Authored by two experts in the technological and commercial development of electric vehicles, this book traces EV technology from its beginnings through the current state-of-the-art and onwards to future possibilities.

This book covers the different data types that can be collected and used for monitoring, analyzing and improving road safety. It provides a wide and up-to-date perspective on relevant safety data, broadening the horizons for the road safety experts and promoting a more knowledge-based approach to their work.

Electrification of transport technology can help ensure a continued transition away from fossil fuels and toward renewable energy. This book looks at the current trend of electrification in transportation systems on land and at sea.

This book provides an overview of ICT-based intelligent road transport systems with an emphasis on recent evaluation methods and results of ITS development and deployment. The new edition contains up-to-date results, including the impact assessment of cooperative and automated driving.

Covering the principles, enabling technologies and business models behind mobility-as-a-service (MaaS), this book provides a systematic and thorough overview of the field for researchers, consultants, industry professionals, transport operators and policy makers. Wide ranging case studies offer a variety of approaches and perspectives.

This book comprehensively covers the recently-developed AI techniques for solving condition monitoring and fault detection issues in EV electrical conversion systems. Chapters systematically address condition monitoring and fault detection in EV motors and inverters, with illustrative case studies.

This book offers an overview of the design, modeling, simulation and control of electric vehicle components and charging technologies, from the essentials of EV power electronics and battery management systems, to fault tolerance, charging systems and power quality control, wireless power transfer, and grid integration.

This book explores the principles of analysing maritime-transportation related practical problems using data-driven models, with a particular focus on machine learning. Coverage includes data-enabled methodologies, technologies, applications and case studies.