Traffic Mark Classification Using Artificial Neural Networks

See related content

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: Neural networks | Traffic management | Transportation networks | Pavements | Highways and roads |

Services: Buy this book/Buy this article


Return to search