Vehicular Traffic Flow Detection and Monitoring for Implementation of Smart Traffic Light: A Case Study for Road Intersection in Limeira, Brazil
This paper proposes the development of a smart traffic light prototype based on vehicular traffic flow measurement in the stretch between two avenues in the city of Limeira, SP, Brazil, focusing on the stretch towards UNICAMP’s School of Technology. To this end, we initially developed a Python code...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Future Transportation |
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| Online Access: | https://www.mdpi.com/2673-7590/4/4/67 |
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| _version_ | 1846104547232055296 |
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| author | Talía Simões dos Santos Ximenes Antonio Carlos de Oliveira Silva Guilherme Pieretti de Martino William Machado Emiliano Mauro Menzori Yuri Alexandre Meyer Vitor Eduardo Molina Júnior |
| author_facet | Talía Simões dos Santos Ximenes Antonio Carlos de Oliveira Silva Guilherme Pieretti de Martino William Machado Emiliano Mauro Menzori Yuri Alexandre Meyer Vitor Eduardo Molina Júnior |
| author_sort | Talía Simões dos Santos Ximenes |
| collection | DOAJ |
| description | This paper proposes the development of a smart traffic light prototype based on vehicular traffic flow measurement in the stretch between two avenues in the city of Limeira, SP, Brazil, focusing on the stretch towards UNICAMP’s School of Technology. To this end, we initially developed a Python code using the OpenCV library in order to detect and count vehicles. With the counting in operation, programming logic was inserted, aiming at preparing traffic light timers based on vehicular traffic. Finally, the traffic lights were added to display video via a code change to show the ongoing color changes, also obtaining a code for identifying vehicles and flow, in addition to the virtual traffic light system itself in the system. Vehicle counting accuracy was 75% for large vehicles, 90% for passenger cars, and 100% for motorcycles. The simulation of a smart traffic light implementation worked satisfactorily according to the post-processing of the video recorded for validation. |
| format | Article |
| id | doaj-art-1b76439c46294b1e9a30d30aa489c1a3 |
| institution | Kabale University |
| issn | 2673-7590 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Transportation |
| spelling | doaj-art-1b76439c46294b1e9a30d30aa489c1a32024-12-27T14:27:30ZengMDPI AGFuture Transportation2673-75902024-11-01441388140110.3390/futuretransp4040067Vehicular Traffic Flow Detection and Monitoring for Implementation of Smart Traffic Light: A Case Study for Road Intersection in Limeira, BrazilTalía Simões dos Santos Ximenes0Antonio Carlos de Oliveira Silva1Guilherme Pieretti de Martino2William Machado Emiliano3Mauro Menzori4Yuri Alexandre Meyer5Vitor Eduardo Molina Júnior6Division of Telecommunication and Division of Transport, School of Technology, State University of Campinas, Limeira 13083-970, BrazilDivision of Telecommunication and Division of Transport, School of Technology, State University of Campinas, Limeira 13083-970, BrazilDivision of Telecommunication and Division of Transport, School of Technology, State University of Campinas, Limeira 13083-970, BrazilDivision of Telecommunication and Division of Transport, School of Technology, State University of Campinas, Limeira 13083-970, BrazilDivision of Telecommunication and Division of Transport, School of Technology, State University of Campinas, Limeira 13083-970, BrazilDivision of Telecommunication and Division of Transport, School of Technology, State University of Campinas, Limeira 13083-970, BrazilDivision of Telecommunication and Division of Transport, School of Technology, State University of Campinas, Limeira 13083-970, BrazilThis paper proposes the development of a smart traffic light prototype based on vehicular traffic flow measurement in the stretch between two avenues in the city of Limeira, SP, Brazil, focusing on the stretch towards UNICAMP’s School of Technology. To this end, we initially developed a Python code using the OpenCV library in order to detect and count vehicles. With the counting in operation, programming logic was inserted, aiming at preparing traffic light timers based on vehicular traffic. Finally, the traffic lights were added to display video via a code change to show the ongoing color changes, also obtaining a code for identifying vehicles and flow, in addition to the virtual traffic light system itself in the system. Vehicle counting accuracy was 75% for large vehicles, 90% for passenger cars, and 100% for motorcycles. The simulation of a smart traffic light implementation worked satisfactorily according to the post-processing of the video recorded for validation.https://www.mdpi.com/2673-7590/4/4/67smart traffic lightsmart traffic systemsmonitoringOpenCV libraryOpenCV vehicle detectiontraffic flow management |
| spellingShingle | Talía Simões dos Santos Ximenes Antonio Carlos de Oliveira Silva Guilherme Pieretti de Martino William Machado Emiliano Mauro Menzori Yuri Alexandre Meyer Vitor Eduardo Molina Júnior Vehicular Traffic Flow Detection and Monitoring for Implementation of Smart Traffic Light: A Case Study for Road Intersection in Limeira, Brazil Future Transportation smart traffic light smart traffic systems monitoring OpenCV library OpenCV vehicle detection traffic flow management |
| title | Vehicular Traffic Flow Detection and Monitoring for Implementation of Smart Traffic Light: A Case Study for Road Intersection in Limeira, Brazil |
| title_full | Vehicular Traffic Flow Detection and Monitoring for Implementation of Smart Traffic Light: A Case Study for Road Intersection in Limeira, Brazil |
| title_fullStr | Vehicular Traffic Flow Detection and Monitoring for Implementation of Smart Traffic Light: A Case Study for Road Intersection in Limeira, Brazil |
| title_full_unstemmed | Vehicular Traffic Flow Detection and Monitoring for Implementation of Smart Traffic Light: A Case Study for Road Intersection in Limeira, Brazil |
| title_short | Vehicular Traffic Flow Detection and Monitoring for Implementation of Smart Traffic Light: A Case Study for Road Intersection in Limeira, Brazil |
| title_sort | vehicular traffic flow detection and monitoring for implementation of smart traffic light a case study for road intersection in limeira brazil |
| topic | smart traffic light smart traffic systems monitoring OpenCV library OpenCV vehicle detection traffic flow management |
| url | https://www.mdpi.com/2673-7590/4/4/67 |
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