Noise Levels Due to Commercial and Leisure Activities in Urban Areas: Experimental Validation of a Numerical Model Fed with Crowd Density Estimation Using Computer Vision
Noise levels of anthropogenic origin in urban environments have reached thresholds that pose serious public health and quality of life problems. This paper/work aims to examine these noise levels, the underlying causes of their increase and possible solutions through the implementation of predictive...
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MDPI AG
2025-06-01
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| Online Access: | https://www.mdpi.com/1424-8220/25/12/3604 |
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| author | Óscar Ramón-Turner Jacob D. R. Bordón Asunción González-Rodríguez Javier Lorenzo-Navarro Modesto Castrillón-Santana Guillermo M. Álamo Román Quevedo-Reina Carlos Romero-Sánchez Antonio T. Ester-Sánchez Cristina Medina Fidel García Orlando Maeso Juan J. Aznárez |
| author_facet | Óscar Ramón-Turner Jacob D. R. Bordón Asunción González-Rodríguez Javier Lorenzo-Navarro Modesto Castrillón-Santana Guillermo M. Álamo Román Quevedo-Reina Carlos Romero-Sánchez Antonio T. Ester-Sánchez Cristina Medina Fidel García Orlando Maeso Juan J. Aznárez |
| author_sort | Óscar Ramón-Turner |
| collection | DOAJ |
| description | Noise levels of anthropogenic origin in urban environments have reached thresholds that pose serious public health and quality of life problems. This paper/work aims to examine these noise levels, the underlying causes of their increase and possible solutions through the implementation of predictive models. To address this problem, as a first step, a simplified mathematical model capable of accurately predicting anthropogenic noise levels in a given area is developed. As variables, this model considers the crowd density, estimated using an Artificial Neural Network (ANN) capable of detecting people in images, as well as the geometric and architectural characteristics of the environment. To verify the model, several protocols have been developed for collecting experimental data. In a first phase, these experimental measurements were carried out in controlled environments, using loudspeakers as noise sources. In a second phase, these measurements were carried out in real environments, accounting for the specific noise sources present in each setting. The difference in sound levels between the model and reality is proven to be less than 3 dB in 75% and less than 3.5 dB in 100% of the cases examined in a controlled environment. In the real problem, in general terms and taking into account that the study is carried out on pedestrian streets, it seems that the model is able to reproduce most of the noise of anthropogenic origin. |
| format | Article |
| id | doaj-art-df2aae2432e94e3fb1708c2a84d03736 |
| institution | Matheson Library |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-df2aae2432e94e3fb1708c2a84d037362025-06-25T14:25:13ZengMDPI AGSensors1424-82202025-06-012512360410.3390/s25123604Noise Levels Due to Commercial and Leisure Activities in Urban Areas: Experimental Validation of a Numerical Model Fed with Crowd Density Estimation Using Computer VisionÓscar Ramón-Turner0Jacob D. R. Bordón1Asunción González-Rodríguez2Javier Lorenzo-Navarro3Modesto Castrillón-Santana4Guillermo M. Álamo5Román Quevedo-Reina6Carlos Romero-Sánchez7Antonio T. Ester-Sánchez8Cristina Medina9Fidel García10Orlando Maeso11Juan J. Aznárez12Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainFacultad de Ciencias Jurídicas, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas, SpainNoise levels of anthropogenic origin in urban environments have reached thresholds that pose serious public health and quality of life problems. This paper/work aims to examine these noise levels, the underlying causes of their increase and possible solutions through the implementation of predictive models. To address this problem, as a first step, a simplified mathematical model capable of accurately predicting anthropogenic noise levels in a given area is developed. As variables, this model considers the crowd density, estimated using an Artificial Neural Network (ANN) capable of detecting people in images, as well as the geometric and architectural characteristics of the environment. To verify the model, several protocols have been developed for collecting experimental data. In a first phase, these experimental measurements were carried out in controlled environments, using loudspeakers as noise sources. In a second phase, these measurements were carried out in real environments, accounting for the specific noise sources present in each setting. The difference in sound levels between the model and reality is proven to be less than 3 dB in 75% and less than 3.5 dB in 100% of the cases examined in a controlled environment. In the real problem, in general terms and taking into account that the study is carried out on pedestrian streets, it seems that the model is able to reproduce most of the noise of anthropogenic origin.https://www.mdpi.com/1424-8220/25/12/3604urban noisemeshfree methodsnoise predictionleisure noisenoise sensorscrowd density |
| spellingShingle | Óscar Ramón-Turner Jacob D. R. Bordón Asunción González-Rodríguez Javier Lorenzo-Navarro Modesto Castrillón-Santana Guillermo M. Álamo Román Quevedo-Reina Carlos Romero-Sánchez Antonio T. Ester-Sánchez Cristina Medina Fidel García Orlando Maeso Juan J. Aznárez Noise Levels Due to Commercial and Leisure Activities in Urban Areas: Experimental Validation of a Numerical Model Fed with Crowd Density Estimation Using Computer Vision Sensors urban noise meshfree methods noise prediction leisure noise noise sensors crowd density |
| title | Noise Levels Due to Commercial and Leisure Activities in Urban Areas: Experimental Validation of a Numerical Model Fed with Crowd Density Estimation Using Computer Vision |
| title_full | Noise Levels Due to Commercial and Leisure Activities in Urban Areas: Experimental Validation of a Numerical Model Fed with Crowd Density Estimation Using Computer Vision |
| title_fullStr | Noise Levels Due to Commercial and Leisure Activities in Urban Areas: Experimental Validation of a Numerical Model Fed with Crowd Density Estimation Using Computer Vision |
| title_full_unstemmed | Noise Levels Due to Commercial and Leisure Activities in Urban Areas: Experimental Validation of a Numerical Model Fed with Crowd Density Estimation Using Computer Vision |
| title_short | Noise Levels Due to Commercial and Leisure Activities in Urban Areas: Experimental Validation of a Numerical Model Fed with Crowd Density Estimation Using Computer Vision |
| title_sort | noise levels due to commercial and leisure activities in urban areas experimental validation of a numerical model fed with crowd density estimation using computer vision |
| topic | urban noise meshfree methods noise prediction leisure noise noise sensors crowd density |
| url | https://www.mdpi.com/1424-8220/25/12/3604 |
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