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. ‘ Assisted Eco-Driving addresses one of the most important topics for transportation in these times of the threats from climate change: how can we reduce energy consumption from vehicles. The reduction of energy consumption is important for internal combustion engines, electric vehicles, and hybrids. For electric vehicles, it can help to reduce range anxiety as well as reduce the demand on the wider energy production and transmission system. The authors of this book take a truly multidisciplinary approach, combining automotive engineering, computer science, and human factors to show that truly novel solutions will only be forthcoming if all these perspectives are considered together. They demonstrate this via desktop models, driving simulations, and, ultimately through on-road studies. This book is a must-read for anyone tackling the energy crisis in transportation and beyond.’ Professor Mike Regan , University of New South Wales, Australia ‘This book tackles the difficult problem of reducing energy consumption in transportation by focussing on the interlink between eco-driving and automation. Tools such from the disciplines of engineering, computer science, and human factors are used to characterise driver interaction with eco-driving assistance systems with the aim of reducing energy consumption. In simulator studies and a road trial, the authors showcase eco-driving assistance solutions to overcome the many design challenges. This makes this book an excellent contribution to, and inspiration for, fruitful research and design for user-energy interaction from a multidisciplinary perspective. I can recommend this book to all those involved in designing systems to reducing energy consumption in transportation and beyond.’ Professor Thomas Franke , University of Lübeck, Germany ‘This book provides a practical, comprehensive, and multidisciplinary approach to the design, development, implementation, and evaluation of eco-driving systems. A fundamental challenge is to design vehicle interfaces that provide sufficient feedback to drivers to reduce fuel (energy) consumption. A range of methods is used to examine eco-driving including driver-vehicle modelling, driving simulation, and naturalistic driving. The authors are leading and award-winning scientists from engineering, computer science, and human factors who have pushed the boundaries of eco-driving knowledge forward on multiple fronts. I recommend this book to all those engaged in tackling the problems faced by human contributions to climate change.’ Professor Jeff K. Caird , University of Calgary, Canada Dr. Craig K. Allison earned his PhD in Web Science (Psychology) from the University of Southampton in 2016. Craig received his M.Sc in Web Science from the University of Southampton in 2011, and his B.Sc in Psychology in 2009, also from the University of Southampton. Craig’s research background originated within spatial psychology, before transitioning to Human Factors research. Craig has worked on numerous topics, primarily related to the aviation and automotive industries. With expertise in both qualitative and quantitative analysis, Craig has extensive experience running research trials and working in multidisciplinary teams. Craig’s currently Lecturer in Psychology at Solent University, Southampton. Dr. James M. Fleming earned the MEng and DPhil degrees in Engineering Science from the University of Oxford in 2012 and 2016 respectively, following which he spent three years as a Research Fellow at the University of Southampton before joining the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University in September 2019. He has research interests in the theory and practice of optimal control and model predictive control, with applications to fuel- and energy- efficient driving, motorcycle stability and renewable energy. Dr Xingda Yan earned the B.Eng. degree in automation from the Harbin Institute of Technology, Harbin, China, in 2012, and the Ph.D.