Extracting trip statistics from passive RFID detection and active vehicle location

Authors

  • Louie John M. Rubio ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Noriel Christopher C. Tiglao ⋅ PH National College of Public Administration and Governance, University of the Philippines Diliman
  • May T. Lim ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

The availability of large data feeds provide new avenues for describing public transport systems. In this work, we extract trip statistics of tagged vehicles using RFID detection data in different stations and time series geospatial data for jeepneys in General Santos City. Approximate average speeds were obtained for vehicles travelling between stations with assumptions on the paths taken by the vehicles. Instantaneous speeds can be calculated from the GPS data for segments of interest and average speeds can be computed by isolating points near the stations. However, since there is minimal overlap for some segments of interest with the jeepney tracks, only a small number of average speeds could be computed for the GPS data.

Downloads

Issue

Article ID

SPP-2021-PB-22

Section

Poster Session B (Complex Systems, Photonics, and Interdisciplinary Topics)

Published

2021-10-15

How to Cite

[1]
LJM Rubio, NCC Tiglao, and MT Lim, Extracting trip statistics from passive RFID detection and active vehicle location, Proceedings of the Samahang Pisika ng Pilipinas 39, SPP-2021-PB-22 (2021). URL: https://proceedings.spp-online.org/article/view/SPP-2021-PB-22.