Analysis of sound level emitted by vehicle regarding age

Sancho, Sergio; Gaja, E.; Peral-Orts, Ramón; Clemente, G.; Sanz, Juan Viñas; Velasco-Sánchez, Emilio

doi:10.1016/j.apacoust.2017.05.019

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…ITV records allow the study of the relationships between vehicle age, engine size, fuel type, and kilometers traveled, among others, as well as the probability of failing the gas emissions test [42][43][44]. Moreover, it is possible to determine the relationship between vehicle age and the noise levels emitted [45]. These studies make it possible to identify the most polluting vehicle groups and their characteristics, for which the kilometers traveled must be accurately estimated data, allowing environmental researchers or air quality administrations to understand the real situation of vehicle use and to evaluate air pollution control policies [46].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Its massive application to road safety studies in practice becomes impossible and economically unfeasible, limited by the volume and geographical origin of the same [34]. In other studies [31][32][33][42][43][44][45][47][48][49], the data have been obtained from the ITV centers, presenting as advantages the possibility of matching with other data sources (accident records) [31,32] and the follow-up of individual vehicles through the ITV test history [35], although this depends on the good quality of the data, and reliable data cannot be obtained for years prior to the implementation of mandatory ITV [33]. It has also been found that the information from ITV records is fragmented in local jurisdictions, limiting the geographical scope of the studies; on the other hand, the data obtained in ITVs have been used in accident and emission studies but not for mobility estimation.…”

Section: Literature Reviewmentioning

confidence: 99%

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Analysis and Prediction of Vehicle Kilometers Traveled: A Case Study in Spain

Narváez-Villa

Arenas-Ramírez

Mira

et al. 2021

IJERPH

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Knowledge of the kilometers traveled by vehicles is essential in transport and road safety studies as an indicator of exposure and mobility. Its application in the determination of user risk indices in a disaggregated manner is of great interest to the scientific community and the authorities in charge of ensuring road safety on highways. This study used a sample of the data recorded during passenger vehicle inspections at Vehicle Technical Inspection stations and housed in a data warehouse managed by the General Directorate for Traffic of Spain. This study has three notable characteristics: (1) a novel data source is explored, (2) the methodology developed applies to other types of vehicles, with the level of disaggregation the data allows, and (3) pattern extraction and the estimate of mobility contribute to the continuous and necessary improvement of road safety indicators and are aligned with goal 3 (Good Health and Well-Being: Target 3.6) of The United Nations Sustainable Development Goals of the 2030 Agenda. An Operational Data Warehouse was created from the sample received, which helped in obtaining inference values for the kilometers traveled by Spanish fleet vehicles with a level of disaggregation that, to the knowledge of the authors, was unreachable with advanced statistical models. Three machine learning methods, CART, random forest, and gradient boosting, were optimized and compared based on the performance metrics of the models. The three methods identified the age, engine size, and tare weight of passenger vehicles as the factors with greatest influence on their travel patterns.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Analysis and Prediction of Vehicle Kilometers Traveled: A Case Study in Spain

Narváez-Villa

Arenas-Ramírez

Mira

et al. 2021

IJERPH

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“…Numerical approach on noise generation of an engine was also studied by researchers [4]. Sancho et al (2017) were analysed the evolution of noise emission of motorcycles, light vehicles, buses, trucks and other type of vehicles in years [5]. Hoffmann and Kroop (2019) were studied for the combine model of tyre/road noise [6].…”

Section: Introductionmentioning

confidence: 99%

Investigating the noise generation of a compression ignition engine at different filters

Uludamar¹,

Özcanlı

Çelebi

et al. 2019

European Mechanical Science

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Noise is a very important phenomena for passenger comfort in a vehicle. Engine of the vehicles produce disturbing noises in different frequencies. In the application of acoustic, there are different filters to predict the sound pressure level and disturbing noises. The aim of the present study is to investigate the noise characteristic of a compression ignition engine at different weighting filters. In the experiments, the engine was fuelled with low sulphur diesel and sunflower biodiesel fuels and it run at different engine speeds ranging from 1200 to 2400 rpm, with steps of 300 rpm. The results indicated that noise characteristic of compression engine with engine speed shows different trends at A-weighting filter than C-and Z-weighting filters especially at 1500 rpm. Moreover, in the study, it was cleared that the SPL decrease with the addition of biodiesel fuel regardless of its ratio.

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On the Management of Activity of Technical Control of Motorvehicles

Burcea

Tabacu

2018

Proceedings of the 4th International Congress of Automotive and Transport Engineering (AMMA 2018)

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Analysis of sound level emitted by vehicle regarding age

Cited by 5 publications

References 3 publications

Analysis and Prediction of Vehicle Kilometers Traveled: A Case Study in Spain

Analysis and Prediction of Vehicle Kilometers Traveled: A Case Study in Spain

Investigating the noise generation of a compression ignition engine at different filters

On the Management of Activity of Technical Control of Motorvehicles

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