Andreas A. Malikopoulos – författare

Connected and autonomous vehicles (CAVs) have enormous potential to shape the future of transportation. As this complex and dynamic field grows, researchers are looking for ways to improve the efficiency and performance of CAVs. Through employing predictive modeling, machine learning, and advanced sensor fusion approaches, CAVs can anticipate and respond to hazardous situations with greater precision and speed. Control algorithms coupled with real-time data analysis enable CAVs to achieve significant reductions in energy consumption without compromising performance or safety.This book investigates the convergence of control, learning, and optimization techniques used to enhance CAV safety, mobility, energy efficiency, and overall performance, helping readers gain a deeper understanding of the key developments and emerging trends in CAV technologies.It includes chapters on human-vehicle shared control, vehicle platooning, motion prediction and planning for autonomous vehicles, predictive and adaptive cruise control, reinforcement learning, energy optimisation, as well as cyber-security and privacy issues in learning-based vehicle control.This book is a comprehensive resource for researchers and advanced students interested in the transformative potential of CAVs in future transport and looking for further insights to navigate this complex and dynamic field.

This book covers multiple dimensions of future mobility systems in smart cities, mapping out the innovations that are needed, presenting ideas on how to address the challenges they present and exploring a holistic research path for future developments. The book considers the interaction between:technological developments in modes of transport and transportation systems like autonomous systems and shared mobility that lead to emerging mobility systems;the social behavior of the drivers and travelers who interact with these systems; andthe institutional behavior of organized units such as the administrators responsible for the policies involved with transportation governance and regulation.Transportation Mobility in Smart Cities provides methods to analyze, design, and optimize a mobility system, taking into consideration this constellation of social and institutional factors as well as the necessary technological requirements. The result is a mobility system that will be acceptable to travelers without imposing undue inequities in transportation on the smart city.The holistic approach taken in addressing the problems involved with establishing a mobility system within a smart city makes this book attractive to researchers and practitioners, technologists, and policy makers alike. Graduate students working in areas connected with the evolution of transportation systems will also find the material presented in this book instructive.