Eco-driving has the potential to save fuel and reduce emissions without having to make any changes to vehicles or road infrastructure. This book provides an in-depth understanding of the contemporary issues in the human factors aspects of eco-driving strategies and interfaces and the effects on driver behaviour. A review of the literature concerning design, behaviour, and energy use led to an exploration of Ecological Interface Design, and the Skills, Rules, and Knowledge (SRK) taxonomy of human behaviour, particularly with regard to haptic information presented through the accelerator pedal. This book explains that eco-driving can be performed by anyone in control of a vehicle.

This book discusses an integrative approach combining Human Factors expertise with Automotive Engineering. It develops an in-depth case study of designing a fuel-efficient driving intervention and offers an examination of an innovative study of feed-forward eco-driving advice. Assisted Eco-Driving: A Practical Guide to the Design and Testing of an Eco-Driving Assistance System offers an examination of an innovative study of feed-forward eco-driving advice based on current vehicle and road environment status. It presents lessons, insights and utilises a documented scientific and research-led approach to designing novel speed advisory and fuel use minimisation systems suitable for combustion vehicles, hybrids and electric vehicles The audience consists of system designers and those working with interfaces and interactions, UX, human factors and ergonomics and system engineering. Automotive academics, researchers, and practitioners will also find this book of interest.

This book elaborates the science and engineering basis for energy-efficient driving in conventional and autonomous cars. After covering the physics of energy-efficient motion in conventional, hybrid, and electric powertrains, the book chiefly focuses on the energy-saving potential of connected and automated vehicles. It reveals how being connected to other vehicles and the infrastructure enables the anticipation of upcoming driving-relevant factors, e.g. hills, curves, slow traffic, state of traffic signals, and movements of nearby vehicles. In turn, automation allows vehicles to adjust their motion more precisely in anticipation of upcoming events, and to save energy. Lastly, the energy-efficient motion of connected and automated vehicles could have a harmonizing effect on mixed traffic, leading to additional energy savings for neighboring vehicles. Building on classical methods of powertrain modeling, optimization, and optimal control, the book further develops the theory of energy-efficient driving. In addition, it presents numerous theoretical and applied case studies that highlight the real-world implications of the theory developed. The book is chiefly intended for undergraduate and graduate engineering students and industry practitioners with a background in mechanical, electrical, or automotive engineering, computer science or robotics.

This book focuses on the water–energy–climate nexus, which can be used to improve energy security and quality of life for millions of people in developing countries. It enhances the reader’s understanding of the link between energy and climate, through the development of new approaches to and methods for energy generation, energy use, and climate change adaptation and resilience. By presenting case studies and research reports, the book addresses the relevant issues needed in order to analyze and successfully implement technologies in the water–energy–climate nexus. It focuses on the contributions of higher education institutions in terms of capacity-building for energy efficiency, energy access and energy security, as they relate to climate change mitigation. The book combines results from the authors’ own research with detailed analyses, and the research presented lays the foundation for innovative new concepts and ideas, which the authors subsequently discuss. The book will appeal to all those interested in the links between energy issues, sustainability and climate change, as it focuses on the exchange between science and technology experts, as well as decision makers. It also supports students studying renewable energies and energy security, while serving as a valuable reference source for researchers, professionals, practitioners and scientists.

Ambient Intelligence (AmI) is a recent paradigm emerging from Artificial Intelligence (AI), where computers are used as proactive tools assisting people with their day-to-day activities, making everyone’s life more comfortable. Another main concern of AmI originates from the human computer interaction domain and focuses on offering ways to interact with systems in a more natural way by means user friendly interfaces. This field is evolving quickly as can be witnessed by the emerging natural language and gesture based types of interaction. The inclusion of computational power and communication technologies in everyday objects is growing and their embedding into our environments should be as invisible as possible. In order for AmI to be successful, human interaction with computing power and embedded systems in the surroundings should be smooth and happen without people actually noticing it. The only awareness people should have arises from AmI: more safety, comfort and wellbeing, emerging in a natural and inherent way. ISAmI is the International Symposium on Ambient Intelligence and aiming to bring together researchers from various disciplines that constitute the scientific field of Ambient Intelligence to present and discuss the latest results, new ideas, projects and lessons learned, namely in terms of software and applications, and aims to bring together researchers from various disciplines that are interested in all aspects of this area.

This volume explores cognitive ergonomics, which is concerned with mental processes—otherwise known as brain work. It discusses perception, memory, reasoning, and motor response, as they affect interactions among humans and other elements of a system. Topics will include mental workload, decision-making, skilled performance, human-computer interaction, human reliability, work stress and training as these relate to human-system design. This book brings together a wide-ranging set of contributed articles that address emerging practices and future trends in cognitive engineering and neuroergonomics– both aim to harmoniously integrate human operator and computational system, the former through a tighter cognitive fit and the latter a more effective neural fit with the system. The chapters in this book uncover novel discoveries and communicate new understanding and the most recent advances in the areas of workload and stress, activity theory, human error and risk, and neuroergonomic measures, as well as associated applications.