Smart City Gnosys

Smart city article details

Title	Traffic Control System For Smart City Using Image Processing
ID_Doc	58552
Authors	Bhardwaj V.; Rasamsetti Y.; Valsan V.
Year	2022
Published	Studies in Computational Intelligence, 1002
DOI	http://dx.doi.org/10.1007/978-981-16-7498-3_6
Abstract	Due to the quickly changing population with the economic development of the country, traffic congestion has come out as a serious threat to society. Since the present traffic system is only predetermined time-based traffic control, it’s high time to come out with a self-adaptive system for better traffic administration. This chapter represents a smart traffic control technique for smart cities that can be implemented by using image processing. A web camera is positioned on a traffic signal to seize the photo sequences. An empty road image is about a reference photograph and the real-time traffic images are matched with the usage of image matching. For this purpose, edge detection is used and a percentage matching happens between a reference image and a real-time traffic image, the traffic light time allocation can be done with percentage image matching. The results obtained in the above processes will help in reducing delay time at the traffic lane. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords	Edge detection; Image matching; Image processing; Self-adaptive; Traffic management

Similar Articles

Id	Similarity	Authors	Title	Published
30218	0.931	Bhardwaj V.; Rasamsetti Y.; Valsan V.	Image Processing Based Smart Traffic Control System For Smart City	2021 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021 (2021)
58627	0.902	Reddy K.V.R.D.; Priya R.S.; Singh P.; Kishore V.R.; Devi B.S.K.	Traffic Management Scheduling Using Image/Video Processing For Smart Cities	4th International Conference on Inventive Research in Computing Applications, ICIRCA 2022 - Proceedings (2022)
36245	0.889	Deepa N.; Udayakumar N.; Devi T.	Management Of Traffic In Smart Cities Using Optical Character Recognition For Notifying Users	2022 International Conference on Computer Communication and Informatics, ICCCI 2022 (2022)
6563	0.887	Nijim M.; Kanumuri V.; Alaqqad W.; Albataineh H.	Advanced Traffic Management System For Smart Cities	Lecture Notes in Networks and Systems, 700 LNNS (2023)
52787	0.879	Sreelatha R.; Mahalakshmi B.S.; Supriya G.V.; Sushmitha R.; Chiranjeevi Nayak B.	Spontaneous Traffic Management System For Counting Vehicle Using Iot And Image Processing Techniques	EAI/Springer Innovations in Communication and Computing (2024)
22211	0.877	Sreenivasulu G.; Padmavathi T.; Nirisha A.; Prakash D.B.; Oudah M.Y.; Saikumar K.	Efficiency And Precision: Control Systems Empowered By Smart Image Processing	2023 3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023 (2023)
33721	0.874	Frank A.; Khamis Al Aamri Y.S.; Zayegh A.	Iot Based Smart Traffic Density Control Using Image Processing	2019 4th MEC International Conference on Big Data and Smart City, ICBDSC 2019 (2019)
15433	0.871	Bhasin S.; Saini S.; Gupta D.; Mann S.	Computer Vision Based Traffic Monitoring System	2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2024 (2024)
1013	0.869	Gupta S.; Sundar B.	A Computer Vision Based Approach For Automated Traffic Management As A Smart City Solution	Proceedings of CONECCT 2020 - 6th IEEE International Conference on Electronics, Computing and Communication Technologies (2020)
18557	0.868	Subree M.I.H.; Hasan M.R.; Sayma M.H.	Design And Implementation Of An Unreal Engine 4-Based Smart Traffic Control System For Smart City Applications	International Journal of Advanced Computer Science and Applications, 13, 12 (2022)