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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Ashok, K., Ben-Akiva, M.E.: Dynamic origin-destination matrix estimation and prediction for real- time traffic management systems. In: 12th International Symposium on the Theory of Traffic Flow and Transportation, Berkeley, California, USA (1993)
Ribeiro, J., Zúquete, A., Sargento, S.: Survey of public transport routes with Wi-Fi. In: Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2018), Santa Cruz, Madeira Island, Portugal (2018)
Abedi, N., Bhaskar, A., Chung, E.: Bluetooth and Wi-Fi MAC address based crowd data collection and monitoring: benefits, challenges and enhancement. In: 36th Australasian Transport Research Forum (ATRF), Brisbane, Australia (2013)
Musa, A.B.M., Eriksson, J.: Tracking unmodified smartphones using Wi-Fi monitors. In: Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems (SenSys 2012), Toronto, Canada, pp. 281–294 (2012)
Kostakos, V., Camacho, T., Mantero, C.: Wireless detection of end-to-end passenger trips on public transport buses. In: 13th International IEEE Conference on Intelligent Transportation Systems (ITSC2010), Funchal, Madeira Island, Portugal, pp. 1795–1800 (2010)
O’Neill, E., et al.: Instrumenting the city: developing methods for observing and understanding the digital cityscape. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 315–332. Springer, Heidelberg (2006). https://doi.org/10.1007/11853565_19
Bullock, D., Haseman, R., Wasson, J., Spitler, R.: Automated measurement of wait times at airport security: deployment at Indianapolis international airport, Indiana. Transp. Res. Rec.: J. Transp. Res. Board 2177, 60–68 (2010)
Shlayan, N., Kurkcu, A., Ozbay, K.: Exploring pedestrian Bluetooth and WiFi detection at public transportation terminals. In: IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil, pp. 229–234 (2016)
Schauer, L., Werner, M., Marcus, P.: Estimating crowd densities and pedestrian flows using wi-fi and bluetooth. In: Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, London, United Kingdom, pp. 171–177 (2014)
Yuan, Y.: Crowd monitoring using mobile phones. In: Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC 2014), Hangzhou, China, pp. 261–264 (2014)
Chilipirea, C., Petre, A.C., Dobre, C., van Steen, M.: Presumably simple: monitoring crowds using WiFi. In: 17th IEEE International Conference on Mobile Data Management (MDM), Porto, Portugal, pp. 220–225 (2016)
Ricardo, L., Sargento, S., Oliveira, I.C.: An information system for bus travelling and performance evaluation. In: Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2018), Santa Cruz, Madeira Island, Portugal (2018)
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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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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