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Urban traffic from the perspective of dual graph

Author

Listed:
  • M.-B. Hu
  • R. Jiang
  • Y.-H. Wu
  • W.-X. Wang
  • Q.-S. Wu

Abstract

Urban traffic is modeled using a dual graph representation of the urban transport network, where roads are mapped to nodes and intersections are mapped to links. The proposed model considers both the navigation of the vehicles in the network and the motion of the vehicles along roads. The vehicle-holding ability of roads and the vehicle-turning ability at intersections are also incorporated. The overall handling ability of the system can be quantified by a phase transition from free flow to congestion. Simulations show that the system's handling ability greatly depends on the topology of the transportation network. In general, a well-planned grid can hold more vehicles, and its overall handling ability is much greater than that of a growing self-organized network. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2008

Suggested Citation

  • M.-B. Hu & R. Jiang & Y.-H. Wu & W.-X. Wang & Q.-S. Wu, 2008. "Urban traffic from the perspective of dual graph," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 63(1), pages 127-133, May.
    • Handle: RePEc:spr:eurphb:v:63:y:2008:i:1:p:127-133
    DOI: 10.1140/epjb/e2008-00219-5
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    Citations

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    Cited by:

    1. Wen, Tzai-Hung & Chin, Wei-Chien-Benny & Lai, Pei-Chun, 2017. "Understanding the topological characteristics and flow complexity of urban traffic congestion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 166-177.
    2. Jian Zhang & Shuai Ling & Ping Wang & Xiaoyang Hu & Lu Liu, 2021. "Method for Fast Map Construction Based on GPS Data and Compressed Grid Algorithm," Land, MDPI, vol. 10(12), pages 1-17, December.
    3. Bono, Flavio & Gutiérrez, Eugenio & Poljansek, Karmen, 2010. "Road traffic: A case study of flow and path-dependency in weighted directed networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5287-5297.
    4. Feng, Huifang & Bai, Fengshan & Xu, Youji, 2019. "Identification of critical roads in urban transportation network based on GPS trajectory data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    5. Wu, Chao-Yun & Hu, Mao-Bin & Jiang, Rui & Hao, Qing-Yi, 2021. "Effects of road network structure on the performance of urban traffic systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    6. Rui Ding & Norsidah Ujang & Hussain Bin Hamid & Mohd Shahrudin Abd Manan & Rong Li & Safwan Subhi Mousa Albadareen & Ashkan Nochian & Jianjun Wu, 2019. "Application of Complex Networks Theory in Urban Traffic Network Researches," Networks and Spatial Economics, Springer, vol. 19(4), pages 1281-1317, December.

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