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| Paper Title: | IOT BASED SMART TRAFFIC CONTROL |
| Authors Name: | Dubla Lina , Zodge Mansi , Bhondage Mrunal , Dr. Prof. U.B. Pawar |
| Unique Id: | IJSDR2305142 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | Traffic management system is one of the major proportions of a smart city. With the rapid growth of population and rapid increase of vehicles across the whole country which further leads to the traffic Congestion which is usually seen on roads. Nowadays traffic congestion is a difficult issue to deal with as number of vehicles is increasing day by day. To tackle various issues of traffic on roads and to help authorities in proper planning, a smart traffic management system using the Internet of Things (IoT) is proposed in this paper. A simple, effective and less costly method is used to optimize traffic flow on roads and an algorithm is devised to manage various traffic situations efficiently and automatically. For this purpose, the system takes traffic density as input from 8 different sensors which are there in 4 lanes which manages traffic signals. Besides this manual control of this system using Wi-Fi is also used to prioritize the emergency vehicles such as ambulances and fire brigade vehicles during a traffic jam, so that we can open the specific lane with the remote using Wi-Fi. To show the effectiveness of this proposed traffic management system, a prototype is developed which optimizes the traffic having lesser cost and is very effective. And the real time data will also be visible in the mobile phone through application |
| Keywords: | IOT, Traffic, Notification, Alerts |
| Cite Article: | "IOT BASED SMART TRAFFIC CONTROL", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.932 - 934, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305142.pdf |
| Downloads: | 000223171 |
| Publication Details: | Published Paper ID: IJSDR2305142 Registration ID:206404 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 932 - 934 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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