Short description:

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.

Long description:

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

Table of Contents:

Chapter 1: Eco-driving: Reducing emissions from everyday driving behaviours

Chapter 2: Applying Cognitive Work Analysis to Understand Fuel-Efficient Driving

Chapter 3: Adaptive driver modelling in eco-driving assistance systems

Chapter 4: Taming Design with Intent using Cognitive Work Analysis

Chapter 5: Applying Design with Intent to support creativity in developing vehicle fuel efficiency interfaces

Chapter 6: Incorporating driver preferences into eco-driving optimal controllers

Chapter 7: Receding horizon eco-driving assistance systems for electric vehicles

Chapter 8: Assessment of a visual interface to reduce fuel use

Chapter 9: Assisted versus unassisted eco-driving for electrified powertrains

Chapter 10: Predictive eco-driving assistance on the road

Chapter 11: Designing for eco-driving: Guidelines for a more fuel-efficient vehicle and driver