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Title: :  Intelligent traffic light controlling using image processing
PaperId: :  19436
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19436
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
BATHULA DHANUNJAYVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
CHITTEMSETTY SAI YESWANTHVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
BYRAPUNENI YASHWANTHVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
DONKADA SHANMUKA SIDDHUVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
KAPALAVAYI RAMESH BABUVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY

Abstract

Electronics and communication engineering
Image Processing, Image Matching, Ambulance Detection, Open CV
Real-time traffic control entails calculating the amount of time each lane requires to reduce traffic congestion, as well as the timing of each red, green, and yellow light. This is accomplished by sensing the density of vehicles across four lanes. The current traffic control system encourages smart movement and efficient use of time while reducing traffic. When considering a junction of four roads with predetermined traffic signals, time will be wasted because the time allotted to each lane cannot be changed based on vehicle density. Even if there are no vehicles in a given lane, the time allotted for that lane can still be used, and the number of vehicles at other junctions may increase. Predetermined traffic lights and ageing road infrastructure cause traffic congestion, making it difficult to clear traffic in a timely manner. The primary contribution of our work is to contrast the various approaches presented for actual traffic control and to develop a new methodology to reduce the difficulties associated with traffic clearing. The same amount of time on green lights wastes resources and stresses drivers, as well as for ambulance detection. The goal of this project is to regulate traffic lights using security cameras installed at intersections using image matching techniques, Python programming, Open CV, and image processing concepts.

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IJARIIE BATHULA DHANUNJAY, CHITTEMSETTY SAI YESWANTH, BYRAPUNENI YASHWANTH, DONKADA SHANMUKA SIDDHU, and KAPALAVAYI RAMESH BABU. "Intelligent traffic light controlling using image processing" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 533-540
MLA BATHULA DHANUNJAY, CHITTEMSETTY SAI YESWANTH, BYRAPUNENI YASHWANTH, DONKADA SHANMUKA SIDDHU, and KAPALAVAYI RAMESH BABU. "Intelligent traffic light controlling using image processing." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 533-540.
APA BATHULA DHANUNJAY, CHITTEMSETTY SAI YESWANTH, BYRAPUNENI YASHWANTH, DONKADA SHANMUKA SIDDHU, & KAPALAVAYI RAMESH BABU. (2023). Intelligent traffic light controlling using image processing. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 533-540.
Chicago BATHULA DHANUNJAY, CHITTEMSETTY SAI YESWANTH, BYRAPUNENI YASHWANTH, DONKADA SHANMUKA SIDDHU, and KAPALAVAYI RAMESH BABU. "Intelligent traffic light controlling using image processing." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 533-540.
Oxford BATHULA DHANUNJAY, CHITTEMSETTY SAI YESWANTH, BYRAPUNENI YASHWANTH, DONKADA SHANMUKA SIDDHU, and KAPALAVAYI RAMESH BABU. 'Intelligent traffic light controlling using image processing', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 533-540. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Intelligent_traffic_light_controlling_using_image_processing_ijariie19436.pdf (Accessed : 09 April 2023).
Harvard BATHULA DHANUNJAY, CHITTEMSETTY SAI YESWANTH, BYRAPUNENI YASHWANTH, DONKADA SHANMUKA SIDDHU, and KAPALAVAYI RAMESH BABU. (2023) 'Intelligent traffic light controlling using image processing', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 533-540IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Intelligent_traffic_light_controlling_using_image_processing_ijariie19436.pdf (Accessed : 09 April 2023)
IEEE BATHULA DHANUNJAY, CHITTEMSETTY SAI YESWANTH, BYRAPUNENI YASHWANTH, DONKADA SHANMUKA SIDDHU, and KAPALAVAYI RAMESH BABU, "Intelligent traffic light controlling using image processing," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 533-540, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Intelligent_traffic_light_controlling_using_image_processing_ijariie19436.pdf [Accessed : 09 April 2023].
Turabian BATHULA DHANUNJAY, CHITTEMSETTY SAI YESWANTH, BYRAPUNENI YASHWANTH, DONKADA SHANMUKA SIDDHU, and KAPALAVAYI RAMESH BABU. "Intelligent traffic light controlling using image processing." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 (09 April 2023).
Vancouver BATHULA DHANUNJAY, CHITTEMSETTY SAI YESWANTH, BYRAPUNENI YASHWANTH, DONKADA SHANMUKA SIDDHU, and KAPALAVAYI RAMESH BABU. Intelligent traffic light controlling using image processing. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 09 April 2023]; 9(2) : 533-540. Available from: https://ijariie.com/AdminUploadPdf/Intelligent_traffic_light_controlling_using_image_processing_ijariie19436.pdf
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