Contents: Part I Introduction: Driver acceptance of new technology: overview, Michael A. Regan, Alan Stevens and Tim Horberry. Part II Theories and Models of Driver Acceptance: The definition of acceptance and acceptability, Emeli Adell, AndrA¡s VA¡rhelyi and Lena Nilsson; Modelling acceptance of driver assistance systems: application of the unified theory of acceptance and use of technology, Emeli Adell, AndrA¡s VA¡rhelyi and Lena Nilsson; Socio-psychological factors that influence acceptability of intelligent transport systems; a model, Sven Vlassenroot and Karel Brookhuis; Modelling driver acceptance: from feedback to monitoring and mentoring systems, Mahtab Ghazizadeh and John D. Lee. Part III Measurement of Driver Acceptance: How is acceptance measured? Overview of measurement issues, methods and tools, Emeli Adell, Lena Nilsson and AndrA¡s VA¡rhelyi; Measuring acceptability through questionnaires and focus groups, Eve Mitsopoulos-Rubens and Michael A. Regan; The profile of emotional designs: a tool for the measurement of affective and cognitive responses to in-vehicle innovations, Robert Edmunds, Lisa Dorn and Lee Skrypchuk; An empirical method for quantifying drivers’ level of acceptance of alerts issued by automotive active safety systems, Jan-Erik KA¤llhammer, Kip Smith and Erik Hollnagel. Part IV Data on Driver Acceptance: Case Studies: Driver acceptance of in-vehicle information, assistance and automated systems: an overview, Gary Burnett and Cyriel Diels; Driver acceptance of electric vehicles: findings from the French MINI E study, Elodie Labeye, Corinne Brusque and Michael A. Regan; User-centred design and evaluation as a prerequisite for the success of disruptive innovations: an electric vehicle case study, Roman Vilimek and Andreas Keinath; Motorcycle riders’ acceptance of advanced rider assistance systems, Veronique Huth; Driver acceptance of technologies deployed within the road infrastructure, Alan Stevens and Nick Reed; Operator assistance o