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An evolutionary model of Braess's paradox and the social welfare optimal solution
The Braess's paradox is the phenomenon that increasing the resources leads to the reduction of the overall welfare, originally proposed in the field of transportation. An evolutionary game model is proposed to explicitly depict the process of individual learning in this phenomenon. It can shows...
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creator | Yu, Xianping Wang, Kaiyue Wang, Xin Yu, Tongkui |
description | The Braess's paradox is the phenomenon that increasing the resources leads to the reduction of the overall welfare, originally proposed in the field of transportation. An evolutionary game model is proposed to explicitly depict the process of individual learning in this phenomenon. It can shows clearly how the individual rationality leads to collective irrationality. A proper charging scheme is provided which can not only solve the Braess's paradox, but also maximize social welfare. This work provides inspiration for the policy to guide the self-interested individuals to achieve social welfare maximization. |
doi_str_mv | 10.1109/ICCSS48103.2019.9115453 |
format | conference_proceeding |
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This work provides inspiration for the policy to guide the self-interested individuals to achieve social welfare maximization.</description><subject>Braess's paradox</subject><subject>evolutionary game theory</subject><subject>road toll pricing</subject><subject>social welfare maximization</subject><issn>2639-4235</issn><isbn>9781728158570</isbn><isbn>1728158575</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2019</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkEtLxDAUhaMgOIz9BS7MzlXrvXlMkuVYfAwMiIyuh7RJsNJpSlIf8-8dsKvDdxYfh0PIDUKFCOZuU9e7ndAIvGKApjKIUkh-RgqjNCqmUWqp4Jws2IqbUjAuL0mR8ycAcAZcSFyQ1_VA_Xfsv6YuDjYd6SE639MY6H2yPufbTEebrIu_1A6OTh-e5th2tqc_vg82eRrHqTucOM-SK3IRbJ99MeeSvD8-vNXP5fblaVOvt2WHqKdScSlUa9GFlbPagA3K-qDbBoxvAuONlrrVUgaBHFEw4UyDoBycCmZEy5fk-t_bee_3YzqNSMf9fAL_AxfFUcA</recordid><startdate>201909</startdate><enddate>201909</enddate><creator>Yu, Xianping</creator><creator>Wang, Kaiyue</creator><creator>Wang, Xin</creator><creator>Yu, Tongkui</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201909</creationdate><title>An evolutionary model of Braess's paradox and the social welfare optimal solution</title><author>Yu, Xianping ; Wang, Kaiyue ; Wang, Xin ; Yu, Tongkui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i118t-73547ca1df6da890af7aef8cb09ebf23b858c855f41311424d9b107d0f41294c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Braess's paradox</topic><topic>evolutionary game theory</topic><topic>road toll pricing</topic><topic>social welfare maximization</topic><toplevel>online_resources</toplevel><creatorcontrib>Yu, Xianping</creatorcontrib><creatorcontrib>Wang, Kaiyue</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Yu, Tongkui</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yu, Xianping</au><au>Wang, Kaiyue</au><au>Wang, Xin</au><au>Yu, Tongkui</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An evolutionary model of Braess's paradox and the social welfare optimal solution</atitle><btitle>2019 6th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)</btitle><stitle>ICCSS</stitle><date>2019-09</date><risdate>2019</risdate><spage>31</spage><epage>35</epage><pages>31-35</pages><eissn>2639-4235</eissn><eisbn>9781728158570</eisbn><eisbn>1728158575</eisbn><abstract>The Braess's paradox is the phenomenon that increasing the resources leads to the reduction of the overall welfare, originally proposed in the field of transportation. An evolutionary game model is proposed to explicitly depict the process of individual learning in this phenomenon. It can shows clearly how the individual rationality leads to collective irrationality. A proper charging scheme is provided which can not only solve the Braess's paradox, but also maximize social welfare. This work provides inspiration for the policy to guide the self-interested individuals to achieve social welfare maximization.</abstract><pub>IEEE</pub><doi>10.1109/ICCSS48103.2019.9115453</doi><tpages>5</tpages></addata></record> |
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ispartof | 2019 6th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS), 2019, p.31-35 |
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source | IEEE Xplore All Conference Series |
subjects | Braess's paradox evolutionary game theory road toll pricing social welfare maximization |
title | An evolutionary model of Braess's paradox and the social welfare optimal solution |
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