A KIND OF COORDINATED EVOLUTION MEASUREMENT MODEL FOR TRAFFIC NETWORK BASED ON COMPLEXITY DEGREE
Coordinated evolution is a process with complexity, temporality, spatiality, and continuity. The existed methods cannot relevantly satisfy and measure the degree of coordinated evolution in real conditions. Aiming at solving the coordinated evolution problems for the urban traffic network, the infor...
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| Veröffentlicht in: | Transport (Vilnius, Lithuania) Lithuania), 2020-09, Vol.35 (4), p.389-400 |
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| creator | Hu, Qizhou Tan, Minjia |
| description | Coordinated evolution is a process with complexity, temporality, spatiality, and continuity.
The existed methods cannot relevantly satisfy and measure the degree of coordinated evolution in real conditions.
Aiming at solving the coordinated evolution problems for the urban traffic network, the information complexity must
be evaluated, this paper uses the multi-dimensional connection number for compressing the factors of traffic network.
Firstly, the basic characteristics of traffic network are analysed on the definition of traffic information complexity.
The traffic network measurement model is established based on the information entropy, and the coordinated evolution
rocess of the multi-layer urban traffic network is analysed for defining the ordered parameters of the traffic network.
Then the coordinated measurement model for the multi-layer traffic network is constructed by the ordered parameters.
In addition, we set up a coordinated evolution model according to the proposed estimation criteria of the ordered
parameters and the theory of the multi-dimensional connection numbers. The case analysis shows that the order degree
of Hangzhou traffic network is 0.7929, which approaches to 1 as while the comprehensive coordinated index of Hangzhou
multi-layer traffic network is 0.3323, which clearly and intuitively gives a measurement value for the multi-layer
urban traffic network. The result is also effectively verified the validity of the proposed models. |
| doi_str_mv | 10.3846/transport.2020.13626 |
| format | Article |
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The existed methods cannot relevantly satisfy and measure the degree of coordinated evolution in real conditions.
Aiming at solving the coordinated evolution problems for the urban traffic network, the information complexity must
be evaluated, this paper uses the multi-dimensional connection number for compressing the factors of traffic network.
Firstly, the basic characteristics of traffic network are analysed on the definition of traffic information complexity.
The traffic network measurement model is established based on the information entropy, and the coordinated evolution
rocess of the multi-layer urban traffic network is analysed for defining the ordered parameters of the traffic network.
Then the coordinated measurement model for the multi-layer traffic network is constructed by the ordered parameters.
In addition, we set up a coordinated evolution model according to the proposed estimation criteria of the ordered
parameters and the theory of the multi-dimensional connection numbers. The case analysis shows that the order degree
of Hangzhou traffic network is 0.7929, which approaches to 1 as while the comprehensive coordinated index of Hangzhou
multi-layer traffic network is 0.3323, which clearly and intuitively gives a measurement value for the multi-layer
urban traffic network. The result is also effectively verified the validity of the proposed models.</description><identifier>ISSN: 1648-4142</identifier><identifier>EISSN: 1648-3480</identifier><identifier>DOI: 10.3846/transport.2020.13626</identifier><language>eng</language><publisher>Vilnius: Vilnius Gediminas Technical University</publisher><subject>Complexity ; Compression tests ; Entropy (Information theory) ; Evolution ; Multilayers ; Parameter estimation ; Traffic information ; Traffic models</subject><ispartof>Transport (Vilnius, Lithuania), 2020-09, Vol.35 (4), p.389-400</ispartof><rights>2020. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c279t-9aa7aaa021594bf778134e71818aeef1c2c04fdc8e2aff2471c61992edc28cfd3</citedby><cites>FETCH-LOGICAL-c279t-9aa7aaa021594bf778134e71818aeef1c2c04fdc8e2aff2471c61992edc28cfd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,27903,27904</link.rule.ids></links><search><creatorcontrib>Hu, Qizhou</creatorcontrib><creatorcontrib>Tan, Minjia</creatorcontrib><title>A KIND OF COORDINATED EVOLUTION MEASUREMENT MODEL FOR TRAFFIC NETWORK BASED ON COMPLEXITY DEGREE</title><title>Transport (Vilnius, Lithuania)</title><description>Coordinated evolution is a process with complexity, temporality, spatiality, and continuity.
The existed methods cannot relevantly satisfy and measure the degree of coordinated evolution in real conditions.
Aiming at solving the coordinated evolution problems for the urban traffic network, the information complexity must
be evaluated, this paper uses the multi-dimensional connection number for compressing the factors of traffic network.
Firstly, the basic characteristics of traffic network are analysed on the definition of traffic information complexity.
The traffic network measurement model is established based on the information entropy, and the coordinated evolution
rocess of the multi-layer urban traffic network is analysed for defining the ordered parameters of the traffic network.
Then the coordinated measurement model for the multi-layer traffic network is constructed by the ordered parameters.
In addition, we set up a coordinated evolution model according to the proposed estimation criteria of the ordered
parameters and the theory of the multi-dimensional connection numbers. The case analysis shows that the order degree
of Hangzhou traffic network is 0.7929, which approaches to 1 as while the comprehensive coordinated index of Hangzhou
multi-layer traffic network is 0.3323, which clearly and intuitively gives a measurement value for the multi-layer
urban traffic network. The result is also effectively verified the validity of the proposed models.</description><subject>Complexity</subject><subject>Compression tests</subject><subject>Entropy (Information theory)</subject><subject>Evolution</subject><subject>Multilayers</subject><subject>Parameter estimation</subject><subject>Traffic information</subject><subject>Traffic models</subject><issn>1648-4142</issn><issn>1648-3480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNo9kM9PgzAYhhujiXP6H3ho4pnZlgLtEaFMMqCGMX-csHZt4qIyCzv438vc4ul7D8_7fskDwDVGM5_R8HZw6qvfdm6YEUTQDPshCU_ABIeUeT5l6PSYKabkHFz0_QahICCcTMBrDBd5lUKZwUTKOs2ruBEpFI-yWDW5rGAp4uWqFqWoGljKVBQwkzVs6jjL8gRWonmS9QLexcuxNeKJLB8K8Zw3LzAV81qIS3Bm1Udvro53ClaZaJJ7r5DzPIkLT5OIDx5XKlJKIYIDTt9sFDHsUxNhhpkyxmJNNKJ2rZkhylpCI6xDzDkxa02Ytmt_Cm4Ou1vXfe9MP7Sbbue-xpctoSFHPMBBOFL0QGnX9b0ztt2690_lflqM2r3L9t9lu3fZ_rn0fwE1GGJv</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Hu, Qizhou</creator><creator>Tan, Minjia</creator><general>Vilnius Gediminas Technical University</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TB</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L6V</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20200901</creationdate><title>A KIND OF COORDINATED EVOLUTION MEASUREMENT MODEL FOR TRAFFIC NETWORK BASED ON COMPLEXITY DEGREE</title><author>Hu, Qizhou ; 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The existed methods cannot relevantly satisfy and measure the degree of coordinated evolution in real conditions.
Aiming at solving the coordinated evolution problems for the urban traffic network, the information complexity must
be evaluated, this paper uses the multi-dimensional connection number for compressing the factors of traffic network.
Firstly, the basic characteristics of traffic network are analysed on the definition of traffic information complexity.
The traffic network measurement model is established based on the information entropy, and the coordinated evolution
rocess of the multi-layer urban traffic network is analysed for defining the ordered parameters of the traffic network.
Then the coordinated measurement model for the multi-layer traffic network is constructed by the ordered parameters.
In addition, we set up a coordinated evolution model according to the proposed estimation criteria of the ordered
parameters and the theory of the multi-dimensional connection numbers. The case analysis shows that the order degree
of Hangzhou traffic network is 0.7929, which approaches to 1 as while the comprehensive coordinated index of Hangzhou
multi-layer traffic network is 0.3323, which clearly and intuitively gives a measurement value for the multi-layer
urban traffic network. The result is also effectively verified the validity of the proposed models.</abstract><cop>Vilnius</cop><pub>Vilnius Gediminas Technical University</pub><doi>10.3846/transport.2020.13626</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Transport (Vilnius, Lithuania), 2020-09, Vol.35 (4), p.389-400 |
| issn | 1648-4142 1648-3480 |
| language | eng |
| recordid | cdi_proquest_journals_2469095156 |
| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Complexity Compression tests Entropy (Information theory) Evolution Multilayers Parameter estimation Traffic information Traffic models |
| title | A KIND OF COORDINATED EVOLUTION MEASUREMENT MODEL FOR TRAFFIC NETWORK BASED ON COMPLEXITY DEGREE |
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