IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i19p10501-d640433.html
   My bibliography  Save this article

Effects of Fog in a Brazilian Road Segment Analyzed by a Driving Simulator for Sustainable Transport: Drivers’ Speed Profile under In-Vehicle Warning Systems

Author

Listed:
  • Felipe Calsavara

    (Department of Transportation Engineering, São Carlos School of Engineering (EESC), University of São Paulo (USP), São Carlos 13566-590, Brazil)

  • Felipe Issa Kabbach

    (Department of Transportation Engineering, Polytechnic School, University of São Paulo (USP), São Paulo 05508-070, Brazil)

  • Ana Paula C. Larocca

    (Department of Transportation Engineering, São Carlos School of Engineering (EESC), University of São Paulo (USP), São Carlos 13566-590, Brazil)

Abstract

Intelligent transport systems enable vehicles to communicate with each other and with the environment, ensuring road safety. Their implementation can help reduce the number of accidents, especially in stretches of s-curves, where speed control is essential to ensure the safety of drivers, and under hazardous weather conditions. Such systems promptly notify drivers about potentially dangerous road conditions, such as fog, so that they can better adapt their driving behavior. This study evaluates the driver’s speed profile in different scenarios (clear weather, fog weather, and fog with an in-vehicle fog warning system) considering the road geometry elements (s-curves). A driving simulator recreated the real scenarios of a principal Brazilian road segment, showing the geometric and weather conditions of a road known for its several s-curves and frequent incidence of fog. A preliminary study identified the most critical curves through a weighted severity index methodology to define the critical segment. The results showed drivers considerably reduced their speed in the scenario with a warning system, thus contributing to the safety of s-curved segments. The implementation of in-vehicle warning systems can avoid or reduce the need for major infrastructure interventions such as geometric design, through investments in new intelligent transport systems.

Suggested Citation

  • Felipe Calsavara & Felipe Issa Kabbach & Ana Paula C. Larocca, 2021. "Effects of Fog in a Brazilian Road Segment Analyzed by a Driving Simulator for Sustainable Transport: Drivers’ Speed Profile under In-Vehicle Warning Systems," Sustainability, MDPI, vol. 13(19), pages 1-13, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10501-:d:640433
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/19/10501/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/19/10501/
    Download Restriction: no
    ---><---

    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:13:y:2021:i:19:p:10501-:d:640433. 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: 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.