Noise Assessment during Motor Race Events: New Approach and Innovative Indicators

Author:

Mascolo Aurora1,Rossi Domenico1,Pascale Antonio2,Mancini Simona3,Coelho Margarida C.2,Guarnaccia Claudio1

Affiliation:

1. Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II, I-84084 Fisciano (SA), ITALY

2. Department of Mechanical Engineering, Centre for Mechanical Technology and Automation (TEMA) & Intelligent Systems Associate Laboratory (LASI), University of Aveiro, Campus Universitário de Santiago, 3810-193, PORTUGAL

3. Department of Information and Electric Engineering and Applied Mathematics, University of Salerno, Via Giovanni Paolo II, I-84084 Fisciano (SA), ITALY

Abstract

Motorsport races significantly affect, on a local scale, noise pollution even if they do not represent the majority of its contribution, which is a prerogative of road transportation, railways, airports, and industries. Nevertheless, such noise emissions surely affect the well-being of inhabitants in the surrounding area of the circuit. In fact, during a motor race event, vehicles produce high noise emissions while on tests, qualifying, and race sessions. Since noise indicators commonly used in national regulations are computed over fixed times, it is challenging to properly assess the total noise emission and immission at the receivers during such events. Moreover, in literature, only a few works can be found assessing this specific issue, and consequently, there’s also a lack of appropriate methods to properly measure the global noise emission of each event. In this contribution, the authors report the characterization of noise emission during motor race events by using two new acoustic indicators, namely LEL (Lap Equivalent Level) and REL (Race Equivalent Level) starting from noise data collected on different points along a racing circuit. Measurements show that the REL tends to stabilize its value during a race, suggesting that its modelling can be achieved only based on the average LEL and the number of vehicles participating in a race. These indicators will allow predicting the total noise emission at a certain receiver of a motor race event by knowing the number and type of cars involved, without using the duration of the race itself.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

General Energy,General Environmental Science,Geography, Planning and Development

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Diesel and bi-fuel probe vehicles noise emission assessment as a function of speed, gear and RPM;AIP Conference Proceedings;2024

2. Optimization of Dataset Generation for a Multilinear Regressive Road Traffic Noise Model;WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT;2023-11-09

3. Sensitivity Analysis of the Calibration of Dataset for a Road Traffic Noise Multilinear Regressive Model;2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC);2023-07-19

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