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Best Practices for Road Weather Management Version 2.0

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Title:

Artificial Neural Network Technologies Applied to Road Condition Classification Using Acoustic Signals

Abstract:

The goal of the ARCANA project is to produce a road condition sensor that can be used in road weather information systems. ARCANA implements signal processing and artificial neural network (ANN) technology to classify signals recorded with a microphone. This paper is a review of ANN technologies and their application to ARCANA. The entire process is discussed from data acquisition, feature extraction, and ANN design to the actual training of the network. Preliminary classification results in an independent validation set yielded 88 percent correct classification. This was improved to a full 100 percent with the addition of a confidence level threshold.

Source(s):

10th Standing International Road WEather Conference (SIRWEC)

https://works.bepress.com/kevin-mcfall/25/

Date: NA

Author:

Keywords:


Pavement condition

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