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Transportation dynamics on networks of heterogeneous mobile agents

Author

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  • Su, Zhu
  • Liu, Sannyuya
  • Deng, Weibing
  • Li, Wei
  • Cai, Xu

Abstract

Based on transportation networks of mobile agents, this paper discusses the condition under which the communication radii of mobile agents obey the power-law distribution. The analysis of network structure indicates that out-degrees obey a power-law distribution, while in-degrees follow a Poisson distribution. Simulation results reveal that: (i) there exists a critical value of package generate rate Pc, which defines the free-flow state and congested state. (ii) In the free-flow regime, the average traveling time T is small and independent of the packet generation rate P, but the average path length L increases with the growth of P and is related to a traffic awareness parameter h. (iii) The larger the heterogeneous exponent α of the communication radii is, the lower the transport efficiency of the network would be. (iv) There exists an optimal traffic awareness parameter h that maximizes the critical value Pc. (v) The critical value Pc decreases with the heterogeneous exponent α, increases with the network size N, and decreases with the speed v until v reaches an appropriate value.

Suggested Citation

  • Su, Zhu & Liu, Sannyuya & Deng, Weibing & Li, Wei & Cai, Xu, 2019. "Transportation dynamics on networks of heterogeneous mobile agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1379-1386.
    • Handle: RePEc:eee:phsmap:v:523:y:2019:i:c:p:1379-1386
    DOI: 10.1016/j.physa.2019.04.062
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    References listed on IDEAS

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    1. Pu, Cunlai & Li, Siyuan & Yang, XianXia & Xu, Zhongqi & Ji, Zexuan & Yang, Jian, 2016. "Traffic-driven SIR epidemic spreading in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 446(C), pages 129-137.
    2. Jinlong Ma & Weizhan Han & Qing Guo & Zhenyong Wang & Shuai Zhang, 2016. "A link-adding strategy for transport efficiency of complex networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(05), pages 1-12, May.
    3. Yang, Han-Xin & Tang, Ming, 2014. "Adaptive routing strategy on networks of mobile nodes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 1-7.
    4. Yang, Han-Xin & Tang, Ming & Wang, Zhen, 2018. "Suppressing epidemic spreading by risk-averse migration in dynamical networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 347-352.
    5. Tan, Fei & Xia, Yongxiang, 2013. "Hybrid routing on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 4146-4153.
    6. C.-Y. Yin & B.-H. Wang & W.-X. Wang & G. Yan & H.-J. Yang, 2006. "Traffic dynamics based on an efficient routing strategy on scale free networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 49(2), pages 205-211, January.
    7. Jiang, Zhong-Yuan & Liang, Man-Gui, 2013. "Incremental routing strategy on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1894-1901.
    8. Yang, Han-Xin & Wang, Bing-Hong, 2016. "Immunization of traffic-driven epidemic spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 86-90.
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    Cited by:

    1. Wang, Sicheng & Noland, Robert B., 2021. "What is the elasticity of sharing a ridesourcing trip?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 284-305.

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