AN INVESTIGATION ON ARTIFICIAL INTELLIGENCE IN SMART CITIES FOR ON-DEMAND VEHICLE AUTOMATIC SYSTEMS.

Abstract

As a result of the implementation of AI, the process of city planning has become significantly more automated and standardised. People who live in urban areas are more likely to be exposed to novel ideas for resolving issues and making preparations for anticipated difficulties in advance. It is anticipated by specialists that by the year 2050, more than seventy percent of the world’s population will reside in urban areas. In light of this, there is an urgent requirement for a public transport system in metropolitan areas that is not only user-friendly but also ecologically friendly and highly efficient. This in-depth analysis takes a look at fifty publications that have been examined by experts in the field and cover the subject of urban mobility through the use of artificial intelligence, the internet of things, and information and communication technologies from the years 2015 to 2024. The seriousness and accuracy with which the articles were presented were the primary factors that led to their selection. Their primary objective is to enhance the performance of traffic signals in real time by doing research on intelligent routing systems, prediction algorithms, and other areas connected to this area of study. There is optimism that the introduction of self-driving cars would extend the range of available modes of transportation, enhance the effectiveness of public transportation, and make roads safer for everyone. The fact that this is the case is evident for a variety of reasons, not the least of which are those that have already been mentioned. It is necessary to include artificial intelligence into smart cities and urban mobility before these areas can even begin to address the myriad of challenges that they face.