Connected and Automated Mobility (CAM) revolutionises transportation by integrating advanced automotive technologies for enhanced safety, efficiency and convenience. CAM combines connected vehicle technology, allowing cars to communicate with each other and infrastructure (like traffic signals), with automated mobility, self-driving cars that utilise AI and machine learning to navigate and make real-time decisions without human intervention. In automotive engineering, CAM involves designing and optimising sensors, control units and communication networks. Engineers develop algorithms that process data from cameras, radars and LiDAR sensors, helping vehicles make informed decisions and navigate safely. CAM aims to reduce traffic accidents, improve traffic flow and decrease emissions through efficient driving patterns. This technological advancement is transforming the automotive industry, paving the way for smarter, safer and more sustainable transportation systems. This book unfolds the innovative aspects of Connected and Automated Mobility which will be crucial for the holistic understanding of the subject matter. Different approaches, evaluations and methodologies and advanced studies on automotive engineering have been included in this book. It will serve as a valuable source of reference for those interested in this field.