Designing RBF Neural Network for Electronic Toll Collection with the SOPC

摘要

This paper describes a real time system that allows us to implement the Electronic Toll Collection (ETC). ETC is one of the important part of the Intelligent Transportation System. A series of new technologies such as automatic control, electronic monitor, computer network and communication apply to the ETC. This paper proposes a modified speediness RBF neural network to module the freeway traffic flow. Hardware implementations of the RBF approach have been realized on SOPC ( System on programmable chip) Experimental results show the training speed and the identification accuracy is effective to the traffic.