Calculation of Centrality in the Analysis of Congestion of City Roads on the Example of Petrozavodsk
-
Published:2024-02
Issue:2
Volume:85
Page:
-
ISSN:0005-1179
-
Container-title:Automation and Remote Control
-
language:
-
Short-container-title:ARC
Author:
,Nikitina N. N.,Ivashko E. E.,
Abstract
Centrality is a numerical measure that characterizes the structural properties of a graph. In the presented work, centrality is used to analyze the load of the graph of urban roads in the city of Petrozavodsk. In the paper, we describe the method used to construct the road graph, present a modified centrality measure that takes into account the features of the transport network and the distribution of passenger traffic, and demonstrate the results of numerical simulations. For the transport graph, betweenness centralities were calculated with and without regard to the distribution of passenger traffic; a connectivity analysis was performed to identify critical, overloaded and reserve roads, and the routes that make the greatest contribution to the centrality of the most loaded roads. The results show that centrality can be used for the analysis of the structural features of the graph of urban roads, modeling sustainability and planning the development of the transport network.
Publisher
The Russian Academy of Sciences
Reference41 articles.
1. 1. Bredikhin, S., Lyapunov, V.M., Shcherbakova, N.G., and Yurgenson, A.N., Centrality Parameters of the Nodes of a Scientific Publications Citation Network, Probl. Informatiki, 2016, vol. 1, no. 30, pp. 39-57. 2. 2. Nekraplonna, M. and Namiot, D., Metro Correspondence Matrix Analysis, International Journal of Open Information Technologies, 2019, vol. 7, no. 7, pp. 68-80. 3. 3. Williams, M.J. and Musolesi, M., Spatio-Temporal Networks: Reachability, Centrality and Robustness, Royal Society Open Science, 2016, vol. 3, no. 6, p. 160196. 4. 4. Bavelas, A., A Mathematical Model for Group Structures, Human Organization, 1948, vol. 7, no. 3, pp. 16-30. 5. 5. Freeman, L.C., A Set of Measures of Centrality Based on Betweenness, Sociometry, 1977, vol. 1, pp. 35-41.
|
|