A Model on Fuzzy Logic Implementation in the Development of Traffic Management in Smart Cities: Artificial Intelligence Approach

Abstract

Smart cities have been developing using a combination of new emerging technologies which majorly Include Internet of Things (IoT), Big Data, Blockchain, Augmented Reality, and Artificial Intelligence (AI). These technologies have contributed to the development of many fields such as transportation, environmental protection, energy, medical care, and logistics, and have produced many social, economic and ecological benefits Traffic monitoring has become one of the censorious issues in large cities. The Latest traffic light frameworks utilize a fixed time delay for various traffic directions and do follow a specific cycle while changing starting with one sign then onto the next. This makes undesirable blockage during top hours, loss of worker hours, and in the long run decreases profitability. A smart city is one that extraordinarily decreases vehicle traffic and permits individuals and merchandise to be moved without any problem. Wise traffic frameworks are a case of this and the accomplishment of independent vehicle transportation would be a prime case of achievement for a smart city, as this could decrease vehicle-related passing’s. Every one of these endeavors would lessen contamination, bringing about a more beneficial populace. We propose to you a system that has proven to be smart, intelligent, and capable of solving traffic system issues that offer to be a boon to smart cities and control systems emerging cities of the world