ABSTRACT
In this chapter, the authors focus on the socio-psychological factors that influences acceptability of intelligent transport systems (ITS) by drivers who have not experienced use of the system. They also focus on how the acceptability of ITS can be measured. Different theories, methods and studies are analysed to define acceptability and to identify the factors that could influence the degree of acceptability. The level of acceptability for the device can depend on how well informed the respondents are about the problem and about the device that is introduced to solve the problem. Technology Acceptance Model has been used – in the field of ITS – in the prediction of electronic toll collection. An in-depth analysis was conducted on different user acceptance models, acceptability theories and studies that were used in the ITS field. It is assumed that implementing ITS in the fleet of professional vehicles would be very effective in increasing acceptability rates.
