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Traffic Mark Classification Using Artificial Neural Networks

by Jiuyi Hua, Univ of Delaware, Newark, United States,
Ardeshir Faghri, Univ of Delaware, Newark, United States,



Document Type: Proceeding Paper

Part of: Pacific Rim TransTech Conference: Volume I: Advanced Technologies

Abstract:

A system using artificial neural networks to identify types of pavement marks and to rank their recognizabilities is proposed.The system stores different types of traffic marks; associates the original traffic mark to the distorted input mark; and finally, gives an index indicating the recognizability of the input traffic mark. Along with the developments of the system, the capabilities of neural networks in storing and generalizing common sense knowledge is also discussed.

Subject Headings: Traffic management | Neural networks | Highway and road management | Transportation networks | Traffic safety | Streets | Rehabilitation

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