An adaptive approach: Smart traffic congestion control system
- Authors
- Atta, Ayesha; Abbas, Sagheer; Khan, M. Adnan; Ahmed, Gulzar; Farooq, 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - ETC > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.