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Cited 27 time in webofscience Cited 57 time in scopus
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An adaptive approach: Smart traffic congestion control system

Authors
Atta, AyeshaAbbas, SagheerKhan, M. AdnanAhmed, GulzarFarooq, Umer
Issue Date
Nov-2020
Publisher
ELSEVIER
Keywords
Traffic congestion; RFID (Radio Frequency Identification) reader; Sensor; IoT (Internet of Things); FIS; MF; PIC; IR sensor
Citation
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, v.32, no.9, pp.1012 - 1019
Journal Title
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
Volume
32
Number
9
Start Page
1012
End Page
1019
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/81252
DOI
10.1016/j.jksuci.2018.10.011
ISSN
1319-1578
Abstract
The paper explores the utilization of RFID innovation for traffic congestion and find out the blockage at any intersection of the street by utilizing RFID reader and labels as sensors. The idea behind this paper is to make the fixed and preset activity of traffic signal dynamic. The paper affords a unique method for making the signal timing proportional to the congestion on the roads at any time directly. Proposed intelligent system can maintain the dynamic timings of traffic signals by sensing the density of traffic to minimize the congestion with the help of IoT enabled sensors which provides the advanced and powerful communication technologies for the citizens. (C) 2018 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University.
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