Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)

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A Machine Learning Model to Uncover the Impact of Traffic Noise Annoyance in the Inhabitants of Ranchi, Jharkhand

Authors
Abhishek Kumar1, *, Deepak Kumar Singh1, Kumar Amrendra2, Ravi Kumar Burman1, Dinesh Kumar Prabhakar3, Rajan Kumar Tiwari1
1Computer Sciences & Engineering, Jharkhand University of Technology, Ranchi, India
2Faculty of CSE & IT, Jharkhand Rai University, Ranchi, Jharkhand, India
3Computer Sciences & Engineering, NIAMT, Ranchi, Jharkhand, India
*Corresponding author. Email: abhishek28mca@gmail.com
Corresponding Author
Abhishek Kumar
Available Online 17 July 2025.
DOI
10.2991/978-94-6463-787-8_4How to use a DOI?
Keywords
Traffic noise; Noise annoyance; Machine learning; Health impacts of noise; Noise control measures; public health; Ranchi; Jharkhand
Abstract

In rapidly urbanizing areas like Ranchi, the capital city of Jharkhand, traffic noise has emerged as a serious health concern. This study explores the impact of traffic noise irritation on Ranchi’s residents using machine learning models. A dataset, including traffic noise levels, psychological responses (noise irritation), and physiological health markers, was collected from a representative sample of the population. Supervised learning techniques, such as Random Forest and Artificial Neural Networks (ANN), were employed to predict the likelihood of noise-related health issues like hypertension, sleep disturbances, and cardiovascular problems. Feature importance analysis highlighted key factors contributing to noise irritation, such as traffic density, proximity to major roads, and exposure duration. The model’s performance, validated through confusion matrices and classification metrics, showed a strong association between prolonged noise exposure and health risks. These findings provide valuable insights for policymakers to implement noise control measures and urban planning strategies to safeguard public health in Ranchi.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
Series
Advances in Intelligent Systems Research
Publication Date
17 July 2025
ISBN
978-94-6463-787-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-787-8_4How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Abhishek Kumar
AU  - Deepak Kumar Singh
AU  - Kumar Amrendra
AU  - Ravi Kumar Burman
AU  - Dinesh Kumar Prabhakar
AU  - Rajan Kumar Tiwari
PY  - 2025
DA  - 2025/07/17
TI  - A Machine Learning Model to Uncover the Impact of Traffic Noise Annoyance in the Inhabitants of Ranchi, Jharkhand
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 24
EP  - 38
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_4
DO  - 10.2991/978-94-6463-787-8_4
ID  - Kumar2025
ER  -