Data Science and Intelligent Computing Techniques
Development of Noise Prediction Model for Road Traffic at Selected Hospitals of Surat City Using Genetic Algorithm Optimization
Authors: Ramesh Ranpise, Bhaven Tandel and Paresh Parmar
Publishing Date: 20-12-2023
ISBN: 978-81-955020-2-8
Abstract
The patients of hospitals are vulnerable to noise and can adversely be affected due to noise exposure. Mixed landuse such as residential zones and commercial centres, hospitals located beside commercial buildings, etc., are commonly seen phenomena in India. This leads to an increase in noise levels in silence zones and violates the standard norms given by CPCB. This study aims to develop a noise prediction model by the application of a genetic algorithm for selected hospitals in Surat city A Genetic Algorithm based mathematical model is designed for three hospitals in Surat city, Gujarat, namely (1) Sushrut hospital and (2) Tristar hospital and (3) Reliance hospital. For the prediction model, the daytime (9:00:00 A.M – 9:00:00 P.M) 12 hrs. data is used. It was collected as per CPCB guidelines at each location using KIMO DB 300/2, Class – 2 sound level meter. Data like traffic composition, vehicle speed, meteorological parameters and geographical features were also recorded. Many factors affect the noise levels. But in this study, three major factors included in the noise prediction model are traffic flow (composition), speed of vehicle and aspect ratio. The predicted noise levels are compared with measured noise levels. The coefficient of determination (R2) values for all three locations are either nearer to 0.7 or greater than 0.7. Also, the values of Karl Pearson's coefficient of correlation (r) for each location are more significant than 0.8 near 1. These all indicate that the noise prediction model is strongly correlated with monitored data. Also, the model gives the results accurate within 0.649%, and globally, the models are found valid within ±1.5%. Hence, it is concluded that the model shows very precise and satisfactory results.
Keywords
Noise prediction model, silence zones, hospitals, genetic algorithm optimization
Cite as
Ramesh Ranpise, Bhaven Tandel and Paresh Parmar, "Development of Noise Prediction Model for Road Traffic at Selected Hospitals of Surat City Using Genetic Algorithm Optimization", In: Satyasai Jagannath Nanda and Rajendra Prasad Yadav (eds), Data Science and Intelligent Computing Techniques, SCRS, India, 2023, pp. 859-867. https://doi.org/10.56155/978-81-955020-2-8-73