Identifying Types of Staying Facilities from Traffic Behavior Log Data | Zendy

Yu Sugawara | Zendy; Takeshi Morita | Zendy; Hidenao Abe | Zendy; Shuichi Matsumoto | Zendy; Takahira Yamaguchi | Zendy

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Identifying Types of Staying Facilities from Traffic Behavior Log Data

Author(s) -

Yu Sugawara,

Takeshi Morita,

Hidenao Abe,

Shuichi Matsumoto,

Takahira Yamaguchi

Publication year - 2014

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2014.08.232

Subject(s) - computer science , global positioning system , ontology , transport engineering , telecommunications , philosophy , epistemology , engineering

Traffic behavior surveys by hand require both a lot of money and human resources. Recently, traffic behavior surveys using information technology have been carried out. In this study, we propose a method to extract staying points from GPS-based positional data and identify the types of staying facilities by using Google Places API, a facility ontology, the regularity which is analyzed from trip chains about traffic behavior. This method could identify 68.5% types of staying facilities correctly in the evaluation using GPS location data from the Traffic Behavior Survey in Nagasaki

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