Road Network Equilibrium Analysis Based on Section Importance and Gini Coefficient

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.

• Record URL:
  https://doi.org/10.1007/978-981-15-0644-4
• Record URL:
  https://link.springer.com/chapter/10.1007/978-981-15-0644-4_86
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9789811506437
• Supplemental Notes:
  • © Springer Nature Singapore Pte Ltd. 2020.
• Corporate Authors:

  Springer Singapore

  152 Beach Road
  Singapore,     189721
• Authors:
  • Su, Fei
  • Zou, Xiaofang
  • Qin, Yong
  • She, Shaoyi
  • Su, Hang
• Conference:
  • 9th International Conference on Green Intelligent Transportation Systems and Safety
  • Location: Guilin , China
  • Date: 2018-7-1 to 2018-7-3
• Publication Date: 2020-3

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1119-1134
• Monograph Title: Green, Smart and Connected Transportation Systems: Proceedings of the 9th International Conference on Green Intelligent Transportation Systems and Safety
• Serial:
  • Lecture Notes in Electrical Engineering
  • Volume: 617
  • Publisher: Springer
  • ISSN: 1876-1100

Subject/Index Terms

• TRT Terms: Networks; Roads; Traffic equilibrium; Traffic flow
• Geographic Terms: Beijing (China)
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01898511
• Record Type: Publication
• ISBN: 9789811506437
• Files: TRIS
• Created Date: Nov 9 2023 9:21AM