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Utility analysis of zipper-merging for improvement of traffic jam by CA simulation

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Języki publikacji
EN
Abstrakty
EN
When slow vehicles go at the merging point of roads from a branch road to a main road, a traffic jam occurs there. Some researchers pointed out that the zipper merging of the vehicles is effective for reducing the traffic jam near the merging point of roads. The aim of this study is to discuss the effectiveness of the zipper merging by using cellular automata simulation. The vehicle behavior is modeled according to the single and multiple vehicles following models. While, in the single vehicle following model, the acceleration rate depends ou the velocity difference with the nearest vehicle ahead alone, the multiple vehicles following model controls the acceleration rate according to the velocity differences with three vehicles ahead. The results show that, in the case of the single vehicle following model, the maximum speed reduction is about 40% in case of no-zipper merging and 20% in case of zipper merging. In addition to that, the multiple vehicle following model can recover the velocity sooner than the single vehicle following model. Therefore, we can conclude that the combinational use of the zipper merging and the multiple vehicles following model can reduce successfully the traffic jam near the merging point of roads.
Rocznik
Strony
387--401
Opis fizyczny
Bibliogr. 8 poz., wykr.
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autor
autor
autor
autor
Bibliografia
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  • 2. K. NAGEL and M. SCHRECKENBERG, Cellular automaton model for freeway traffic. Journal of Physics I Prance, 2, 2221-2229, 1992.
  • 3. 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 Prance, 5, 1389-1399, 1995.
  • 4. P. BERG and A. WOODS, Relating car-following and continuum models of road traffic, [in:] Traffic and Granular Flow’99 - Social, Traffic and Granular Dynamics, D. HELBING, H. J. HERRMANN, M. SCHRECKENBERG and D. E. WOLF [Eds.], Springer Verlag, 389-394, 1999.
  • 5. M. FUKUI and Y. ISHIBASHI, Traffic flow in ID cellular automaton model including cars moving with high speed, Journal of the Physical Society of Japan, 65, 6, 1868-1870, 1996.
  • 6. S. BEXELIUS, An extended model for car-following, Transportation Research, 2, 13-21, 1968.
  • 7. T. TAMAKI and E. KITA, Urban city traffic simulation based on stochastic velocity model, Proceedings of The Tenth International Conference on Civil, Structural and Environmental Engineering Computing. 215-216, 2005.
  • 8. T. TAMAKI, S. YASUE and E. KITA, Traffic flow simulation using cellular automata, Proceedings of Civil and Structural Engineering Computing, CD-ROM, 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0064-0006
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