A framework for dynamic smart traffic light management system

2021 ◽  
Author(s):  
Awad Alharbi ◽  
George Halikias ◽  
Adnan Ahmed Abi Sen ◽  
Mohammad Yamin
Keyword(s):  
Management System ◽  
Traffic Light ◽  
Light Management ◽  
Smart Traffic

scholarly journals Design and Implementation of a Smart Traffic Light Management System Controlled Wirelessly by Arduino

2020 ◽  
Vol 14 (07) ◽  
pp. 32
Author(s):  
Abdul Hadi M. Alaidi ◽  
Ibtisam A. Aljazaery ◽  
Haider TH. Salim Alrikabi ◽  
Ibrahim Nasir Mahmood ◽  
Faisal Theyab Abed
Keyword(s):  
Waiting Time ◽  
Management System ◽  
Traffic Light ◽  
Economic Problems ◽  
Design And Implementation ◽  
Traffic Jams ◽  
Light System ◽  
Car Accidents ◽  
Light Management ◽  
Smart Traffic

<p>In Iraq, the number of people who own vehicles has grown up significantly. However, this increment in vehicles number doesn’t accomplished by a study of roads and intersections expansion. As a result, traffic jams became a big problem that led to long waiting time at each intersection, increased car accidents, pollution, and economic problems. To solve this problem a Smart Traffic Light System (STLS) has been implemented using Arduino, camera, IR sensor to overcome traffic jams problems in Kut city – Iraq.</p>

A Novel Self-Organizing Approach to Automatic Traffic Light Management System for Road Traffic Network

2019 ◽  
Vol 110 (3) ◽  
pp. 1303-1321
Author(s):  
Amita Jain ◽  
Sudesh Yadav ◽  
Sonakshi Vij ◽  
Yogesh Kumar ◽  
Devendra Kumar Tayal
Keyword(s):  
Management System ◽  
Road Traffic ◽  
Traffic Network ◽  
Traffic Light ◽  
Light Management ◽  
Self Organizing

Smart Traffic Light Management Systems

2020 ◽  
Vol 11 (3) ◽  
pp. 22-47
Author(s):  
Aws Abed Al Raheem Magableh ◽  
Mohanad A. Almakhadmeh ◽  
Nawaf Alsrehin ◽  
Ahmad F. Klaib
Keyword(s):  
Law Enforcement ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Video Data ◽  
Traffic Light ◽  
Infrared Sensors ◽  
Traffic Lights ◽  
Loop Detection ◽  
Light Management ◽  
Smart Traffic

Traffic congestion is a major concern in many cities. Failure to heed signals, poor law enforcement, and bad traffic light management are main factors that have led to traffic congestion. One of the most important problems in cities is the difficulty of further expanding the existing infrastructures. Having that in mind, the main accessible and available alternatives that could provide better management of the traffic lights is to use technological systems. There are many methods available for traffic management such as video data analysis, infrared sensors, inductive loop detection, wireless sensor networks, and a few other technologies. This research is focused on reviewing all these existing methods and studies using a systematic literature review (SLR). The SLR was intended to improve the synthesis of research by introducing a systematic process. This article aims at analyzing and assessing the existing studies against selected factors of comparison. The study achieves these aims by analyzing 78 main studies. The research outcomes indicated that there are decent numbers of studies that have been proposed in the area of smart traffic light management. However, less attention has been paid on the possibility of investigating the use of live traffic data to improve the accuracy of traffic management.

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