Vehicle Signal Analysis Using Artificial Neural Networks for a Bridge Weigh-in-Motion System

Vehicle Signal Analysis Using Artificial Neural Networks for a Bridge Weigh-in-Motion System

This paper describes the procedures for development of signal analysis algorithms using artificial neural networks for Bridge Weigh-in-Motion (B-WIM) systems. Through the analysis procedure, the extraction of information concerning heavy traffic vehicles such as weight, speed, and number of axles fr...

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Bibliographic Details
Main Authors: Min-Seok Park, Byung-Wan Jo, Sungkon Kim, Jungwhee Lee
Format: Article
Language:English
Published: MDPI AG 2009-10-01
Series:Sensors
Subjects:
bridge weigh-in-motion (B-WIM)
artificial neural network (ANN)
cable-stayed bridge
vehicle information
Online Access:http://www.mdpi.com/1424-8220/9/10/7943/

Internet

http://www.mdpi.com/1424-8220/9/10/7943/

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