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Piecewise Function Feedback Strategy In Intelligent Traffic Systems With A Speed Limit Bottleneck

Author

Listed:
  • BOKUI CHEN

    (Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China)

  • XIAOYAN SUN

    (College of Physics and Electronic Engineering, Nanning Normal University, Nanning 530001, China)

  • HUA WEI

    (Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China)

  • CHUANFEI DONG

    (Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, MI 48109, USA)

  • BINGHONG WANG

    (Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China;
    The Research Center for Complex System Science, University of Shanghai for Science and Technology and Shanghai, Academy of System Science, Shanghai 200093, China)

Abstract

The road capacity can be greatly improved if an appropriate and effective information feedback strategy is adopted in the traffic system. In this paper, a strategy called piecewise function feedback strategy (PFFS) is introduced and applied into an asymmetrical two-route scenario with a speed limit bottleneck in which the dynamic information can be generated and displayed on the information board to guide road users to make a choice. Meanwhile, the velocity-dependent randomization (VDR) mechanism is adopted which can better reflect the dynamic behavior of vehicles in the system than NS mechanism. Simulation results adopting PFFS have demonstrated high efficiency in controlling spatial distribution of traffic patterns compared with the previous strategies.

Suggested Citation

  • Bokui Chen & Xiaoyan Sun & Hua Wei & Chuanfei Dong & Binghong Wang, 2011. "Piecewise Function Feedback Strategy In Intelligent Traffic Systems With A Speed Limit Bottleneck," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 22(08), pages 849-860.
    • Handle: RePEc:wsi:ijmpcx:v:22:y:2011:i:08:n:s0129183111016658
    DOI: 10.1142/S0129183111016658
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    Citations

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    Cited by:

    1. Wu, Jinchao & Chen, Bokui & Zhang, Kai & Zhou, Jun & Miao, Lixin, 2018. "Ant pheromone route guidance strategy in intelligent transportation systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 591-603.
    2. Ding, Zhongjun & Chen, Bokui & Zhang, Lele & Jiang, Rui & Wu, Yao & Ding, Jianxun, 2019. "Segment travel time route guidance strategy in advanced traveler information systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    3. Cui, Nan & Chen, Bokui & Zhang, Kai & Zhang, Yi & Liu, Xiaotong & Zhou, Jun, 2019. "Effects of route guidance strategies on traffic emissions in intelligent transportation systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 32-44.

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