Identifying behaviour objective from traffic behaviour log data by using facility ontology
by Yu Sugawara; Takeshi Morita; Hidenao Abe; Shuichi Matsumoto; Takahira Yamaguchi
International Journal of Knowledge Engineering and Soft Data Paradigms (IJKESDP), Vol. 5, No. 2, 2016

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.

Online publication date: Wed, 20-Apr-2016

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