Identifying types of staying facilities from traffic behavior log data

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProcedia Computer Science
PublisherElsevier
Pages1495-1504
Number of pages10
Volume35
EditionC
DOIs
Publication statusPublished - 2014
EventInternational Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2014 - Gdynia, Poland
Duration: 2014 Sep 152014 Sep 17

Other

OtherInternational Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2014
CountryPoland
CityGdynia
Period14/9/1514/9/17

Fingerprint

Global positioning system
Application programming interfaces (API)
Telecommunication traffic
Information technology
Ontology
Personnel

Keywords

  • Automation
  • Log Data
  • Person Trip Survey
  • Positional Data
  • Traffic Behavior Survey

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Sugawara, Y., Morita, T., Abe, H., Matsumoto, S., & Yamaguchi, T. (2014). Identifying types of staying facilities from traffic behavior log data. In Procedia Computer Science (C ed., Vol. 35, pp. 1495-1504). Elsevier. https://doi.org/10.1016/j.procs.2014.08.232

Identifying types of staying facilities from traffic behavior log data. / Sugawara, Yu; Morita, Takeshi; Abe, Hidenao; Matsumoto, Shuichi; Yamaguchi, Takahira.

Procedia Computer Science. Vol. 35 C. ed. Elsevier, 2014. p. 1495-1504.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sugawara, Y, Morita, T, Abe, H, Matsumoto, S & Yamaguchi, T 2014, Identifying types of staying facilities from traffic behavior log data. in Procedia Computer Science. C edn, vol. 35, Elsevier, pp. 1495-1504, International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2014, Gdynia, Poland, 14/9/15. https://doi.org/10.1016/j.procs.2014.08.232
Sugawara Y, Morita T, Abe H, Matsumoto S, Yamaguchi T. Identifying types of staying facilities from traffic behavior log data. In Procedia Computer Science. C ed. Vol. 35. Elsevier. 2014. p. 1495-1504 https://doi.org/10.1016/j.procs.2014.08.232
Sugawara, Yu ; Morita, Takeshi ; Abe, Hidenao ; Matsumoto, Shuichi ; Yamaguchi, Takahira. / Identifying types of staying facilities from traffic behavior log data. Procedia Computer Science. Vol. 35 C. ed. Elsevier, 2014. pp. 1495-1504
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