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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Smart traffic signal management for detection of emergency vehicles using IoT |
| Authors Name: | Madhusmitha Nayak , Deepthi P , Jagadevi Bakka , Kilari Dhanush , Madan T |
| Unique Id: | IJSDR2305151 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | One of the unavoidable issues of contemporary societies is traffic, which results in unfavorable outcomes like impeding emergency vehicles' access to destinations, wasting time, and increasing the likelihood of accidents. The utilization of Internet of Things (IoT) in managing traffic signals can greatly enhance the flow of traffic and alleviate road congestion. A new method is suggested in this article to identify emergency vehicles and control traffic signals accordingly. To control traffic lights more efficiently, the use of IoT approaches is implemented where sensors such as surveillance cameras capture real-time traffic information for the smart traffic signal management system. To guarantee that emergency vehicles reach their destination with minimal delays, the system is created to provide a clear path. |
| Keywords: | Smart traffic signal management, Internet of Things (IoT), Emergency vehicles, Sensors |
| Cite Article: | "Smart traffic signal management for detection of emergency vehicles using IoT", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.975 - 978, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305151.pdf |
| Downloads: | 000222060 |
| Publication Details: | Published Paper ID: IJSDR2305151 Registration ID:206209 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 975 - 978 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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