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Bus stop setting problem based on cellular automaton traffic model

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Abstract

Nowadays, traffic jam becomes a big problem for cities with large population. Bus is a main component of public transportation, and then the design of bus stop position and size should improve efficiency of public transportation. This research focuses on a certain bus stop between two intersections. The target of this research is to work out a best plan for the bus stop type, position and size. To solve the problem of bus stop setting, a mixed traffic flow model including buses, cars and trucks is established by CA (cellular automaton) model. And then the best bus stop settings plans can be determined through the simulation with a traffic simulator.

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References

  1. Zhao X, Gao Z, Li K (2008) The capacity of two neighbor intersections considering the influence of the bus stop. Physica A 387(18):4649–4656

    Article  Google Scholar 

  2. JIA B, LI XG, Jiang R (2009) The influence of bus stop on the dynamics of traffic flow. Acta Phys Sin 58(10):6845–6851

    Google Scholar 

  3. Yu-Kun S, Xiao-Mei Z (2009) Combined bottleneck effect of on-ramp and bus stop in a cellular automaton model. Chin Phys B 18(12):5242

    Article  Google Scholar 

  4. Gu W, Cassidy MJ, Li Y (2014) Models of bus queuing at curbside stops. Transport Sci 49(2):204–212

    Article  Google Scholar 

  5. Nagel K, Schreckenberg M (1992) A cellular automaton model for freeway traffic. J Phys I (France) 2:2221–2229

    Article  Google Scholar 

  6. Biham O, Middleton AA, Levine DA (1992) Self-origination and a dynamical transition in traffic flow models. Phys Rev A 46:6124–6127

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by “National Natural Science Foundation of China (Grant No. 71461026)” and “12th Five Year Plan of Jilin Provincial Department of Education (2015)”.

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Authors and Affiliations

  1. YanBian University, Yanji City, China

    Chengyou Cui & Jinlan Quan

Authors
  1. Chengyou Cui
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  2. Jinlan Quan
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Correspondence to Chengyou Cui.

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Cite this article

Cui, C., Quan, J. Bus stop setting problem based on cellular automaton traffic model. Artif Life Robotics 24, 135–139 (2019). https://doi.org/10.1007/s10015-018-0470-x

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  • DOI: https://doi.org/10.1007/s10015-018-0470-x

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