Title
On the Predictability of Parking Preferences
Abstract
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
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
Takamasa Higuchi1219.22
Kentaro Oguchi203.38