Abstract
Traffic congestion could be a condition in transport where it has huge crowds, slows the speed of vehicles and even it increases the vehicular lengths. Traffic congestion on city road networks has increased rapidly, since the 1950s. When the traffic demand is great then the interaction between the vehicles reduces the speed of the traffic and finally results in traffic congestion. To overcome such circumstances in present scenario, smart traffic management system can be initiated and we are in study to find a solution to make traffic free city. This system helps in monitoring the traffic signals and flow of vehicles by means of image processing with CCTV cameras. CCTV cameras help in image processing and identifying the number of vehicles passing in the road surface. It helps in abating the traffic congestion in the road and fuel consumption of the automobiles. Sensors are used for detecting the number of vehicles and speed. By coordinating the CCTV cameras and sensors the collected information can be sent to Variable Message Sign (VMS) Boards. This board displays the information regarding traffic to the road users. It helps in diverting and altering the roads at the earliest where the waiting time is reduced. Though the waiting time is reduced, fuel is consumed automatically. Therefore, reduction in the fuel consumption helps to control the air pollution. By creating the control system and detecting the problems faced in the road, traffic congestion can be reduced and provide traffic free environment. As we face rapid growth of our country's population, smart traffic management system provides people to have smooth transportation network which would find a way to reach their destination soon and make their journey better forever.
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This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation.
IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process.
IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further.
[1] Cabanac G, Labbé C and Magazinov A 2021 arXiv:2107.06751v1
Retraction published: 23 February 2022