fuzzy control; neurocontrollers; traffic control; entrance queue length; expressway congestion control; expressway ramp control; fuzzy neural network control; traffic density; Communication system traffic control; Control systems; Detectors; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Process control; Real time systems; Telecommunication traffic; Traffic control;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5073136