Using recorded sound spectra profile as input data for real-time short-term urban road-traffic-flow estimation

Torija Martinez, AJ ORCID: https://orcid.org/0000-0002-5915-3736 and Ruiz, DP 2012, 'Using recorded sound spectra profile as input data for real-time short-term urban road-traffic-flow estimation' , Science of the Total Environment, 435-43 , pp. 270-279.

[img] PDF - Published Version
Restricted to Repository staff only

Download (892kB) | Request a copy

Abstract

Road traffic has a heavy impact on the urban sound environment, constituting the main source of noise and widely dominating its spectral composition. In this context, our research investigates the use of recorded sound spectra as input data for the development of real-time short-term road traffic flow estimation models. For this, a series of models based on the use of Multilayer Perceptron Neural Networks, multiple linear regression, and the Fisher linear discriminant were implemented to estimate road traffic flow as well as to classify it according to the composition of heavy vehicles and motorcycles/mopeds. In view of the results, the use of the 50–400 Hz and 1–2.5 kHz frequency ranges as input variables in multilayer perceptron-based models successfully estimated urban road traffic flow with an average percentage of explained variance equal to 86%, while the classification of the urban road traffic flow gave an average success rate of 96.1%.

Item Type: Article
Additional Information: Patent based on this paper: see: https://patentimages.storage.googleapis.com/56/99/77/a61a18fa51ef04/WO2014020213A1.pdf
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Science of the Total Environment
Publisher: Elsevier
ISSN: 0048-9697
Related URLs:
Funders: CONSEJERIA DE INNOVACION, CIENCIA Y EMPRESA. JUNTA DE ANDALUCIA
Depositing User: Dr Antonio J Torija Martinez
Date Deposited: 02 Dec 2019 14:08
Last Modified: 03 Jan 2020 16:01
URI: http://usir.salford.ac.uk/id/eprint/53229

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)

Downloads

Downloads per month over past year