Bai, L., Ireson, N., Mazumdar, S. orcid.org/0000-0002-0748-7638 et al. (1 more author) (2017) Lessons Learned Using Wi-Fi and Bluetooth as Means to Monitor Public Service Usage. In: UbiComp '17 Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. Pervasive Urban Applications Workshop at International Joint Conference on Pervasive and Ubiquitous Computing, 11-15 Sep 2017, Maui, Hawaii. ACM , pp. 432-440. ISBN 978-1-4503-5190-4
Abstract
Facets of urban public transport such as occupancy, waiting times, route preferences are essential to help deliver improved services as well as better information for passengers to plan their daily travel. The ability to automatically estimate passenger occupancy in near real-time throughout cities will be a step change in the way public service usage is currently estimated and provide significant insights to decision makers. The ever-increasing popularity and abundance of mobile devices with always-on Wi-Fi/Bluetooth interfaces makes Wi-Fi/Bluetooth sensing a promising approach for estimating passenger load. In this paper, we present a Wi-Fi/Bluetooth sensing system to detect mobile devices for estimating passenger counts using public transport. We present our findings on an initial set of experiments on a series of bus/tram journeys encapsulating different scenarios over five days in a UK metropolitan area. Our initial experiments show promising results and we present our plans for future large-scale experiments.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © ACM 2017. This is an author produced version of a paper subsequently published in UbiComp '17. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 688082 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Jul 2017 12:14 |
Last Modified: | 13 Nov 2017 11:26 |
Published Version: | https://doi.org/10.1145/3123024.3124417 |
Status: | Published |
Publisher: | ACM |
Refereed: | Yes |
Identification Number: | 10.1145/3123024.3124417 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:119205 |