Data-Driven Geofencing Design for Point-of-Interest Notifiers Utilizing Genetic Algorithm

This study proposes a method for generating geofences driven by GPS trajectory data to realize scalable point-of-interest (POI) notifiers, encouraging walking tourists to discover new local spots. The case study revealed that manual geofence settings degrade the location relevance and user coverage—...

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Vydané v:	ISPRS international journal of geo-information Ročník 13; číslo 6; s. 174
Hlavní autori:	Sasaki, Iori, Arikawa, Masatoshi, Lu, Min, Utsumi, Tomihiro, Sato, Ryo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 25.05.2024
Predmet:	Algorithms Case studies cost effectiveness Design Designers flexible circular geofence Flow distribution Flow pattern genetic algorithm Genetic algorithms Genetic research geo-notification Geofences geofencing Global positioning systems GPS GPS trajectory Quality of service Reliability Subject specialists surveys Tourism Tourists Trajectories trigger event separation Usability User experience Japan United States > US
ISSN:	2220-9964, 2220-9964
On-line prístup:	Získať plný text
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