Optimal Topology of Multilayer Urban Traffic Networks
Previous urban traffic network-based studies have been based mostly on single-layer networks. Based on their shortcomings, starting from the perspective of a multilayer urban traffic network, this paper takes the different anticongestion abilities and network characteristics of various network struc...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/4230981 |
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| _version_ | 1832553684334018560 |
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| author | Rui Ding Jian Yin Peng Dai Lu Jiao Rong Li Tongfei Li Jianjun Wu |
| author_facet | Rui Ding Jian Yin Peng Dai Lu Jiao Rong Li Tongfei Li Jianjun Wu |
| author_sort | Rui Ding |
| collection | DOAJ |
| description | Previous urban traffic network-based studies have been based mostly on single-layer networks. Based on their shortcomings, starting from the perspective of a multilayer urban traffic network, this paper takes the different anticongestion abilities and network characteristics of various network structures under the condition of traffic congestion as the research object. Then, a comparative experiment is performed via simulation, and the optimal multilayer urban traffic network topology is obtained under different conditions. It is found that these scale-free related multilayer networks have relatively strong ability to support more traffic flows and have higher anticongestion abilities, regardless of whether it is a lower-layer or upper-layer network. The research results are helpful to deepen our understanding of the characteristics of traffic network structures, help scholars further cognize the structural properties of multilayer urban traffic networks, practically help urban traffic network planners to further optimize the urban traffic network, and broaden the study of multilayer traffic networks. |
| format | Article |
| id | doaj-art-6a037800384c4e0ab81189f72fa1d1c7 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-6a037800384c4e0ab81189f72fa1d1c72025-02-03T05:53:30ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/42309814230981Optimal Topology of Multilayer Urban Traffic NetworksRui Ding0Jian Yin1Peng Dai2Lu Jiao3Rong Li4Tongfei Li5Jianjun Wu6College of Big Data Application and Economics, Guizhou University of Finance and Economics, 550025 Guiyang, ChinaWest China Modernization Research Center, Guizhou University of Finance and Economics, 550025 Guiyang, ChinaWest China Modernization Research Center, Guizhou University of Finance and Economics, 550025 Guiyang, ChinaWest China Modernization Research Center, Guizhou University of Finance and Economics, 550025 Guiyang, ChinaDepartment of Traffic Management, Jiangxi Police Institute, 330100 Nanchang, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, 100124 Beijing, ChinaState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, 100044 Beijing, ChinaPrevious urban traffic network-based studies have been based mostly on single-layer networks. Based on their shortcomings, starting from the perspective of a multilayer urban traffic network, this paper takes the different anticongestion abilities and network characteristics of various network structures under the condition of traffic congestion as the research object. Then, a comparative experiment is performed via simulation, and the optimal multilayer urban traffic network topology is obtained under different conditions. It is found that these scale-free related multilayer networks have relatively strong ability to support more traffic flows and have higher anticongestion abilities, regardless of whether it is a lower-layer or upper-layer network. The research results are helpful to deepen our understanding of the characteristics of traffic network structures, help scholars further cognize the structural properties of multilayer urban traffic networks, practically help urban traffic network planners to further optimize the urban traffic network, and broaden the study of multilayer traffic networks.http://dx.doi.org/10.1155/2019/4230981 |
| spellingShingle | Rui Ding Jian Yin Peng Dai Lu Jiao Rong Li Tongfei Li Jianjun Wu Optimal Topology of Multilayer Urban Traffic Networks Complexity |
| title | Optimal Topology of Multilayer Urban Traffic Networks |
| title_full | Optimal Topology of Multilayer Urban Traffic Networks |
| title_fullStr | Optimal Topology of Multilayer Urban Traffic Networks |
| title_full_unstemmed | Optimal Topology of Multilayer Urban Traffic Networks |
| title_short | Optimal Topology of Multilayer Urban Traffic Networks |
| title_sort | optimal topology of multilayer urban traffic networks |
| url | http://dx.doi.org/10.1155/2019/4230981 |
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