Connected and Autonomous Vehicles (CAVs) have the potential to expedite the realization of a smart city. This convergence of three technologies, namely wireless connectivity, automation, and electrification, creates a vehicle that is capable of self-driving and parking, sharing and storing digital content, sensing and monitoring its surroundings, and mobilizing electrical power. In a smart city, these capabilities can be translated into various kind of services. However, the provisioning of these services will be challenging due to different issues as well as the human fear and trust in this technology.
The goals of this project are to devise an Integrated Service Management Framework (ISMF) which integrates a set of AI algorithmic techniques to ultimately secure self-driving vehicles for the betterment of smart city services and applications.
A smart city is a technologically modern urban area that uses different types of electronic methods, voice activation methods and sensors to collect specific data.
A self-driving car, also known as an autonomous vehicle, driverless car, or robotic car, is a car incorporating vehicular automation, that is, a ground vehicle that is capable of sensing its environment and moving safely with little or no human input.