IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p10032-d1178632.html
   My bibliography  Save this article

Research on a Driving Assistance System for Lane Changes on Foggy Highways

Author

Listed:
  • Wenjin Sun

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Yongjun Min

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China)

Abstract

Currently, there is limited research in the field of micro-scale foggy weather highway lane-change driving assistance systems. This study focuses on the development of a lane-change driving assistance system for vehicles on foggy highways. The system is designed to address the need for lane changes in various scenarios, such as lane number variations, vehicle malfunctions, and vehicle departure from the highway, which are commonly encountered during foggy weather conditions on highways. According to the development trend of the high-precision BeiDou positioning system and electronic map, a lane positioning technology based on vertical iterative methods for lane changes of vehicles driving on foggy highways that relies on V2V technology to study the safe distance of lane changing, in addition to lane-changing warning rules, is proposed; the network performance of the system was tested through a physical design. The experimental results show that the network performance of the system is stable when driving on a foggy highway, with low latency (below 30 ms) and high data throughput (above 550 kb/s at a 300 m communication distance) ensuring fast and effective sending and receiving of information on vehicle driving status. This study can improve the capacity of vehicles on foggy highways and achieve the purpose of “less speed reduction, less road closure”.

Suggested Citation

  • Wenjin Sun & Yongjun Min, 2023. "Research on a Driving Assistance System for Lane Changes on Foggy Highways," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10032-:d:1178632
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/10032/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/13/10032/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. He, Yongming & Feng, Jia & Wei, Kun & Cao, Jian & Chen, Shisheng & Wan, Yanan, 2023. "Modeling and simulation of lane-changing and collision avoiding autonomous vehicles on superhighways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(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. Fu, Chuanyun & Lu, Zhaoyou & Ding, Naikan & Bai, Wei, 2024. "Distance headway-based safety evaluation of emerging mixed traffic flow under snowy weather," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 642(C).

    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:gam:jsusta:v:15:y:2023:i:13:p:10032-:d:1178632. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.