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

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.