Path: Top -> Journal -> Jurnal Internasional -> King Saud University -> 2020 -> Volume 32, Issue 9, November
An adaptive approach: Smart traffic congestion control system
Oleh : Ayesha Atta, Sagheer Abbas, M. Adnan Khan, Gulzar Ahmed, Umer Farooq, King Saud University
Dibuat : 2021-08-07, dengan 0 file
Keyword : Traffic congestion, RFID (Radio Frequency Identification) reader, Sensor, IoT (Internet of Things), FISMFPICIR sensor
Url : http://www.sciencedirect.com/science/article/pii/S1319157818308565
Sumber pengambilan dokumen : Web
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.
Deskripsi Alternatif :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.
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