Volume XLII-4 | Copyright
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 515-521, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-515-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  19 Sep 2018

19 Sep 2018

ANALYSIS OF THE FLOATING CAR DATA OF TURIN PUBLIC TRANSPORTATION SYSTEM: FIRST RESULTS

R. Ravanelli and M. Crespi R. Ravanelli and M. Crespi
  • Geodesy and Geomatics Division, DICEA - University of Rome “La Sapienza”, Rome, Italy

Keywords: Geo Big Data, Floating Car Data, Trajectory Mining, Impedence Map Generation, Network Topology

Abstract. Global Navigation Satellite System (GNSS) sensors represent nowadays a mature technology, low-cost and efficient, to collect large spatio-temporal datasets (Geo Big Data) of vehicle movements in urban environments. Anyway, to extract the mobility information from such Floating Car Data (FCD), specific analysis methodologies are required. In this work, the first attempts to analyse the FCD of the Turin Public Transportation system are presented. Specifically, a preliminary methodology was implemented, in view of an automatic and possible real-time impedance map generation. The FCD acquired by all the vehicles of the Gruppo Torinese Trasporti (GTT) company in the month of April 2017 were thus processed to compute their velocities and a visualization approach based on Osmnx library was adopted. Furthermore, a preliminary temporal analysis was carried out, showing higher velocities in weekend days and not peak hours, as could be expected. Finally, a method to assign the velocities to the line network topology was developed and some tests carried out.

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