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A Cellular Automata Traffic Flow Model considering Bus Lane Changing Behavior with Scheduling Parameters

Author

Listed:
  • Zun-dong Zhang
  • Yan-fang Yang
  • Wenjiao Qi
  • Abderrahim Chariete
  • Xing-xiang Lin

Abstract

According to different driving behavioral characteristics of bus drivers, a cellular automata traffic model considering the bus lane changing behavior with scheduling parameters is proposed in this paper. Traffic bottleneck problems caused by bus stops are simulated in multiple lanes roads with no-bay bus stations. With the mixed traffic flow composed of different bus arrival rate, flow-density graph, density distribution graph, and temporal-spatial graph are presented. Furthermore, the mixed traffic flow characteristics are analyzed. Numerical experiment results show that the proposed model can generate a variety of complicated realistic phenomena in the traffic system with bus stops and provide theoretical basis for better using of traffic flow model.

Suggested Citation

  • Zun-dong Zhang & Yan-fang Yang & Wenjiao Qi & Abderrahim Chariete & Xing-xiang Lin, 2015. "A Cellular Automata Traffic Flow Model considering Bus Lane Changing Behavior with Scheduling Parameters," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-7, April.
    • Handle: RePEc:hin:jnddns:348582
    DOI: 10.1155/2015/348582
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    Cited by:

    1. Yunqiang Xue & Lin Cheng & Meng Zhong & Xiaokang Sun, 2023. "Evaluation of Bus Lane Layouts Based on a Bi-Level Programming Model—Using Part of the Qingshan Lake District of Nanchang City, China, as an Example," Sustainability, MDPI, vol. 15(11), pages 1-13, May.

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