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Survey of Passengers’ Origin-Destination in Public Transportation Networks Using Wi-Fi

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Smart Cities, Green Technologies and Intelligent Transport Systems (SMARTGREENS 2018, VEHITS 2018)

Abstract

The knowledge of Origin-Destination (OD) locations of passengers using public transports is an important instrument to improve the service provided. In this paper, we describe a system that uses the passengers’ devices with an enabled Wi-Fi interface to track them along a transportation trip in order to infer OD information. The system does not require the cooperation of passengers other than having a device with an enabled Wi-Fi interface. The tracking system preserves the privacy of passengers, since no centrally stored raw data has any device-specific information. We deployed a prototype of the system in a bus of Porto’s public transportation network, which along several months collected 165161 passengers’ OD locations. A posterior analysis of the data gathered revealed the presence of false positives, which required the enforcement of filtering procedures in order to get values that are more reasonable for extracting relevant OD information. A comparison of bus occupancy loads of several weekdays during rush hours allowed us to find some patterns, which are an evidence of the correctness of the OD information extracted.

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Acknowledgements

This work was supported in part by National Funds through FCT - Fundação para a Ciência e a Tecnologia under the project UID/EEA/50008/2013, in part by the IT Internal Project SmartCityMules and in part by the CMU-Portugal Program through S2MovingCity: Sensing and Serving a Moving City under Grant CMUP-ERI/TIC/0010/2014.

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Correspondence to André Zúquete .

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Ribeiro, J., Zúquete, A., Sargento, S. (2019). Survey of Passengers’ Origin-Destination in Public Transportation Networks Using Wi-Fi. In: Donnellan, B., Klein, C., Helfert, M., Gusikhin, O. (eds) Smart Cities, Green Technologies and Intelligent Transport Systems. SMARTGREENS VEHITS 2018 2018. Communications in Computer and Information Science, vol 992. Springer, Cham. https://doi.org/10.1007/978-3-030-26633-2_18

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  • DOI: https://doi.org/10.1007/978-3-030-26633-2_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26632-5

  • Online ISBN: 978-3-030-26633-2

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