DocumentCode
2045014
Title
Study on Expressway Control Method Based on FNN
Author
Zhu, Yin
Author_Institution
Traffic Manage. Eng. Dept., Chinese People´´s Public Security Univ., Beijing
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IWISA.2009.5073136
Filename
5073136
Link To Document