An adaptive approach: Smart traffic congestion control system
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2020-11-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157818308565 |
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| _version_ | 1849323242713513984 |
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| author | Ayesha Atta Sagheer Abbas M. Adnan Khan Gulzar Ahmed Umer Farooq |
| author_facet | Ayesha Atta Sagheer Abbas M. Adnan Khan Gulzar Ahmed Umer Farooq |
| author_sort | Ayesha Atta |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-468c7b0c837b42bfae64c6c3ec862e4a |
| institution | Kabale University |
| issn | 1319-1578 |
| language | English |
| publishDate | 2020-11-01 |
| publisher | Springer |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj-art-468c7b0c837b42bfae64c6c3ec862e4a2025-08-20T03:49:07ZengSpringerJournal of King Saud University: Computer and Information Sciences1319-15782020-11-013291012101910.1016/j.jksuci.2018.10.011An adaptive approach: Smart traffic congestion control systemAyesha Atta0Sagheer Abbas1M. Adnan Khan2Gulzar Ahmed3Umer Farooq4School of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan; Department of Computer Science, GC University, Lahore, Pakistan; Corresponding author.School of Computer Science, National College of Business Administration and Economics, Lahore, PakistanSchool of Computer Science, National College of Business Administration and Economics, Lahore, PakistanSchool of Computer Science, National College of Business Administration and Economics, Lahore, PakistanDepartment of Computer Science, Lahore Garrison University, Lahore, PakistanThe 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.http://www.sciencedirect.com/science/article/pii/S1319157818308565Traffic congestionRFID (Radio Frequency Identification) readerSensorIoT (Internet of Things)FISMF |
| spellingShingle | Ayesha Atta Sagheer Abbas M. Adnan Khan Gulzar Ahmed Umer Farooq An adaptive approach: Smart traffic congestion control system Journal of King Saud University: Computer and Information Sciences Traffic congestion RFID (Radio Frequency Identification) reader Sensor IoT (Internet of Things) FIS MF |
| title | An adaptive approach: Smart traffic congestion control system |
| title_full | An adaptive approach: Smart traffic congestion control system |
| title_fullStr | An adaptive approach: Smart traffic congestion control system |
| title_full_unstemmed | An adaptive approach: Smart traffic congestion control system |
| title_short | An adaptive approach: Smart traffic congestion control system |
| title_sort | adaptive approach smart traffic congestion control system |
| topic | Traffic congestion RFID (Radio Frequency Identification) reader Sensor IoT (Internet of Things) FIS MF |
| url | http://www.sciencedirect.com/science/article/pii/S1319157818308565 |
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