Internet of Things and Artificial Intelligence-Enabled Secure Autonomous Vehicles for Smart Cities

The ever-increasing count of vehicles wrecks several cities in the global scenario. Smart cities have evolved as a winning strategy that helps to cope up with this issue and overcome the urban problems such as pollution, traffic, waste management, optimization of energy consumption, and so on. Technologies such as machine learning (ML), Internet of Things (IoT), artificial intelligence (AI), big data analytics, cloud computing, and smart sensors serve as tools that provide enormous possibilities in the smart revolution. Several researchers are working on developing a complete system that performs information gathering, alternate identification, smart predictions, review of choices, decision-making, and taking suitable actions. These systems impose various challenges in terms of governance, economy, mobility, environment, people, and living. This chapter provides an in-depth analysis of these challenges in smart cities with respect to autonomous vehicles and also offers real-time solutions to overcome these challenges. A comparative analysis of the existing algorithms is done, and the optimal algorithms that can help in implementation of the system with a user-friendly approach and linguistic flexibility are proposed. Factors such as use of unmanned aerial vehicles (UAV), vehicle-to-vehicle and vehicle-to-infrastructure communication, deployment of location and path planning, data routing, dynamic coordination, data transmission, privacy, and cybersecurity are also considered while designing the system.