IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v44y2023i4p2175-2185.html
   My bibliography  Save this article

Speed distribution model, expectation speed of the system and aggregation behaviour for traffic congestion

Author

Listed:
  • Chaofa Wang
  • Dongdong Li
  • Qing Liu
  • Xiaorong Wei

Abstract

This research presents a distribution model using queuing theory for traffic congestion that can be used to analyse the concrete dynamics of the expectation speed of a system, which consists of two paths, and finds that the expectation speed is a quadratic function for increment (quantities of optimistic drivers) per unit time without assuming the full rationality of choice behaviour; focusing on the conclusions of certain practical significance, a potential function and a jump Markov chain can be used to describe how the degree of uncertain parameters affects drivers' aggregated behaviour.

Suggested Citation

  • Chaofa Wang & Dongdong Li & Qing Liu & Xiaorong Wei, 2023. "Speed distribution model, expectation speed of the system and aggregation behaviour for traffic congestion," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2175-2185, June.
    • Handle: RePEc:wly:mgtdec:v:44:y:2023:i:4:p:2175-2185
    DOI: 10.1002/mde.3810
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.3810
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.3810?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bohren, J. Aislinn, 2016. "Informational herding with model misspecification," Journal of Economic Theory, Elsevier, vol. 163(C), pages 222-247.
    2. L. Ingber, 1982. "Statistical mechanics of neocortical interactions. I. Basic formulation," Lester Ingber Papers 82ni, Lester Ingber.
    3. Osorio, Carolina & Bierlaire, Michel, 2009. "An analytic finite capacity queueing network model capturing the propagation of congestion and blocking," European Journal of Operational Research, Elsevier, vol. 196(3), pages 996-1007, August.
    4. Weitiao Wu & Wenzhou Jin & Luou Shen, 2013. "Mixed Platoon Flow Dispersion Model Based on Speed-Truncated Gaussian Mixture Distribution," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-9, June.
    5. Roughgarden, Tim & Tardos, Eva, 2004. "Bounding the inefficiency of equilibria in nonatomic congestion games," Games and Economic Behavior, Elsevier, vol. 47(2), pages 389-403, May.
    6. Zheng, Dazhi & Li, Huimin & Zhu, Xiaowei, 2015. "Herding behavior in institutional investors: Evidence from China’s stock market," Journal of Multinational Financial Management, Elsevier, vol. 32, pages 59-76.
    7. Emrouznejad, Ali & Parker, Barnett R. & Tavares, Gabriel, 2008. "Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 151-157, September.
    8. Babalos, Vassilios & Balcilar, Mehmet & Gupta, Rangan, 2015. "Herding behavior in real estate markets: Novel evidence from a Markov-switching model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 8(C), pages 40-43.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Helmi Hammami & Thanh Ngo & David Tripe & Dinh-Tri Vo, 2022. "Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector," Annals of Operations Research, Springer, vol. 311(2), pages 675-694, April.
    2. Mohammad Ataei & Soamayeh Naserian, 2015. "An Assessment Study on the Efficiency of Banks through Data Envelopment Analysis (DEA). Case Study: A Bank Based in Tehran," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 5(4), pages 105-110, October.
    3. Itai Arieli & Fedor Sandomirskiy & Rann Smorodinsky, 2020. "On social networks that support learning," Papers 2011.05255, arXiv.org.
    4. Bettina Campedelli & Andrea Guerrina & Giulia Romano & Chiara Leardini, 2014. "La performance della rete ospedaliera pubblica della regione Veneto. L?impatto delle variabili ambientali e operative sull?efficienza," MECOSAN, FrancoAngeli Editore, vol. 2014(92), pages 119-142.
    5. Kwon, He-Boong & Lee, Jooh, 2019. "Exploring the differential impact of environmental sustainability, operational efficiency, and corporate reputation on market valuation in high-tech-oriented firms," International Journal of Production Economics, Elsevier, vol. 211(C), pages 1-14.
    6. Peyrache, Antonio & Rose, Christiern & Sicilia, Gabriela, 2020. "Variable selection in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 282(2), pages 644-659.
    7. Mohsen Afsharian & Anna Kryvko & Peter Reichling, 2011. "Efficiency and Its Impact on the Performance of European Commercial Banks," FEMM Working Papers 110018, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    8. Ülengin, Füsun & Kabak, Özgür & Önsel, Sule & Aktas, Emel & Parker, Barnett R., 2011. "The competitiveness of nations and implications for human development," Socio-Economic Planning Sciences, Elsevier, vol. 45(1), pages 16-27, March.
    9. Adel Hatami-Marbini & Madjid Tavana & Kobra Gholami & Zahra Ghelej Beigi, 2015. "A Bounded Data Envelopment Analysis Model in a Fuzzy Environment with an Application to Safety in the Semiconductor Industry," Journal of Optimization Theory and Applications, Springer, vol. 164(2), pages 679-701, February.
    10. Li, Feng & Zhu, Qingyuan & Chen, Zhi, 2019. "Allocating a fixed cost across the decision making units with two-stage network structures," Omega, Elsevier, vol. 83(C), pages 139-154.
    11. Chen, Chien-Ming & van Dalen, Jan, 2010. "Measuring dynamic efficiency: Theories and an integrated methodology," European Journal of Operational Research, Elsevier, vol. 203(3), pages 749-760, June.
    12. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    13. Stephanie De Mel & Kaivan Munshi & Soenje Reiche & Hamid Sabourian, 2021. "Herding with Heterogeneous Ability: An Application to Organ Transplantation," Cowles Foundation Discussion Papers 2308, Cowles Foundation for Research in Economics, Yale University.
    14. Philippe Jehiel, 2022. "Analogy-Based Expectation Equilibrium and Related Concepts:Theory, Applications, and Beyond," PSE Working Papers halshs-03735680, HAL.
    15. Paul Heidhues & Botond KH{o}szegi & Philipp Strack, 2019. "Overconfidence and Prejudice," Papers 1909.08497, arXiv.org.
    16. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    17. Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2021. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 13(3), pages 163-197, August.
    18. Bastian Schulz, 2023. "Behavioral Finance and how its Behavioral Biases Affect German Investors," ACTA VSFS, University of Finance and Administration, vol. 17(1), pages 39-59.
    19. L. Ingber, 2023. "Parameterization of quantum systems," Lester Ingber Papers 23pq, Lester Ingber.
    20. Anna Ćwiąkała-Małys & Violetta Nowak, 2009. "Classification of Data Envelopment Analysis models," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(3), pages 5-18.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:mgtdec:v:44:y:2023:i:4:p:2175-2185. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.