Table of Contents
ISRN Civil Engineering
Volume 2011, Article ID 282346, 7 pages
http://dx.doi.org/10.5402/2011/282346
Research Article

Effectiveness of Information from Vehicles beyond Nearest Vehicle Ahead for Traffic Flow

Graduate School of Information Science, Nagoya University, Nagoya 464-8601, Japan

Received 6 August 2011; Accepted 14 September 2011

Academic Editor: Y. Lai

Copyright © 2011 Hikaru Shimizu 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. R. E. Chandler, R. Herman, and E. W. Montroll, “Traffic dynamics; studies in car-following,” Operations Research, vol. 6, no. 2, pp. 165–184, 1958. View at Google Scholar
  2. D. C. Gazis, R. Herman, and R. B. Potts, “Car following theory of steady state traffic flow,” Operations Research, vol. 7, pp. 499–505, 1959. View at Google Scholar
  3. L. C. Edie, “Car-following and steady-state theory for noncongested traffic,” Operations Research, vol. 9, pp. 66–76, 1961. View at Google Scholar
  4. R. Herman and R. Rothery, “Microscopic and macroscopic aspects of single lane traffic flow,” Operations Research, vol. 6, pp. 74–93, 1962. View at Google Scholar
  5. G. F. Newell, “Nonlinear effects in the dynamics of car following,” Operations Research, vol. 9, no. 2, pp. 209–229, 1961. View at Google Scholar
  6. R. L. Bierley, “Investigation of an intervehicle spacing display,” Highway Research Record, vol. 25, pp. 58–75, 1963. View at Google Scholar
  7. M. Bando, K. Hasebe, K. Nakanishi, A. Nakayama, A. Shibata, and Y. Sugiyama, “Phenomenological study of dynamical model of traffic flow,” Journal of Physics I France, vol. 5, pp. 1389–1399, 1995. View at Google Scholar
  8. S. Bexelius, “An extended model for car-following,” Transportation Research, vol. 2, no. 1, pp. 13–21, 1968. View at Google Scholar · View at Scopus
  9. Y. Wakita, T. Iguchi, H. Shimizu, T. Tamaki, and E. Kita, “Comparison of zipper and non-zipper merging patterns near merging point of roads,” International Journal of Natural Computing Research, vol. 1, no. 3, pp. 19–29, 2010. View at Google Scholar
  10. S. Yukawa and M. Kikuchi, “Coupled-map modeling of one-dimensional traffic flow,” Journal of the Physical Society of Japan, vol. 64, no. 1, pp. 35–38, 1995. View at Google Scholar · View at Scopus
  11. Y. Sugiyama, “Optimal velocity model for traffic flow,” Computer Physics Communications, vol. 121, pp. 399–401, 1999. View at Publisher · View at Google Scholar · View at Scopus
  12. T. Tamaki, S. Yasue, and E. Kita, “Traffic flow simulation using cellular automata,” in Proceedings of Civil and Structural Engineering Computing, Civil-Comp Press, 2003.
  13. T. Tamaki and E. Kita, “Urban city traffic simulation based on stochastic velocity model,” in Proceedings of the 10th International Conference on Civil, Structural and Environmental Engineering Computing, pp. 215–216, Civil-Comp Press, 2005.
  14. Y. Wakita, T. Iguchi, H. Shimizu, T. Tamaki, and E. Kita, “Cellular automata simulation of traffic jams at the merging point of roads,” in Proceedings of the 1st International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, B. H. V. Topping and Y. Tsompanakis, Eds., Stirlingshire, UK, 2009.
  15. S. Wolfram, Cellular Automata and Complexity, Adison-Wesley, 1st edition, 1994.
  16. K. Nagel and M. Schreckenberg, “Cellular automaton model for freeway traffic,” Journal of Physics I France, vol. 2, pp. 2221–2229, 1992. View at Google Scholar
  17. T. Tamaki, S. Yasue, and E. Kita, “City traffic simulation using cellular automata with stochastic velocity model,” in Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA '04), vol. 12, pp. 440–441, 2004.