Abstract
At the intersection of green and red lights, people often honk their horns to urge people. Besides, noise pollution in urban areas due to the abuse of car horns leads to high sound intensity that affects the health of people. Although many solutions have been given, this problem has not been completely solved. Therefore, we present a solution to measure the sound intensity at the intersection of red and green lights in this paper. When the sound intensity is too great (the threshold), the waiting time for the red light will increase. It will directly affect the perception of people and thus reduce the noise. The results show that the system has recovered noise with an accuracy of up to 96%.
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This research is funded by Vietnam National University Ho Chi Minh City (VNU-HCM) under grant number NCM2021-20-02.
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Huu, P.N., Thi, Q.N., Dang, D.D., Hai, T.L.T., Minh, Q.T. (2023). Design of Measuring and Warning System Based on Sound Intensity in High-Traffic Areas. In: Nguyen, T.D.L., Verdú, E., Le, A.N., Ganzha, M. (eds) Intelligent Systems and Networks. ICISN 2023. Lecture Notes in Networks and Systems, vol 752. Springer, Singapore. https://doi.org/10.1007/978-981-99-4725-6_4
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DOI: https://doi.org/10.1007/978-981-99-4725-6_4
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