@inproceedings{cda0347612d645f39a456e30ba834d27,
title = "JUHDM: IoT-Based Honk Detection and Novel Driver Profiling For Smart City",
abstract = "The issue of noise pollution in urban environments is a prevalent concern that necessitates careful resolution. The detrimental impacts of noise pollution on human health are manifold, yet this issue remains largely overlooked, with a dearth of comprehensive mechanisms in place for its widespread measurement. Honking in urban areas constitutes a significant contributor to the overall presence of ambient noise pollution, thereby warranting careful consideration and attention. The initial step that necessitates careful monitoring is the accurate identification of honking from a vehicle. To address this issue, a Judicious Urban Honk Detection Module (JUHDM) has been developed. To achieve the implementation of the JUHDM, two separate units working on intrusive and non-intrusive principles have been developed here. This paper provides a comprehensive analysis of both the operational mechanism and the efficacy of both devices in real-world scenarios. Further, it integrates this honking information with other driving-related information to provide drivers with a novel driving score mechanism based on their driving style.",
keywords = "Driving Score, Honk Detection, IoT, Noise, Smart City",
author = "Joy Dutta and Debojit Chakraborty and Sarbani Roy and Deepak Puthal",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 25th IEEE International Conferences on High Performance Computing and Communications, 9th International Conference on Data Science and Systems, 21st IEEE International Conference on Smart City and 9th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023 ; Conference date: 13-12-2023 Through 15-12-2023",
year = "2023",
doi = "10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00139",
language = "British English",
series = "Proceedings - 2023 IEEE International Conference on High Performance Computing and Communications, Data Science and Systems, Smart City and Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "964--971",
editor = "Jinjun Chen and Yang, {Laurence T.}",
booktitle = "Proceedings - 2023 IEEE International Conference on High Performance Computing and Communications, Data Science and Systems, Smart City and Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2023",
address = "United States",
}