Implementation of AI in Traffic Management: Need, Current Techniques and Challenges
Keywords:Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Traffic Congestion, Machine Learning (ML) , Neural Network
In the most recent years, technology, including Artificial Intelligence (AI) has advanced in every industry conceivable. Artificial Intelligence has been a keen area of interest in solving everyday problems that humans face. One such area of application is Traffic Management, which required extensive human involvement since the beginning, but now researchers from all over the world are working to introduce the use of Artificial Intelligence in managing the road traffic in the major cities to eliminate the issue of traffic congestion. Artificial Intelligence (AI) has emerged as a promising solution for addressing the persistent challenges associated with traffic management in major cities. Several attempts have been made in this regard and different techniques are being worked upon till date, but the world is still far from observing the widespread use of AI in major cities. This paper presents an analysis on why Artificial Intelligence is needed for traffic management, what techniques have been developed so far and what are the common challenges that are hindering the widespread application of AI in traffic management.
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