|Table of Contents|

Complex network modeling and key node identification of highway traffic-energy coupling(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2024年5期
Page:
100-113
Research Field:
交通能源融合技术专题
Publishing date:

Info

Title:
Complex network modeling and key node identification of highway traffic-energy coupling
Author(s):
SHI Rui-feng1; 2;  LIN Feng1;  NING Jin1;  YE Yu-jiang1;  SUN Hao1;  JIA Li-min2; 3
(1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; 2. National Institute of Energy and Transportation Integration Development, North China Electric Power University, Beijing 102206, China; 3. State Key Laboratory of Rail Transit Control and Safety,Beijing Jiaotong University, Beijing 100044, China)
Keywords:
traffic engineering;  integration of energy and transportation;  coupled network modeling;  complex network theory;  node importance;  assessment indicator set;  subjective and objective empowerment
PACS:
U491.13
DOI:
10.19721/j.cnki.1671-8879.2024.05.002
Abstract:
The rapid development of highway transportation and energy systems increasingly strengthened the coupling between them. To study the coupling model and identify the key nodes within the systems, key elements such as service areas, bridges, tunnels, and toll stations in highways were first abstracted into nodes based on complex network theory, and models for the highway traffic network and the energy network were established. Secondly, considering the coupling mechanism between the highway traffic network and the energy network, the coupling model of the two networks was established using the correlation coefficient method and the correlation matrix method. Thirdly, an evaluation index system for the importance of nodes in the highway traffic network and the energy network was constructed. The importance evaluation results of the coupling nodes were obtained by using the subjective and objective weighting-TOPSIS method and the coupling scale between the two networks. Finally, the model was validated using a domestic highway network.The results show that when either the highway traffic network or the energy network is considered alone, the key nodes affecting the coupling nodes are not accurately identified. However, by using the coupling scale, the influence of both networks on the coupling nodes can be considered simultaneously, making the identification of key nodes more accurate. Compared to the traditional K-shell method for identifying key nodes, the key nodes selected based on the coupling model of the two networks are found to be more applicable to practical situations. The rationality of the model and the method for evaluating the importance of coupling nodes proposed in this paper is validated. This method can be used as a reference for quickly and effectively improving the reliability of the highway transportation-energy coupling network and constructing the core backbone network of the highway transportation-energy system.10 tabs, 11 figs, 36 refs.

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Last Update: 2024-10-20