A major success factor for the implementation of intelligent transportation systems (ITS) is knowledge about the user's reaction and response to such technologies. The objective of each development process is to achieve a broad acceptance among those using the system. User acceptance is a key success factor, so it should be taken into account in early development stages. This applies especially for technical solutions requiring frequent interactions, for example, to influence the driver's behavior toward a more efficient driving style. The complexity of developments in the field of ITS raises the question: At what point do users start feeling overloaded and no longer able to handle all functionalities, ultimately rejecting using them? A Europe-wide study was carried out (N = 5,807) focusing on drivers’ perceptions of cooperative systems that offer assistance on fuel efficiency. The advanced driver assistance systems (ADAS) used in the study have the potential to change driving behavior in the long term and thus have a sustainable impact to reduce fuel consumption and traffic emissions. ADAS functionalities provide up-to-date traffic information, which is disseminated by traffic management to help traffic flow in a more energy efficient way. Six ADAS functions were assessed in pre-, on-, and post-trip driving situations. The chosen research framework was used to compare the users’ perception using a set of relevant acceptance factors that were developed in this study. The results showed significant effects between acceptance factors and the influencing variables. The interrelations between acceptance factors were analyzed using a research model developed in this study. The concept proves to be suitable for studying acceptance of ITS solutions aiming to save fuel.
Driver Assistance Systems for Transport System Efficiency: Influencing Factors on User Acceptance
Journal of Intelligent Transportation Systems ; 17 , 3 ; 245-254
2013-08-01
10 pages
Article (Journal)
Electronic Resource
English
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