Abstract
In order to enable reliable device free crowd size estimation at subway platforms during the stop and boarding time of underground rail transit systems, knowledge regarding whether or not a rail vehicle is present at the platform is crucial. To accommodate this need, we developed a low-cost battery-powered sensor node capable of detecting the presence of a rail vehicle in a subway station. We make use of two infrared laser-based time-of-flight (ToF) sensors installed at both the ingress and egress tunnel of a subway station. Due to this dual sensor approach, we are able to filter out and signal anomalous events such as a human walking past the sensor. We deployed the system at a subway station to benchmark its accuracy and found the implemented algorithms to be effective at filtering out false positives. However, recall rates are limited between 75 and 80% due to issues originating in the wireless communication stack. This demonstrates the feasibility of rail vehicle detection using ToF sensors in order to improve our device free crowd size estimation.
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The Invention of the Track Circuit. American Railway Association, New York. https://archive.org/details/inventionoftrack00newyrich
IEC 62279:2015 Railway applications - Communication, signalling and processing systems - Software for railway control and protection systems. International Electrotechnical Commission. https://webstore.iec.ch/publication/22781
DASH7 Alliance (2020) DASH7 Alliance Wireless Sensor and Actuator Network Protocol - VERSION 1.2. Technical report
Denis, S., Bellekens, B., Kaya, A., Berkvens, R., Weyn, M.: Large-scale crowd analysis through the use of passive radio sensing networks. Sensors (Switzerland) 20(9) (2020). https://doi.org/10.3390/s20092624
Frischmuth, E.: The introduction of electric traction on main-line railways. In: Bulletin of the International Railway Congress Association, vol. 23, pp. 828–850 (1909). https://books.google.be/books?id=s3ohAQAAMAAJ
Hofstetter, E., Haas, K.: Axle Counter For Railroad Installations (1962). https://patents.google.com/patent/US3015725
Rosenberger, M.: Future Challenges to Axle Counting Systems. Aspect, pp. 1–16 (2012). https://webinfo.uk/webdocssl/irse-kbase/ref-viewer.aspx?type= &RefNo=1559669757 &GroupMembers=01
Stanley, J.: The Dawn of Robot Surveillance. Technical report June, American Civil Liberties Union, New York (2019). https://www.aclu.org/report/dawn-robot-surveillance
STMicroelectronics: VL53L1X A new generation, long distance ranging Time-of-Flight sensor based on ST’s FlightSense\(^{\text{TM}}\) technology. Datasheet (2018). https://www.st.com/resource/en/datasheet/vl53l1x.pdf
The European Commission (2011) COMMISSION IMPLEMENTING DECISION of 8 December 2011 amending Decision 2006/771/EC on harmonisation of the radio spectrum for use by short-range devices. Official J. Eur. Union (2011). https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=CELEX
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Janssens, R., Berkvens, R., Hellinckx, P., Denis, S. (2023). Rail Vehicle Detection Enabling Adaptive Device Free Crowd Size Estimation in Subway Stations. In: Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2022. Lecture Notes in Networks and Systems, vol 571. Springer, Cham. https://doi.org/10.1007/978-3-031-19945-5_26
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DOI: https://doi.org/10.1007/978-3-031-19945-5_26
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