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Smart city article details

Title	A Computer Vision Based Approach For Automated Traffic Management As A Smart City Solution
ID_Doc	1013
Authors	Gupta S.; Sundar B.
Year	2020
Published	Proceedings of CONECCT 2020 - 6th IEEE International Conference on Electronics, Computing and Communication Technologies
DOI	http://dx.doi.org/10.1109/CONECCT50063.2020.9198588
Abstract	This study aims to provide a solution to the incessant land acquisition to surmount growing traffic by promoting the application of adaptable lane dividers meant to be implemented in smart cities. A flexible lane span manipulates the width of the road as a whole, avoiding the need for road expansion. Video data is obtained from cameras placed along a single stretch and is analyzed in real-time. The model uses Computer Vision, ROI (Region of Interest) based execution, exploiting both traffic speed and occupied lane area to determine traffic density. Each camera is assigned a priority value with cameras down the lane possessing higher priority. The decision of each camera constitutes the final decision. The design also adopts pattern recognition based on learning, besides real-time analysis for more conclusive results. © 2020 IEEE.
Author Keywords	Aggregation; Computer Vision; Data Cube; Lane detection; Real-time video; Spatial Temporal Identification; Traffic management

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