IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v593y2022ics0378437122000589.html
   My bibliography  Save this article

Zip-merging behavior at Y-intersection based on intelligent travel points

Author

Listed:
  • Sun, Qipeng
  • Cheng, Qianqian
  • Wang, Yongjie
  • Li, Tao
  • Ma, Fei
  • Yao, Zhigang

Abstract

Y-intersection is the traffic bottleneck of urban roads, which is mainly seen in the on-ramp and lane reduction road. As an effective way to solve the traffic congestion at Y-intersection, Zip-merging has been applied in some Chinese cities. In this paper, the Driving Order Game is selected as the decision-making model, and the Intelligent Travel Points (ITPs) based on driver behaviors are introduced to guide the drivers to cooperate spontaneously, so as to establish the guidance mechanism of Zip-merging at Y-intersection, which could be applied to the Driving Order Recommendation System. The agent-based model is used in the mechanism research. The behaviors of agents are affected by multiple parameters such as “Preference values for ITPs”, “passing time”. The results show that the Zip-merging can improve the traffic efficiency by 13.79% and ITPs can promote the cooperation between drivers. In addition, the good passing performance could be achieved by improving strong dependence of drivers on ITPs, while drivers are not required to have a high dependence on ITPs in the long term. DORS are designed with the maximum number of cars allowed to pass to maintain overall road efficiency, preferably set to 1 or 2. The results are helpful to realize the coordination of “physical layer–interaction layer–credit layer”, and provide theoretical support for the improvement of Cooperative Intelligent Transportation System.

Suggested Citation

  • Sun, Qipeng & Cheng, Qianqian & Wang, Yongjie & Li, Tao & Ma, Fei & Yao, Zhigang, 2022. "Zip-merging behavior at Y-intersection based on intelligent travel points," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
  • Handle: RePEc:eee:phsmap:v:593:y:2022:i:c:s0378437122000589
    DOI: 10.1016/j.physa.2022.126951
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437122000589
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2022.126951?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Levy, Nadav & Klein, Ido & Ben-Elia, Eran, 2018. "Emergence of cooperation and a fair system optimum in road networks: A game-theoretic and agent-based modelling approach," Research in Transportation Economics, Elsevier, vol. 68(C), pages 46-55.
    2. Wang, Yongjie & Chen, Tong & Chen, Qiao & Si, Guangrun, 2017. "Emotional decisions in structured populations for the evolution of public cooperation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 475-481.
    3. Kanagaraj, Venkatesan & Treiber, Martin, 2018. "Self-driven particle model for mixed traffic and other disordered flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1-11.
    4. Steg, Linda, 2005. "Car use: lust and must. Instrumental, symbolic and affective motives for car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 147-162.
    5. Daganzo, Carlos F., 1981. "Estimation of gap acceptance parameters within and across the population from direct roadside observation," Transportation Research Part B: Methodological, Elsevier, vol. 15(1), pages 1-15, February.
    6. Chen, Qiao & Chen, Tong & Wang, Yongjie, 2017. "Publishing the donation list incompletely promotes the emergence of cooperation in public goods game," Applied Mathematics and Computation, Elsevier, vol. 310(C), pages 48-56.
    7. Martin A. Nowak & Corina E. Tarnita & Edward O. Wilson, 2010. "The evolution of eusociality," Nature, Nature, vol. 466(7310), pages 1057-1062, August.
    8. Cassidy, Michael J. & Bertini, Robert L., 1999. "Some traffic features at freeway bottlenecks," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 25-42, February.
    9. Wang, Yongjie & Shen, Binchang & Wu, Hao & Wang, Chao & Su, Qian & Chen, Wenqiang, 2021. "Modeling illegal pedestrian crossing behaviors at unmarked mid-block roadway based on extended decision field theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    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. Wang, Yongjie & Yao, Zhouzhou & Wang, Chao & Ren, Jiale & Chen, Qiao, 2020. "The impact of intelligent transportation points system based on Elo rating on emergence of cooperation at Y intersection," Applied Mathematics and Computation, Elsevier, vol. 370(C).
    2. Sun, Qipeng & Liu, Hang & Wang, Yongjie & Li, Qiong & Chen, Wenqiang & Bai, Pengxia & Xue, Chenlei, 2022. "Cooperation in the jaywalking dilemma of a road public good due to points guidance," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    3. Zhenghong Wu & Huan Huang & Qinghu Liao, 2021. "The study on the role of dedicators on promoting cooperation in public goods game," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-17, September.
    4. Chen, Qiao & Chen, Tong & Wang, Yongjie, 2019. "Cleverly handling the donation information can promote cooperation in public goods game," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 363-373.
    5. Yang, Ran & Chen, Tong & Chen, Qiao, 2018. "The impact of lotteries on cooperation in the public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 925-934.
    6. Wang, Le & Chen, Tong & You, Xinshang & Wang, Yongjie, 2018. "The effect of wealth-based anti-expectation behaviors on public cooperation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 84-93.
    7. Banks, James H., 2003. "Average time gaps in congested freeway flow," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(6), pages 539-554, July.
    8. Schwanen, Tim, 2020. "Towards decolonial human subjects in research on transport," Journal of Transport Geography, Elsevier, vol. 88(C).
    9. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    10. Mattauch, Linus & Hepburn, Cameron & Stern, Nicholas, 2018. "Pigou pushes preferences: decarbonisation and endogenous values," INET Oxford Working Papers 2018-16, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    11. Lois, David & López-Sáez, Mercedes, 2009. "The relationship between instrumental, symbolic and affective factors as predictors of car use: A structural equation modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(9-10), pages 790-799, November.
    12. He, Mingwei & He, Chengfeng & Shi, Zhuangbin & He, Min, 2022. "Spatiotemporal heterogeneous effects of socio-demographic and built environment on private car usage: An empirical study of Kunming, China," Journal of Transport Geography, Elsevier, vol. 101(C).
    13. Jun Guan Neoh & Maxwell Chipulu & Alasdair Marshall, 2017. "What encourages people to carpool? An evaluation of factors with meta-analysis," Transportation, Springer, vol. 44(2), pages 423-447, March.
    14. Fabio Antonialli & Rodrigo Gandia & Joel Sugano & Isabelle Nicolaï & Arthur Neto, 2019. "Business Platforms For Autonomous Vehicles Within Urban Mobility," Post-Print halshs-03687640, HAL.
    15. Catherine C Eckel & Enrique Fatas & Sara Godoy & Rick K Wilson, 2016. "Group-Level Selection Increases Cooperation in the Public Goods Game," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-13, August.
    16. Som B Ale & Joel S Brown & Amy T Sullivan, 2013. "Evolution of Cooperation: Combining Kin Selection and Reciprocal Altruism into Matrix Games with Social Dilemmas," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-8, May.
    17. Allen, Jaime & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2019. "On evasion behaviour in public transport: Dissatisfaction or contagion?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 626-651.
    18. Naqavi, Fatemeh & Sundberg, Marcus & Västberg, Oskar Blom & Karlström, Anders & Hugosson, Muriel Beser, 2023. "Mobility constraints and accessibility to work: Application to Stockholm," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    19. David P. Ashmore & Roselle Thoreau & Corina Kwami & Nicola Christie & Nicholas A. Tyler, 2020. "Using thematic analysis to explore symbolism in transport choice across national cultures," Transportation, Springer, vol. 47(2), pages 607-640, April.
    20. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 52-64.

    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:eee:phsmap:v:593:y:2022:i:c:s0378437122000589. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.