A road tunnel longitudinal ventilation control system based on fuzzy-neural network

Author

Zhang, Youshi ; Jin, Weidong

Author_Institution

Sch. of Electr. Eng., Southwest Jiao Tong Univ., Chengdu, China

Volume

4

fYear

2004

Firstpage

3570

Abstract

This paper presented a road-tunnel-longitudinal-ventilation control model based on fuzzy neural network. Using the data of traffic flux, length of the vehicle, average speed and artificial neural network, a mathematic model of the pollutant concentration was constructed and the pollutant concentration was forecasted. The concentration was used as feedback signal and controlled the road tunnel ventilation equipment using the fuzzy logic control model. Computer simulation results show that the system can overcome effectively the large delay characteristic of the traditional hierarchical feedback control system and achieves good control results.

Keywords

feedback; fuzzy control; fuzzy neural nets; mathematical analysis; neurocontrollers; traffic control; ventilation; artificial neural network; feedback control system; feedback signal; fuzzy logic control model; fuzzy-neural network; mathematic model; pollutant concentration; road tunnel longitudinal ventilation control system; traffic flux data; Artificial neural networks; Communication system traffic control; Control systems; Fuzzy control; Fuzzy neural networks; Pollution; Roads; Traffic control; Vehicles; Ventilation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on

Print_ISBN

0-7803-8273-0

Type

conf

DOI

10.1109/WCICA.2004.1343212

Filename

1343212