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Journal of Advanced Transportation
Volume 2017, Article ID 6374858, 10 pages
https://doi.org/10.1155/2017/6374858
Research Article

Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data

1Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China
2School of Automotive Studies, Clean Energy of Automotive Engineering Research Center, Tongji University, Shanghai 201804, China

Correspondence should be addressed to Yuchuan Du; nc.ude.ijgnot@udcy

Received 2 February 2017; Revised 7 April 2017; Accepted 23 April 2017; Published 23 May 2017

Academic Editor: Wai Yuen Szeto

Copyright © 2017 Yuxiong Ji et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Ceder, “Bus frequency determination using passenger count data,” Transportation Research Part A-Policy and Practice, vol. 18, no. 5-6, pp. 439–453, 1984. View at Publisher · View at Google Scholar · View at Scopus
  2. P. G. Furth et al., “Using archived Avl-Apc data to improve transit performance and management,” in Transit Cooperative Research Program 113, 2006. View at Google Scholar
  3. C. E. Cortés, S. Jara-Díaz, and A. Tirachini, “Integrating short turning and deadheading in the optimization of transit services,” Transportation Research Part A: Policy and Practice, vol. 45, no. 5, pp. 419–434, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. A. Tirachini, C. E. Cortés, and S. R. Jara-Díaz, “Optimal design and benefits of a short turning strategy for a bus corridor,” Transportation, vol. 38, no. 1, pp. 169–189, 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. D. Navick and P. Furth, “Estimating passenger miles, origin-destination patterns, and loads with location-stamped farebox data,” Transportation Research Record: Journal of the Transportation Research Board, no. 1799, pp. 107–113, 2002. View at Google Scholar
  6. P. G. Furth and D. S. Navick, “Bus route O-D matrix generation: relationship between biproportional and recursive methods,” Transportation Research Record: Journal of the Transportation Research Board, no. 1338, pp. 14–21, 1992. View at Google Scholar
  7. Y. Li and M. J. Cassidy, “A generalized and efficient algorithm for estimating transit route ODs from passenger counts,” Transportation Research Part B: Methodological, vol. 41, no. 1, pp. 114–125, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. Y. Ji, R. G. Mishalani, and M. R. McCord, “Estimating transit route OD flow matrices from APC data on multiple bus trips using the IPF method with an iteratively improved base: method and empirical evaluation,” Journal of Transportation Engineering, vol. 140, no. 5, Article ID 04014008, pp. 1–8, 2014. View at Publisher · View at Google Scholar · View at Scopus
  9. Y. Ji, R. G. Mishalani, and M. R. McCord, “Transit passenger origin-destination flow estimation: efficiently combining onboard survey and large automatic passenger count datasets,” Transportation Research Part C: Emerging Technologies, vol. 58, pp. 178–192, 2015. View at Publisher · View at Google Scholar · View at Scopus
  10. Y. Ji, Q. You, S. Jiang, and H. M. Zhang, “Statistical inference on transit route-level origin-destination flows using automatic passenger counter data,” Journal of Advanced Transportation, vol. 49, no. 6, pp. 724–737, 2015. View at Publisher · View at Google Scholar · View at Scopus
  11. J. Zhao, A. Rahbee, and N. H. M. Wilson, “Estimating a rail passenger trip origin-destination matrix using automatic data collection systems,” Computer-Aided Civil and Infrastructure Engineering, vol. 22, no. 5, pp. 376–387, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. J. Barry, R. Freimer, and H. Slavin, “Use of entry-only automatic fare collection data to estimate linked transit trips in New York city,” Transportation Research Record, no. 2112, pp. 53–61, 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. J. J. Barry et al., “Origin and destination estimation in New York city with automated fare system data,” Transportation Research Record, no. 1817, pp. 183–187, 2002. View at Google Scholar · View at Scopus
  14. D. Uniman, J. Attanucci, R. Mishalani, and N. Wilson, “Service reliability measurement using automated fare card data: application to the London underground,” Transportation Research Record, no. 2143, pp. 92–99, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. W. Wang, J. P. Attanucci, and N. H. M. Wilson, “Bus passenger origin-destination estimation and related analyses using automated data collection systems,” Journal of Public Transportation, vol. 14, no. 4, pp. 131–150, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. P. G. Furth, “Integration of fareboxes with other electronic devices on transit vehicles,” in Transportation Research Record, pp. 21–27, 1996. View at Google Scholar · View at Scopus
  17. A. Lu and A. Reddy, “Algorithm to measure daily bus passenger miles using electronic farebox data for national transit database section 15 reporting,” Transportation Research Record, no. 2216, pp. 19–32, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. Comprehensive Transportation Annual Report of Shanghai, 2015.
  19. M. Dunlap, Z. Li, K. Henrickson, and Y. Wang, “Estimation of origin and destination information from bluetooth and Wi-Fi sensing for transit,” Transportation Research Record, no. 2595, pp. 11–17, 2016. View at Publisher · View at Google Scholar
  20. R. G. Mishalani, M. R. McCord, and T. Reinhold, “Use of mobile device wireless signals to determine transit route-level passenger origin–destination flows,” Transportation Research Record, no. 2544, pp. 123–130, 2016. View at Publisher · View at Google Scholar
  21. I. W. Group, “Ieee standard for information technology–telecommunications and information exchange between systems–local and metropolitan area networks–specific requirements–Part 11: Wireless Lan Medium Access Control (Mac) and Physical Layer (Phy) Specifications Amendment 6: Wireless Access in Vehicular Environments,” IEEE Std, pp. 802–11p, 2010. View at Google Scholar
  22. Apple Inc., http://devstreaming.apple.com/videos/wwdc/2014/715xx4loqo5can9/715/715_user_privacy_in_ios_and_os_x.pdf.
  23. S. Coman, Say Zebra, LA Theatre Works, 2012.
  24. Y. Ji, R. Mishalani, M. McCord, and P. Goel, “Identifying homogeneous periods in bus route origin-destination passenger flow patterns from automatic passenger counter data,” Transportation Research Record, no. 2216, pp. 42–50, 2011. View at Publisher · View at Google Scholar · View at Scopus
  25. M. L. Hazelton, “Statistical inference for transit system origin-destination matrices,” Technometrics, vol. 52, no. 2, pp. 221–230, 2010. View at Publisher · View at Google Scholar · View at MathSciNet
  26. M. Ben-Akiva, P. Macke, and P. Hsu, “Alternative methods to estimate route-level trip tables and expand on-board surveys,” Transportation Research Record, no. 1037, pp. 1–11, 1985. View at Google Scholar · View at Scopus
  27. A. Gelman et al., Bayesian Data Analysis, Chapman & amp, Boca Raton, Florida, 2nd edition, 2004, edition, Chapman Hall/CRC.
  28. J. Berger, Statistical Decision Theory and Bayesian Analysis, Springer-Verlag, New York, USA, 1985.
  29. G. Marsaglia and J. C. Marsaglia, “A new derivation of Stirling's approximation to N,” American Mathematical Monthly, pp. 826–829, 1990. View at Google Scholar
  30. M. Hollander and D. A. Wolfe, Nonparametric Statistical Methods, John Wiley & Amp; Sons, Inc: Danvers, MA, 2 edition, 1999.
  31. A. Karlsson, Mathematical Statistics and Data Analysis, vol. 22, 2007. View at Publisher · View at Google Scholar
  32. Y. Ji, X. Yang, and Y. Du, “Optimal design of a short-turning strategy considering seat availability,” Journal of Advanced Transportation, vol. 50, no. 7, pp. 1554–1571, 2016. View at Publisher · View at Google Scholar