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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 109
Article Submitted : 16130
Article Published : 7097
Total Authors : 19084
Total Reviewer : 688
Total Countries : 125
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| Paper Title: | Automating Traffic Lights using Deep Learning |
| Authors Name: | Tejaswini Shailesh , Huda Mirza Saifuddin , Pratheek G Aithal |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_182298
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| Published Paper Id: | IJRTI2207037 |
| Published In: | Volume 7 Issue 7, July-2022 |
| DOI: | |
| Abstract: | Efficient traffic management is necessary to avoid traffic jams which affect wide areas. With the increase in vehicles, the traditional control strategies are incapable of clearing heavy traffic which leads to long traffic queues and prolonged waiting times. Another challenge faced is that of emergency vehicles having to wait for a long time due to traffic congestions and blocks. It can be a life or death situation for any person as each and every second counts. The proposed system is designed with an aim to improve traffic clearance at intersections along with giving precedence to emergency vehicles as soon as it detects a siren sound. The system includes the use of pre-trained model RetinaNet to detect and count the number of vehicles and classify them. Enhanced Ratio based algorithm is applied to generate green signal timings. In order to detect the sirens from emergency vehicles, Convolutional Neural Networks (CNN) has been used. |
| Keywords: | Audio detection, CNN, Deep Learning, Intelligent traffic light control, Object Detection. |
| Cite Article: | "Automating Traffic Lights using Deep Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.235 - 238, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207037.pdf |
| Downloads: | 000204883 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2207037
Registration ID:182298
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 235 - 238 Country: Bengaluru, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2207037 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2207037 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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