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In many cities around India and other nations, traffic congestion is a serious issue. Traffic congestion is a result of signal failure, ineffective law enforcement, and inadequate traffic management. One of the main issues with Indian cities is that the existing infrastructure cannot be expanded further, leaving better traffic management as the sole solution. Constant traffic has a detrimental effect on the economy, the environment, and everyone's quality of life. Therefore, it is imperative that the traffic congestion issue be managed adequately. There are numerous techniques for managing traffic, including wireless sensor networks, inductive loop detection, infrared sensors, video data processing, and ultrasonic sensors.
In order to gather, process, and store real-time traffic data for such a scenario, this research suggests an AI-based system paradigm. The goal is to increase mobility by using roadside messaging devices to deliver real-time traffic reports on traffic congestion and unexpected traffic events. To minimise excessive traffic flow by allowing a significant number of vehicles to cross the traffic light, an intelligent AI-based traffic signal monitoring system using smart algorithms becomes essential.
"Smart Traffic Management System ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.245 - 249, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305036.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator