DOI QR코드

DOI QR Code

A Disembarking Notification Application Based on Smart Device using High Frequencies from Built-in Speaker of Public Transportation

  • Received : 2019.03.28
  • Accepted : 2019.04.10
  • Published : 2019.04.30

Abstract

Recently, many people enjoy movies and music content through their smart devices for using public transportation like as bus or subway. However, because their concentration is aimed at content on their smart devices, passengers sometimes forget to disembark and miss their destination stations. Therefore, in this paper, we propose a destination notification system for disembarking public transport using high frequencies based on the smart devices. We tested 1,000 times real-time destination notification to performance evaluate of the proposed application and service system. According to the test results, the proposed system showed 99.4% and 99.6% accuracy and we confirmed that it could be very useful. As such, the proposed system could be a useful technology for notifying smart device users when to get off public transport, capable of global commercialization.

Keywords

CPTSCQ_2019_v24n4_99_f0001.png 이미지

Fig. 1. The flow of the proposed application and server system

CPTSCQ_2019_v24n4_99_f0002.png 이미지

Fig. 2. An example of proposed high frequencies for disembarking notification

CPTSCQ_2019_v24n4_99_f0003.png 이미지

Fig. 3. The pseudo code for high frequencies detection to notify disembarking

CPTSCQ_2019_v24n4_99_f0004.png 이미지

Fig. 4. Screen composition of the proposed application for disembarking notification

CPTSCQ_2019_v24n4_99_f0005.png 이미지

Fig. 5. The disembarkation notification of the proposed application when subway is approaching the destination

CPTSCQ_2019_v24n4_99_f0006.png 이미지

Fig. 6. Seoul subway line 2 map and the high frequencies value for each subway station

CPTSCQ_2019_v24n4_99_f0007.png 이미지

Fig. 7. The disembarkation notification result of the pair high frequencies from each smart device

CPTSCQ_2019_v24n4_99_f0008.png 이미지

Fig. 8. The disembarkation notification result at two distinguish space of the subway

Table 1. The value of high frequencies for each bit data

CPTSCQ_2019_v24n4_99_t0001.png 이미지

Table 2. The value of a pair high frequencies for each subway station

CPTSCQ_2019_v24n4_99_t0002.png 이미지

References

  1. H. Kasahara,, M. Mori, M. Mukunoki, and M. Minoh, "Transportation Mode Annotation of Tourist GPS Trajectories under Environmental Constraints," In Information and Communication Technologies in Tourism 2015, pp. 523-535, 2015.
  2. Smarter Subway, loplatX, https://loplat.com/cases
  3. M.B. Chung, "Detection System of Robust High Frequency Range via Noise Collection and Analysis," Korean Society of Computer Information, Vol. 22, No. 1, pp. 71-76, January 2017. https://doi.org/10.9708/jksci.2017.22.01.071
  4. OEBB, Scotty, http://www.oebb.at/de/Reiseplanung/Fahrplanauskunft/Mobile_Dienste/SCOTTY_mobil/inde x.jsp
  5. Fahrplanauskunft und Routenplaner - nextstop.at, Mobile City, http://www.nextstop.at
  6. Zervaas Enterprises, TransitTimes+ Trip Planner, http://transittimesapp.com/
  7. M.A. Ayob, M.N.F. Saaid, K.M. Dimyati, and K.A. Maarof, "Destination Alarm Notification for Public Transportation Passenger using Geo-Fence in Mobile App.," In IOP Conference Series: Earth and Environmental Science, Vol. 169, No. 1, pp. 012087, June 2018.
  8. B.Y. Low, S.H. Dahlan, and M.H.A. Wahab, "Real-time Bus Location and Arrival Information System," In 2016 IEEE Conference on Wireless Sensors (ICWiSE), pp. 50-53, October 2016.
  9. P. Bihler, P. Imhoff, and A.B. Cremers, "SmartGuide-A Smartphone Museum Guide with Ultrasound Control," Procedia Computer Science, Vol. 5, pp. 586-592, 2011. https://doi.org/10.1016/j.procs.2011.07.076
  10. M.B. Chung, and I.J. Ko, "Data-sharing Method for Multi-smart Devices at Close Range," Mobile Information Systems, 2015.
  11. M.B. Chung, "Effective near Advertisement Transmi ssion Method for Smart-devices using Inaudible High-frequencies," Multimedia Tools and Applications, Vol. 75, No. 10, pp. 5871-5886, 2016. https://doi.org/10.1007/s11042-015-2553-1
  12. J.B. Kim, J.E. Song, and M.K. Lee, "Authentication of a Smart Phone User using Audio Frequency Analysis," Journal of Korea Institute of Information Security and Cryptology, Vol. 22, No. 2, pp. 327-336, April 2012.