Road Network Equilibrium Analysis Based on Section Importance and Gini Coefficient

  • Fei Su
  • Xiaofang ZouEmail author
  • Yong Qin
  • Shaoyi She
  • Hang Su
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 617)


Traffic flow on road network has a character of disequilibrium under the road network structure, traffic flow distribution and so on. In order to quantify its imbalance, taking section importance as the index, the model for road network equilibrium analysis is proposed based on the Gini coefficient. First, considering the road network structure, traffic flow distribution and the influence between sections, the section importance measurement based on space-time influence and space-time distribution is constructed to reflect the critical level of sections in the road network. Second, the road network equilibrium is discussed through Gini coefficient and Lorenz curve. Finally, the proposed model is applied in a subset of Beijing’s road network, and the results show that the model is simple and flexible to evaluate road network equilibrium in different dimensions. It has great significance for mastering the distribution law of traffic flow, optimizing road network structure, adjusting traffic capacity allocation and improving the efficiency of road network resources.


Traffic flow Road network equilibrium Space-time influence Space-time distribution Section importance 



This work was supported in part by the National Key Research and Development Program of China (Grant No. 2017YFC0803900).

Declaration of Conflicting Interests

The authors declare that there is no conflict of interest regarding the publication of this article.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Fei Su
    • 1
    • 2
    • 3
  • Xiaofang Zou
    • 4
    Email author
  • Yong Qin
    • 3
  • Shaoyi She
    • 1
    • 2
  • Hang Su
    • 1
    • 2
  1. 1.China Transport Telecommunications & Information CenterBeijingPeople’s Republic of China
  2. 2.National Engineering Laboratory of Transportation Safety & Emergency InformaticsBeijingPeople’s Republic of China
  3. 3.School of Traffic and TransportationBeijing Jiaotong UniversityBeijingPeople’s Republic of China
  4. 4.China Merchants New Intelligence Technology Co., LtdBeijingPeople’s Republic of China

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