Title: Identifying behaviour objective from traffic behaviour log data by using facility ontology

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

Addresses: Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan ' Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan ' Faculty of Information and Communications, Bunkyo University, 1100 Namegaya, Chigasaki-shi, Kanagawa 253-8850, Japan ' Faculty of Information and Communications, Bunkyo University, 1100 Namegaya, Chigasaki-shi, Kanagawa 253-8850, Japan ' Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan

Abstract: Traffic behaviour surveys by hand require both a lot of money and human resources. Recently, traffic behaviour surveys using information technology have been carried out. In this study, we propose a method to extract staying points from GPS-based positional data, to identify the types of staying facilities by using Google Places API, a facility ontology, the regularity which is analysed from trip chains about traffic behaviour and to determine the behaviour objectives based on the rules between the behaviour objectives and the types of staying facilities. This method could identify 67.9% behaviour objectives in the evaluation using GPS location data from the traffic behaviour survey in Nagasaki.

Keywords: ITS; intelligent transport systems; traffic behaviour survey; person trip survey; GPS; global positioning systems; positional data; log data; automation; smartphones; location systems; behaviour identification; facility ontology; trip destinations; stopping places.

DOI: 10.1504/IJKESDP.2016.075975

International Journal of Knowledge Engineering and Soft Data Paradigms, 2016 Vol.5 No.2, pp.68 - 84

Received: 22 Jul 2015
Accepted: 24 Sep 2015
Published online: 20 Apr 2016 *

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