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.
Original language | English |
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Title of host publication | 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 |
Publisher | Association for Computing Machinery |
Pages | 432-440 |
Number of pages | 9 |
ISBN (Electronic) | 9781450351904 |
DOIs | |
Publication status | Published - 11 Sept 2017 |
Externally published | Yes |
Event | 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 - Maui, United States Duration: 11 Sept 2017 → 15 Sept 2017 |
Publication series
Name | Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the ACM International Symposium on Wearable Computers |
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Conference
Conference | 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 |
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Country/Territory | United States |
City | Maui |
Period | 11/09/2017 → 15/09/2017 |
Bibliographical note
Funding Information:This work is supported by Seta (A ubiquitous data and service ecosystem for better metropolitan mobility) project funded by the European Commission as part of the Horizon 2020 programme under contract 688082.
Publisher Copyright:
Copyright © 2017 ACM.
Keywords
- Low cost
- Passenger load estimation
- Wi-Fi/Bluetooth sensing
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Networks and Communications