Authors:
Gabor Feher
;
Balazs Andras Lajtha
and
Akos Lovasz
Affiliation:
Budapest University of Technology and Economics, Hungary
Keyword(s):
Smart City, Parking, Parking Route, Parking Probability.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Intelligent Transport Systems and Traffic Management
;
Smart Cities
;
User-Centred and Participatory Design of Services and Systems for Smart Cities
Abstract:
Urban parking is an important issue in all modern countries. Technological advances, with in-car sensors
and always connected smartphones have already paved the way to an ICT solution for this problem. However,
every attempt - including that of such a big companies, as Google - has failed to provide a suitable solution. So
far, the appeared solutions were centered around the notion of free parking spots. This approach does not take
into account the dynamics of the traffic and the drivers outside of the system. Here we propose a fundamentally
different approach based on parking probabilities and parking routes. Our solution can truly reduce the time,
resource and environmental damage wasted on parking place hunting, while keeping the operational costs low
and the users satisfied.