Abstract | ||
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ABSTRACT The recent advances in vehicular crowd sensing technology have paved the way for city-scale monitoring of parking spot availability. It enables intelligent parking navigation with the spot-level granularity, guiding drivers to the most convenient available spot within a busy parking lot. Since people would have various preferences on parking spot selection, personalization is a key to improve user experience in such parking navigation systems. In this paper, we investigate the feasibility of predicting a parking spot that a user would prefer out of a given set of available candidates. |
Year | DOI | Venue |
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2021 | 10.1145/3460418.3479273 | Ubiquitous Computing |
Keywords | DocType | Citations |
Intelligent Parking, Personalization | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
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Takamasa Higuchi | 1 | 21 | 9.22 |
Kentaro Oguchi | 2 | 0 | 3.38 |