Advertisement

The Edge Importance Evaluation of Compound Network Formed by Comprehensive Transportation Network

  • Shuyun Niu
  • Jian GaoEmail author
  • Honghai Li
Conference paper
  • 6 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 617)

Abstract

On the basis of complex network theory, the edge importance evaluation method of compound network formed by comprehensive transportation network is studied. First, combining the characteristic of comprehensive transportation network, the different network topology extraction methods are analyzed. Then the extraction method of compound network topology is determined, and the compound network of comprehensive transportation network is proposed. Second, considering different transportation ways’ factors of network size, running speed and turnover volume of passenger and goods etc., the weight computation formula of every sub-network topology edge is constructed. Third, dual weighted node degree and weighted node betweenness are chosen as evaluation index which are used to evaluate the edge importance of compound network. Finally, Jing-Jin-Ji region comprehensive transportation network is chosen as empirical study. The result proves that the method proposed in this paper is feasible and effective, and the assessment results are in line with the actual situation.

Keywords

Comprehensive transportation network Compound network Dual weighted node degree Weighted edge betweenness Edge importance 

Notes

Acknowledgements

The authors would like to thank the Research Institute of Highway Ministry of Transport by the fundamental research project of “Research on the Development Roadmap of China Intelligent and Network Transportation System” (No. 2017-9075), and the authors acknowledge the contributions of the team members.

References

  1. 1.
    Lewis TG (2011) Network science theory and applications. China Machine PressGoogle Scholar
  2. 2.
    Deng Y, Yang Y, Ma R (2010) Highway network structure characteristics based on complex network theory. China J Highw Transp 23:98–104Google Scholar
  3. 3.
    Shen H (2012) An approach to analysis and evaluation of highway network structural properties for risk assessment and emergency management. Beijing Jiao Tong University Doctoral DissertionGoogle Scholar
  4. 4.
    Murray-Tuite PA (2006) Comparison of transportation network resilience under simulated system optimum and user equilibrium conditions. Presented at winter simulation conferenceGoogle Scholar
  5. 5.
    Heaslip K, Louisell WC, Collura J (2009) Quantitative evaluation of transportation resiliency for regional networks. In: 88th annual meeting of the transportation research board, Washington, DCGoogle Scholar
  6. 6.
    Heaslip K, Louisell WC, Collura J, Serulle NU (2010) A sketch level method for assessing transportation network resiliency to natural disasters and man-made events. In: 89th annual meeting of the transportation research board, Washington, DCGoogle Scholar
  7. 7.
    Soltani-Sobh A, Heaslip K, El Khoury J (2015) Estimation of road network resiliability on resiliency: an uncertain based model. Int J Disaster Risk Reduct 14:536–544CrossRefGoogle Scholar
  8. 8.
    Soltani-Sobh A, Heaslip K, Stevanovic A, El Khoury J, Song Z (2016) Evaluation of transportation network reliability during unexpected events with multiple uncertainties. Int J Disaster Risk Reduct 17:128–136CrossRefGoogle Scholar
  9. 9.
    Wei Z, Gan Y, Zhao P (2015) Several characteristic studies of city complex transportation network. Eng Inf Transport Syst 15(1):106–111Google Scholar
  10. 10.
    Shen L, Zhang D, Xiang Y, Wang Z, Zhang T (2017) The simulation study of invulnerability and cascading failure to complex network of city metro and bus. J Southwest Jiao Tong Univ 52(6):1–9Google Scholar
  11. 11.
    Li C, Wei L, Li FX, Zheng L (2017) The study of frangibility of urban agglomeration complex network based on attack strategy. Road Traffic Sci Technol 34(3):101–109Google Scholar
  12. 12.
    Xu F, Zhu J, Yang W (2013) Structure of complex network and analysis to network topology characteristic of high speed railway and civil aviation. Complicated Syst Complex Sci 10(3):1–11Google Scholar
  13. 13.
    Xu F, Zhu J, Miao J (2015) Robustness study of aeronautical railway complex network based on complicated network. Complicated Syst Complex Sci 12(1):40–45Google Scholar
  14. 14.
    The Transportation Industry Development Statistics Communiquéé of 2016Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.National ITS Research Center, Research Institute of Highway Ministry of TransportBeijingChina

Personalised recommendations