Identifying types of staying facilities from traffic behavior log data

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

doi:10.1016/j.procs.2014.08.232

Identifying types of staying facilities from traffic behavior log data

Yu Sugawara, Takeshi Morita, Hidenao Abe, Shuichi Matsumoto, Takahira Yamaguchi

管理工学科

研究成果: Conference article › 査読

抄録

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.

本文言語	English
ページ（範囲）	1495-1504
ページ数	10
ジャーナル	Procedia Computer Science
巻	35
号	C
DOI	https://doi.org/10.1016/j.procs.2014.08.232
出版ステータス	Published - 2014 1 1
イベント	International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2014 - Gdynia, Poland 継続期間: 2014 9 15 → 2014 9 17

ASJC Scopus subject areas

Computer Science(all)

文献へのアクセス

10.1016/j.procs.2014.08.232

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引用スタイル

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AU - Yamaguchi, Takahira

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KW - Person Trip Survey

KW - Positional Data

KW - Traffic Behavior Survey

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