Smart City Gnosys

Smart city article details

Title	Smart City: Traffic Management System Using Smart Sensor Network
ID_Doc	50664
Authors	Jain S.; Kumar A.; Priyadharshini M.
Year	2019
Published	Journal of Physics: Conference Series, 1362, 1
DOI	http://dx.doi.org/10.1088/1742-6596/1362/1/012129
Abstract	by 2050, 70% of the world population is estimated to migrate toward the city, covering just 2% of the earth's surface. This leads to many issues, and traffic congestion is one among them. To continue to serve and improve the life of the growing population, it is mandatory to develop an advanced medium to avoid risks which are likely to occur as a result of overcrowded traffic. Our motive is to develop an autonomous vehicle to free human drivers and thus increasing their safety. The Self-driving autonomous vehicles have intensely become one of the great discovery in the field of technology. Different technologies like deep learning, Artificial Intelligence (AI), etc. are merged with each other and with the smart sensors (SS) to develop this self-driven autonomous vehicle. Computer Vision and Deep Learning techniques are applied to build an automotive related algorithm. This project uses Computer Vision Techniques to identify lane lines on a road and also able to identify 40+ different traffic signals. In this project, we will explore the smart city (SMC) concept and propose a strategy development model that will mitigate the traffic concern issues by implementing traffic management system (TMS) using SS network in a SMC context. © Published under licence by IOP Publishing Ltd.
Author Keywords	Autonomous vehicle; Smart city; Smart sensor network; Traffic management system

Similar Articles

Id	Similarity	Authors	Title	Published
58623	0.908	Gupta P.; Singh U.	Traffic Management For Smart City Using Deep Learning	Autonomous Vehicles, 1 (2022)
51587	0.898	Lingani G.M.; Rawat D.B.; Garuba M.	Smart Traffic Management System Using Deep Learning For Smart City Applications	2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019 (2019)
17938	0.895	Syamal S.; Datta J.; Basu S.; Das S.	Deep Learning-Based Autonomous Driving And Cloud Traffic Management System For Smart City	Convergence of IoT, Blockchain, and Computational Intelligence in Smart Cities (2023)
44463	0.893	Tyagi S.; Kathuria S.; Rajashekar N.; Mohammed A.F.K.; Rakesh S.; Lakhanpal S.; Singh C.	Real-Time Traffic Control Using Artificial Intelligence In Smart Cities	Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development (2025)
8559	0.892	Sahba A.; Sahba R.	An Intelligent System For Safely Managing Traffic Flow Of Connected Autonomous Vehicles At Multilane Intersections In Smart Cities	2022 IEEE 12th Annual Computing and Communication Workshop and Conference, CCWC 2022 (2022)
49704	0.892	Omar T.; Bovard D.; Tran H.	Smart Cities Traffic Congestion Monitoring And Control System	ACMSE 2020 - Proceedings of the 2020 ACM Southeast Conference (2020)
50549	0.89	Sharma A.; Madan V.; Bhargav V.; Gulati N.	Smart City Traffic Control System: A Literature Review	Proceedings of the 14th International Conference on Cloud Computing, Data Science and Engineering, Confluence 2024 (2024)
40676	0.883	Kathirvel N.; Vidyalakshmi R.; Raihana A.; Mohanraj A.; Uma S.; Saranya N.	Optimization Of Traffic And Time Control With Sensor-Driven Transmission Control System Using Manet And Machine Learning	7th International Conference on Inventive Computation Technologies, ICICT 2024 (2024)
51589	0.882	Talaat F.M.; El-Balka R.M.; Sweidan S.; Gamel S.A.; Al-Zoghby A.M.	Smart Traffic Management System Using Yolov11 For Real-Time Vehicle Detection And Dynamic Flow Optimization In Smart Cities	Neural Computing and Applications (2025)
49871	0.879	Saleem M.; Abbas S.; Ghazal T.M.; Adnan Khan M.; Sahawneh N.; Ahmad M.	Smart Cities: Fusion-Based Intelligent Traffic Congestion Control System For Vehicular Networks Using Machine Learning Techniques	Egyptian Informatics Journal, 23, 3 (2022)