Table of Contents Author Guidelines Submit a Manuscript
Journal of Applied Mathematics
Volume 2014 (2014), Article ID 986546, 9 pages
http://dx.doi.org/10.1155/2014/986546
Research Article

Model Passengers’ Travel Time for Conventional Bus Stop

1Jiangsu Key Laboratory of Urban ITS, Southeast University, Si Pai Lou No. 2, Nanjing 210096, China
2Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Si Pai Lou No. 2, Nanjing 210096, China

Received 12 November 2013; Revised 24 February 2014; Accepted 16 March 2014; Published 8 April 2014

Academic Editor: Tin-Tai Chow

Copyright © 2014 Guangzhao Xin and Wei Wang. 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. Federal Transit Administration, “Guidelines for the location and design of bus stops,” Transit Cooperative Research Program 19, Transportation Research Board, Washington, DC, USA, 1996. View at Google Scholar
  2. E. Yetiskul and M. Senbil, “Public bus transit travel-time variability in Ankara (Turkey),” Transport Policy, vol. 23, pp. 50–59, 2012. View at Google Scholar
  3. B. Yu, W. H. K. Lam, and M. L. Tam, “Bus arrival time prediction at bus stop with multiple routes,” Transportation Research C: Emerging Technologies, vol. 19, no. 6, pp. 1157–1170, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. M. D. Abkowitz and I. Engelstein, “Factors affecting running time on transit routes,” Transportation Research A: General, vol. 17, no. 2, pp. 107–113, 1983. View at Google Scholar · View at Scopus
  5. Z. Y. Liu, Y. D. Yan, X. B. Qu, and Y. Zhang, “Bus stop-skipping scheme with random travel time,” Transportation Research C, vol. 35, pp. 46–56, 2013. View at Google Scholar
  6. P. R. Tétreault and A. M. El-Geneidy, “Estimating bus run times for new limited-stop service using archived AVL and APC data,” Transportation Research A: Policy and Practice, vol. 44, no. 6, pp. 390–402, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. E. I. Diab and A. M. El-Geneidy, “Understanding the impacts of a combination of service improvement strategies on bus running time and passenger's perception,” Transportation Research A: Policy and Practice, vol. 46, no. 3, pp. 614–625, 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. R. P. Guenthner and K. Hamat, “Transit dwell time under complex fare structure,” Journal of Transportation Engineering, vol. 114, no. 3, pp. 367–379, 1988. View at Google Scholar · View at Scopus
  9. J. C. Levine and G.-W. Torng, “Dwell-time effects of low-floor bus design,” Journal of Transportation Engineering, vol. 120, no. 6, pp. 914–929, 1994. View at Google Scholar · View at Scopus
  10. P. H. J. Marguier and A. Ceder, “Passenger waiting strategies for overlapping bus routes,” Transportation Science, vol. 18, no. 3, pp. 207–230, 1984. View at Google Scholar · View at Scopus
  11. S. K. J. Chang and C.-L. Hsu, “Modeling passenger waiting time for intermodal transit stations,” Transportation Research Record, vol. 1753, pp. 69–75, 2001. View at Publisher · View at Google Scholar · View at Scopus
  12. N. Ohmori, T. Hirano, N. Harata, and K. Ohta, “Passengers' waiting behavior at bus stops,” in Traffic and Transportation Studies: Proceedings of the 4th International Conference on Traffic and Transportation Studies (ICTTS '04), pp. 157–164, August 2004. View at Scopus
  13. R. Fernández, “Modelling public transport stops by microscopic simulation,” Transportation Research C: Emerging Technologies, vol. 18, no. 6, pp. 856–868, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. Q. Zhang and B. M. Han, “Simulation model of pedestrian interactive behavior,” Physica A: Statistical Mechanics and its Applications, vol. 390, no. 4, pp. 636–646, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. D. B. Hess, J. Brown, and D. Shoup, “Waiting for the bus,” Journal of Public Transportation, vol. 7, no. 4, pp. 67–84, 2004. View at Google Scholar
  16. I. Psarros, K. Kepaptsoglou, and M. G. Karlaftis, “An empirical investigation of passenger wait time perceptions using Hazard-Based duration models,” Journal of Public Transportation, vol. 14, no. 3, pp. 109–122, 2011. View at Google Scholar
  17. P. G. Furth and T. H. J. Muller, “Service reliability and hidden waiting time insights from automatic vehicle location data,” Transportation Research Record, vol. 1955, pp. 79–87, 2006. View at Google Scholar · View at Scopus
  18. F. McLeod, “Estimating bus passenger waiting times from incomplete bus arrivals data,” Journal of the Operational Research Society, vol. 58, no. 11, pp. 1518–1525, 2007. View at Publisher · View at Google Scholar · View at Scopus
  19. H. Kobayashi, B. L. Mark, and W. Turin, Probability, Random Processes, and Statistical Analysis, Cambridge University Press, Cambridge, New York, NY, USA, 2012. View at MathSciNet
  20. N. Tian and Z. G. Zhang, Vacation Queueing Models Theory and Applications, Springer, Boston, Mass, USA, 2006. View at MathSciNet
  21. P. G. Furth and J. L. SanClemente, “Near side, far side, uphill, downhill: impact of bus stop location on bus delay,” Transportation Research Record, vol. 1971, pp. 66–73, 2006. View at Publisher · View at Google Scholar · View at Scopus
  22. National Research Council, Highway Capacity Manual, Transportation Research Board, Washington, DC, USA, 2000.
  23. H. Takagi, Queueing Analysis: Vacation and Priority Systems, North-Holland, Amsterdam, The Netherlands, 1993.
  24. Federal Transit Administration, “Transit capacity and quality of service manual,” Transit Cooperative Research Program Report 100, Transportation Research Board, Washington, DC, USA, 2003. View at Google Scholar
  25. W. H. Guo, M. J. Cassidy, V. V. Gayah, and Y. F. Ouyang, “Mitigating negative impacts of near-side bus stops on cars,” Transportation Research B, vol. 47, pp. 42–56, 2013. View at Google Scholar