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A Side-Constrained Peer-to-Peer Carpooling Stochastic User Equilibrium Model.

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Title: A Side-Constrained Peer-to-Peer Carpooling Stochastic User Equilibrium Model.
Authors: Ruimin MA1 1486857526@qq.com, Lifei YAO2 yaolf1218@gdufe.edu.cn
Source: Technical Gazette / Tehnički Vjesnik. 2020, Vol. 27 Issue 2, p638-647. 10p.
Subjects: Traffic congestion, Equilibrium
Abstract: Peer-to-peer (P2P) carpooling has become an effective way to utilize the idle car capacity and ease traffic congestion. However, the interactive relationship between carpooling and traffic congestion has not been fully quantified. To make up for this gap, this paper constructs a side-constrained P2P carpooling stochastic user equilibrium model to disclose the effects of carpooling on traffic congestion. Next, the proposed model was transformed into a linear constrained minimization problem, and the problem was proved to have a unique solution. The case study shows that the travellers prefer carpooling at a high fuel price and a low inconvenient cost. [ABSTRACT FROM AUTHOR]
Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: A Side-Constrained Peer-to-Peer Carpooling Stochastic User Equilibrium Model.
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  Data: <searchLink fieldCode="AR" term="%22Ruimin+MA%22">Ruimin MA</searchLink><relatesTo>1</relatesTo><i> 1486857526@qq.com</i><br /><searchLink fieldCode="AR" term="%22Lifei+YAO%22">Lifei YAO</searchLink><relatesTo>2</relatesTo><i> yaolf1218@gdufe.edu.cn</i>
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  Data: <searchLink fieldCode="DE" term="%22Traffic+congestion%22">Traffic congestion</searchLink><br /><searchLink fieldCode="DE" term="%22Equilibrium%22">Equilibrium</searchLink>
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  Data: Peer-to-peer (P2P) carpooling has become an effective way to utilize the idle car capacity and ease traffic congestion. However, the interactive relationship between carpooling and traffic congestion has not been fully quantified. To make up for this gap, this paper constructs a side-constrained P2P carpooling stochastic user equilibrium model to disclose the effects of carpooling on traffic congestion. Next, the proposed model was transformed into a linear constrained minimization problem, and the problem was proved to have a unique solution. The case study shows that the travellers prefer carpooling at a high fuel price and a low inconvenient cost. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.17559/TV-20191030042329
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      – Code: eng
        Text: English
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        PageCount: 10
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      – SubjectFull: Traffic congestion
        Type: general
      – SubjectFull: Equilibrium
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      – TitleFull: A Side-Constrained Peer-to-Peer Carpooling Stochastic User Equilibrium Model.
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            NameFull: Ruimin MA
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            NameFull: Lifei YAO
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              Text: 2020
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