A Study Based On Artificial Intelligence Of Smart Cities For On Demand Automation Of Vehicles System

Abstract

There are many ways in which automated vehicles (AVs) could improve smart city transportation. Autonomous vehicles (AVs) have the ability to improve vehicle platooning by decreasing the required space between vehicles. However, even bigger changes might be possible with well-developed autonomous cars. The present road and highway designs have to be changed if autonomous cars start to be used more often. Maximizing the potential of autonomous vehicles in smart public transportation networks calls for the kind of swift preparation that is essential. Researching and using the unique characteristics of AVs has the potential to lead to technological advancements and the development of AV systems with a plethora of extra benefits. This is due to "the underlying three main types of study subjects: Automotive information systems, including data pertaining to self-driving cars and roadways. "When driverless cars connect to the power grid, this is called a "V2G" scenario. Batteries are the power source for almost all driverless cars. Power generation costs can rise if smart grid supply and demand are out of sync. To keep power networks stable and balanced, one option would be to tap into the massive battery capability of autonomous cars. Charging the driverless cars is a potential option if our energy supply exceeds our needs. In the case that demand exceeds supply, they may decide to turn off the self-driving cars (AVs) so that more power may be sent into the grid.