Project: Predicting Vehicle Pass-By Noise Using Neural Nets

Reference: CSU 28/4/46

Last update: 01/08/2003 15:52:46

Objectives

To develop a method of predicting vehicle pass-by noise levels from design information early in the development of a new vehicle.

Description

The research will involve a neural network computing approach to create modelling tools for predicting maximum pass-by noise levels and relative annoyance levels.

Contractor(s)

Rover Group Ltd
Vehicle Refinement, Gaydon Test Centre, Warwick, CV4 7AL
01926 643033

Perstorp Components Ltd
Cromwell Road, St. Neots, Cambridgeshire, PE19 2ER
01480 215218

Contract details

Cost to the Department: £62,523.00

Actual start date: 01 July 1997

Actual completion date: 26 January 2000

Publication(s)

Predicting Vehicle Pass-by Noise Using Neral Networks
Author: Jeff Fry and Paul Jennings
Publication date: 01/10/1999
Source: Warwick Manufacturing Group, University of Warwick, Coventry CV4 7AL

Summary of results

  1. Executive Summary available on DfT Research Web-page.

Departmental Assessment Status: Project completed prior to implementation of Departmental Publication Scheme.