Abstract
GNSS based systems (like GPS or GLONASS) for outdoor localization are nowadays widespread in common smartphones. Vehicle-2-vehicle technology allows vehicles to communicate via wireless to share any kind of information and detect mutual distances via RSS-to-distance evaluation. Smartphones can be used to detect when an user switches between car driving, walking and several other kind of activities.
In this paper we discuss a novel methodology to discover nearest available street-parking spot using a smart combination of V2V, GNSS systems and smartphone-driven activity detection. In order to achieve system ubiquitousness across large areas (beyond the size of a single city), while still keeping low computation requirements, for localization purposes we only consider a fragment of the whole network of parked cars. Additionally we consider recognition of newly available parking clusters (for instance, in case of a fair or other kind of events) and disqualification of previously available spots (in case of work in progress or permanent street modifications). Smartphone activity detection is therefore used in tandem with V2V to mark new parking availability or occupancy based on user driving or walking away or toward the vehicle. When the user stops the car and starts walking, the vehicle is informed by the user smartphone of the context switch, and shares this positional information with nearby cars; when the user then goes back to his car and starts driving, the vehicle informs the local network of the newly available spot.
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Balzano, W., Vitale, F. (2018). PAM-SAD: Ubiquitous Car Parking Availability Model Based on V2V and Smartphone Activity Detection. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2017. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-319-59480-4_24
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DOI: https://doi.org/10.1007/978-3-319-59480-4_24
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