Robustness analysis of highway network based on complex network

Authors

  • Yimeng Fang

DOI:

https://doi.org/10.54097/hset.v42i.7108

Keywords:

Complex network, Highway network, Robustness, Topology.

Abstract

Taking Chongqing, Hunan, Shandong, Shaanxi and Sichuan as examples, this paper conducts a comparative study on the robustness of their highway networks, which is helpful for the subsequent construction of China's highway networks. The topology structure of highway networks is studied by complex network theory. The degree distribution, average degree, average clustering coefficient, average path length, network diameter and other parameters of the network were calculated, and the robustness of the highway network in five provinces and cities was compared from four aspects: connectivity, network efficiency, turn rate and robustness r. The results show that Chongqing and Shaanxi have a good performance of highway network robustness, Shandong and Sichuan have a more balanced performance, and Hunan has a weak performance. Enhance network robustness by placing route planning directions in place with fewer route options to provide drivers with more route options.

Downloads

Download data is not yet available.

References

JIANG Bin. A topological pattern of urban street networks: Universality and peculiarity [J]. Physica A: Statistical Mechanics and its Applications, 2007, 384(2): 646-655.

Li Jin, Ma Junhai. Research on the complexity of urban subway network [J]. Journal of Xidian University (Social Science Edition), 2009, 19(2): 51-55.

Gao Tianzhi, Chen Kuanmin, Li Fenglan. Topological structure analysis of urban rail network [J]. Journal of Chang 'an University (Natural Science Edition), 2018, 38(3): 97-106.

Feng Chun, Zhu Qian, Yu Bao.Robustness Simulation of urban Rail Transit Network [J]. Computer Simulation, 2018, 35(10): 182-186.

Gan Junjie, Nie Guihua, Xu Di. Research on complex characteristics and robustness of Wuhan Metro Network [J]. Safety and Environmental Engineering, 2018, 25(6): 120-126.

Sun Junyan, Niu Yaru, Wu Bingying, et al. Network characteristics and robustness analysis of Xi 'an Public Transportation System [J]. Journal of Overseas Chinese University (Natural Science Edition), 2019, 40(2): 148-155.

Wang Xiaofan, Li Xiang, Chen Guanrong. Network Sicence: An Introduction [M]. Beijing: Higher Education Press, 2012.4.

Lai Liping. Evaluation Index of Subway network Robustness [J]. Journal of Changchun University, 2018, 39(6): 568-572.

Cai Hui. Characteristic analysis of subway network based on complex network theory [J]. Communication Design and Application, 2019:16-17.

Lai Liping. Research on Subway Network Characteristics Based on Complex Network Theory [J]. Journal of Harp Normal University (Natural Science), 2016, 32(6): 30-33.

Downloads

Published

07-04-2023

How to Cite

Fang, Y. (2023). Robustness analysis of highway network based on complex network. Highlights in Science, Engineering and Technology, 42, 291-297. https://doi.org/10.54097/hset.v42i.7108