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A System for Real-Time Passenger Monitoring System for Bus Rapid Transit System

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Intelligent Information and Database Systems (ACIIDS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9012))

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Abstract

TransJakarta is a BRT-based mass transportation system operating in Jakarta, the capital of Indonesia. Currently, the system delivers rather low level of service; as a result, the number of passengers is rather low in comparison to that of the other BRT-based systems. In this work, we propose a design of the passenger counting system for BRT-based system, which is very important for the BRT fleet management to increase the system level of service. The counting system is established by deploying computer vision techniques. A few algorithms are evaluated and the Adaptive Median Filtering with the sampling rate of 13 produces the highest level of precision and recall.

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References

  1. Hartawan, T.: Macet terus, jakarta rugi rp 65 triliun per tahun (2013). http://www.tempo.co/read/news/2013/03/24/214468984/Macet-Terus-Jakarta-Rugi-Rp-65-Triliun-per-Tahun (retrieved on December 2013)

  2. Morichi, S.: Long-term strategy for transport system in asian megacities. Journal of the Eastern Asia Society for Transportation Studies 6, 1–22 (2005)

    Google Scholar 

  3. Campo, C.: Bus rapid transit: Theory and practice in the united states and abroad. Master’s thesis, School of civil and environmental engineering, Georgia Institute of Technology (2010)

    Google Scholar 

  4. Chandra, F.Y., Gunawan, F.E., Glann, G., Gunawan, A.A.: Improving the accuracy of real-time traffic data gathered by the floating car data method. In: The 2nd International Conference on Information and Communication Technology (ICoICT), Bandung, Indonesia (2014)

    Google Scholar 

  5. Gunawan, F.E.: Real-time traffic monitoring system. In: International Conference and Advanced Informatics: Concepts, Theory and Applications (ICAICTA), Bandung, Indonesia (2014)

    Google Scholar 

  6. Gunawan, F.E., Chandra, F.Y.: Optimal averaging time for predicting traffic velocity using floating car data technique for advanced traveler information system. Procedia - Social and Behavioral Sciences 138, 566–575 (2014)

    Article  Google Scholar 

  7. Gunawan, F.E., Chandra, F.Y.: Real-Time Traffic Monitoring System using Floating Car method. Lambert Academic Publishing (2014b)

    Google Scholar 

  8. Kang, H.-G., Kim, D.: Real-time multiple tracking using competitive condensation. Pattern Recognition 38, 1045–1058 (2005)

    Article  MathSciNet  Google Scholar 

  9. Wang, B., Chen, Z., Wang, J., Zhang, L.: A fast passenger detection algorithm based on head area characteristics. In: International Workshop on Information and Electronic Engineering (IWIEE), Harbin, China, pp. 184–188. Elseiver (2012)

    Google Scholar 

  10. Zhou, D.: Bus passenger recognition and track of video sequence. Journal of Multimedia 8, 262–269 (2013)

    Google Scholar 

  11. Haritaoglu, I., Davis, L.: W4: Real-time surveillance of people and their activities. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 809–830 (2000)

    Article  Google Scholar 

  12. Saipullah, K., Anuar, A., Ismail, N., Soo, Y.: Real-time video processing using native programming on android platform. In: IEEE 8th International Colloquium on Signal Processing and Its Applications (2012)

    Google Scholar 

  13. Hofmann, M., Tiefenbacher, P., Rigoll, G.: Background segmentation with feedback: The pixel-based adaptive segmenter. In: 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 38–43 (2012)

    Google Scholar 

  14. Godbehere, A., Matsukawa, A., Goldberg, K.: Visual tracking of human visitors under variable-lighting conditions for a responsive audio art installation. In: American Control Conference (ACC), 4305–4312 (2012)

    Google Scholar 

  15. Parks, D., Fels, S.: Evaluation of background subtraction algorithms with post-processing. In: IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance 2008, AVSS 2008, pp. 192–199 (2008)

    Google Scholar 

  16. Weinstock, A., Hook, W., Replogle, M., Cruz, R.: Recapturing global leadership in bus rapid transit: A survey of select u.s. cities. Technical report, Institute for Transportation and Development Policy (2011)

    Google Scholar 

  17. McFarlane, N., Schofield, C.: Segmentation and tracking of piglets in images. Machine Vision and Applications 8(3), 187–193 (1995)

    Article  Google Scholar 

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Correspondence to Fergyanto E. Gunawan .

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Lumentut, J.S., Gunawan, F.E., Atmadja, W., Abbas, B.S. (2015). A System for Real-Time Passenger Monitoring System for Bus Rapid Transit System. In: Nguyen, N., Trawiński, B., Kosala, R. (eds) Intelligent Information and Database Systems. ACIIDS 2015. Lecture Notes in Computer Science(), vol 9012. Springer, Cham. https://doi.org/10.1007/978-3-319-15705-4_39

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  • DOI: https://doi.org/10.1007/978-3-319-15705-4_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15704-7

  • Online ISBN: 978-3-319-15705-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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