IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/2891247.html
   My bibliography  Save this article

An Intersection Platoon Speed Control Model Considering Traffic Efficiency and Energy Consumption in CVIS

Author

Listed:
  • Wenhao Ren
  • Junyou Zhang
  • Li Li
  • Qian Zhou

Abstract

This paper proposed an intersection platoon speed control model considering traffic efficiency and energy consumption in the cooperative vehicle-infrastructure systems (CVIS) environment. This model divides the control situation in detail according to the different state of signal lights at the intersection and splits the platoon that cannot pass the intersection completely. The optimization model is established by taking the traffic delay and energy consumption of the platoon as the control objectives, and the model is solved by using a genetic algorithm (GA). Finally, the simulation platform is built by SUMO traffic simulation software, MATLAB, and Python to verify the model. The simulation results show that the total number of queued vehicles, the maximum number of queued vehicles, and the mean travel time of vehicles decreased by 77.81%, 33.33%, and 10.95%, respectively. Besides, the total fuel consumption is reduced by 19.95%, the total emissions of CO 2 , CO, HC, NO x , and PM x decreased by 19.96%, 58.55%, 51.33%, 23.81%, and 37.51%, respectively. It indicates that the proposed platoon speed control model can effectively improve traffic efficiency while reducing energy consumption and pollutant emissions.

Suggested Citation

  • Wenhao Ren & Junyou Zhang & Li Li & Qian Zhou, 2021. "An Intersection Platoon Speed Control Model Considering Traffic Efficiency and Energy Consumption in CVIS," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-17, December.
  • Handle: RePEc:hin:jnlmpe:2891247
    DOI: 10.1155/2021/2891247
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2021/2891247.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2021/2891247.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/2891247?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tao Li & Baoli Gong & Yong Peng & Jin Nie & Zheng Wang & Yiqi Chen & Guoquan Xie & Kui Wang & Honghao Zhang, 2023. "Analysis and Comparative Study of Signalized and Unsignalized Intersection Operations and Energy-Emission Characteristics Based on Real Vehicle Data," Energies, MDPI, vol. 16(17), pages 1-24, August.

    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:hin:jnlmpe:2891247. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.