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Rail Vehicle Detection Enabling Adaptive Device Free Crowd Size Estimation in Subway Stations

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Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 571)


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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  1. The Invention of the Track Circuit. American Railway Association, New York.

  2. IEC 62279:2015 Railway applications - Communication, signalling and processing systems - Software for railway control and protection systems. International Electrotechnical Commission.

  3. DASH7 Alliance (2020) DASH7 Alliance Wireless Sensor and Actuator Network Protocol - VERSION 1.2. Technical report

    Google Scholar 

  4. 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).

  5. 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).

  6. Hofstetter, E., Haas, K.: Axle Counter For Railroad Installations (1962).

  7. Rosenberger, M.: Future Challenges to Axle Counting Systems. Aspect, pp. 1–16 (2012). &RefNo=1559669757 &GroupMembers=01

  8. Stanley, J.: The Dawn of Robot Surveillance. Technical report June, American Civil Liberties Union, New York (2019).

  9. STMicroelectronics: VL53L1X A new generation, long distance ranging Time-of-Flight sensor based on ST’s FlightSense\(^{\text{TM}}\) technology. Datasheet (2018).

  10. 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).

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Correspondence to Robin Janssens .

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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.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19944-8

  • Online ISBN: 978-3-031-19945-5

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