Applying the Virtual Input-Output Method to the Identification of Key Nodes in Busy Traffic Network
How to identify the key nodes effectively in urban traffic networks to achieve the equitable resource allocation face to the complex traffic network? This issue needs to be solved in current traffic management. This study considered the urban traffic network topology and network traffic status, put...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/5559857 |
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| _version_ | 1832566484183810048 |
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| author | Fan Yang Fei Yan Chikun Zhang Xiaoying Tang Jianchang Li Xindan Zhang Yingxin Gan |
| author_facet | Fan Yang Fei Yan Chikun Zhang Xiaoying Tang Jianchang Li Xindan Zhang Yingxin Gan |
| author_sort | Fan Yang |
| collection | DOAJ |
| description | How to identify the key nodes effectively in urban traffic networks to achieve the equitable resource allocation face to the complex traffic network? This issue needs to be solved in current traffic management. This study considered the urban traffic network topology and network traffic status, put forward an improved model based on the economics of the input-output method by introducing a virtual node to the selected network set up with the flow of urban traffic network, sensor nodes by Leontief inverse matrix calculation coefficient to determine node importance, according to the node importance to deliberate attack traffic network to analyze its robustness, to test the accuracy and practicability of the method. The results show that this improved method adopted to measure the importance of traffic nodes from the global scope has the advantages of fast calculation and simple process and provides a more reliable basis for rational allocation of transport resources. |
| format | Article |
| id | doaj-art-6d639693b3594d60b77a66054f0c10cd |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-6d639693b3594d60b77a66054f0c10cd2025-02-03T01:03:58ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/55598575559857Applying the Virtual Input-Output Method to the Identification of Key Nodes in Busy Traffic NetworkFan Yang0Fei Yan1Chikun Zhang2Xiaoying Tang3Jianchang Li4Xindan Zhang5Yingxin Gan6School of Management, Xi’an Polytechnic University, Xi’an, Shaanxi 710048, ChinaSchool of Management, Xi’an Polytechnic University, Xi’an, Shaanxi 710048, ChinaDepartment of Architecture and Civil Engineering, City University of Hong Kong, Kowloon 999077, Hong KongDepartment of Engineering Management, School of Civil Engineering, Central South University, Changsha, Hunan 410075, ChinaDepartment of Financial Mathematics, School of Science, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, ChinaChang’an Dublin International College of Transportation at Chang’an University, Chang'an University, Xi’an, Shaanxi 710021, ChinaZhengping Road & Bridge Construction Co.Ltd.,, Xining, Qinghai 810008, ChinaHow to identify the key nodes effectively in urban traffic networks to achieve the equitable resource allocation face to the complex traffic network? This issue needs to be solved in current traffic management. This study considered the urban traffic network topology and network traffic status, put forward an improved model based on the economics of the input-output method by introducing a virtual node to the selected network set up with the flow of urban traffic network, sensor nodes by Leontief inverse matrix calculation coefficient to determine node importance, according to the node importance to deliberate attack traffic network to analyze its robustness, to test the accuracy and practicability of the method. The results show that this improved method adopted to measure the importance of traffic nodes from the global scope has the advantages of fast calculation and simple process and provides a more reliable basis for rational allocation of transport resources.http://dx.doi.org/10.1155/2021/5559857 |
| spellingShingle | Fan Yang Fei Yan Chikun Zhang Xiaoying Tang Jianchang Li Xindan Zhang Yingxin Gan Applying the Virtual Input-Output Method to the Identification of Key Nodes in Busy Traffic Network Complexity |
| title | Applying the Virtual Input-Output Method to the Identification of Key Nodes in Busy Traffic Network |
| title_full | Applying the Virtual Input-Output Method to the Identification of Key Nodes in Busy Traffic Network |
| title_fullStr | Applying the Virtual Input-Output Method to the Identification of Key Nodes in Busy Traffic Network |
| title_full_unstemmed | Applying the Virtual Input-Output Method to the Identification of Key Nodes in Busy Traffic Network |
| title_short | Applying the Virtual Input-Output Method to the Identification of Key Nodes in Busy Traffic Network |
| title_sort | applying the virtual input output method to the identification of key nodes in busy traffic network |
| url | http://dx.doi.org/10.1155/2021/5559857 |
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