Neutrosophic Set Based Traffic Mechanism Organization

Abstract

Managing traffic on roads has been a major issue for the transportation industry for a long time. As the number of automobiles continues to rise and new high-capacity road infrastructures in major cities are difficult to implement, reducing this risk has become a challenge for the scientific community. Increased pollution, financial losses, and a general decline in quality of life are all caused in part by traffic congestion. Thus, researchers are being challenged to deal with the difficulty of producing efficient and seamless traffic flow. Decision-making issues in the real world, like those in traffic management, are, nevertheless, constantly riddled with ambiguity and indeterminacy. Researchers have lately sought to employ different neutrosophic ways to handle the traffic congestion problem, and have found that the neutrosophic environment is a useful tool for dealing with these sorts of issues. This article presents a high-level summary of the most current neutrosophic strategies used to manage traffic congestion and other transportation issues. The study's goal is to provide a synopsis of the existing neutrosophic traffic flow difficulties and their development so that future researchers may better distinguish between the primary problems to be managed and identify circumstances to be optimized.