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README.md
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README.md

Abstract

An open dataset for typical people mass movement in urban areas

Article link(https://authors.elsevier.com/sd/article/S0968090X17302644)

  • Takehiro Kashiyama, Yanbo Pang, Yoshihide Sekimoto, Open PFLOW: Creation and evaluation of an open dataset for typical people mass movement in urban areas, Transportation Research Part C: Emerging Technologies, Volume 85, Pages 249–267, December 2017.

Contact

If you have something to ask us about the dataset, please contact : ksym[at]iis.u-tokyo.ac.jp

Web site: Sekimoto lab, Institute of Industrial Science, University of Tokyo

Citation

If you use or find out our dataset useful, please cite our paper in your paper.

Format

  • id : unique agent id (int)
  • time : YYYY/MM/DD HH:mm:ss(char[])
  • longitude : SRID-4326(double)
  • latitude: SRID-4326(double)
  • transport: STAY-99, WALK-1, VEHICLE-2, TRAIN-3, BICYCLE-4(int)
  • magnification factor: (double)

DataSet

  • tokyo metropolitan area(nodebase)
  • chukyo metropolitan area(preparing)
  • hanshin metropolitan area(preparing)

License

Images on this dataset are available under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). The license and link to the legal document can be found next to every image on the service in the image information panel and contains the CC BY-SA 4.0 mark:
Creative Commons License

Visualization

sample

Let's click 'Show Sample Data' button

movie1

People distribution visualized in a time series representation. Each dot represents a person.

tokyo_point

movie2

Trips visualized in a time series representation. Each line represents a trip, and each color represents a movement status (green: train, orange: vehicle).

tokyo_tail

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