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Critical Section Identification in Road Traffic Network Based on Spatial and Temporal Features of Traffic Flow

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

Abstract

The capacity of critical section is one of the important reasons for leading to urban road traffic congestion. The identification of critical section has great significance to alleviate traffic congestion, and can provide support for traffic planning, network transformation, residents’ travel plans and so on. Based on the spatial and temporal features of traffic flow, the critical section is defined as the one which has more contribution to the overall network and has greater influence on other sections in this paper. In the section importance measurement framework, space-time distribution is used to explain the contribution of one section to the network, space-time influence is measured to describe its influence on other sections, and the critical section is given by the ranking of section importance. At last, the proposed model is applied in a subset of Beijing’s road network, and the results show that the model is practical and feasible, and can identify critical section in road traffic network effectively.

Keywords

Critical section Road traffic network Space-time influence Space-time distribution Section importance 

Notes

Declaration of Conflicting Interests

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

Acknowledgements

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

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Fei Su
    • 1
    • 2
    • 3
    Email author
  • Xiaofang Zou
    • 4
  • 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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