Abstract
Since assessment of entire travel chains (ETC) depends on the properties of its elements, information provision in final phase of driving, namely parking movements is required. In order to enhance perceived quality, a personalization method for parking assistant applications (PAA) has been devised. Several PAAs have been compared and the parking habits and expectations of the travellers have been revealed. As it turned out all of the innovative properties are still not combined into one PAA, they can be found only partially. Furthermore, personalized information is considerably important for travellers, however the diversity of their needs is less than it was supposed at the beginning of the research. Based on these results conception of the parking assistant system (PAS) has been framed. For demonstration of the operation an application has also been developed. Finally the directions of the further research have been discussed.
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