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 |
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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 | |
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)