A LOOK INTO ARTIFICIAL INTELLIGENCE IN SMART CITIES FOR ON-DEMAND VEHICLE AUTONOMOUS SYSTEMS.

Abstract

Artificial intelligence has made the process of city planning considerably easier and more familiar. Compared to people living in rural areas, city dwellers are far more likely to learn about innovative problem-solving techniques and anticipate potential future difficulties. By 2050, experts predict that more than 70% of the global population will call an urban area home. This highlights the critical necessity for an environmentally friendly, user-friendly, and highly efficient public transportation system inside urban areas. This comprehensive review examines fifty peer-reviewed publications covering the subject of urban mobility as it relates to AI, the Internet of Things, and information and communication technology. The publications were published between 2015 and 2024. One of the most important criteria used to choose the papers was the clarity and amount of commitment shown in their presentations. The primary responsibility of this team is to optimise traffic signals in real time and to do research on intelligent routing systems and prediction algorithms. Reduced traffic congestion, improved public transport, and enhanced road safety are all possible outcomes of the widespread adoption of autonomous vehicles. Not only that, but there are a plethora of other factors beyond the ones just mentioned that make this very evident. It is imperative that smart cities and urban mobility use AI in order to discover answers to numerous difficulties. The digital divide across countries is a prime example of the kind of problems that fall under this umbrella.