IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v170y2020icp32-50.html
   My bibliography  Save this article

Effect of vehicle swiveling headlamps and highway geometric design on nighttime sight distance

Author

Listed:
  • De Santos-Berbel, César
  • Castro, Maria

Abstract

Sight distance is a fundamental factor in the design of highways as it determines their operational and safety performance, particularly in nighttime. Vehicles are increasingly being equipped with driving assistance systems such as adaptive frontlighting systems, from which potential safety benefits can be derived. One of the main capabilities of adaptive headlights is controlling headlamp swiveling when driving on horizontal curves to light up a greater section of the roadway ahead. In this study, the vehicle headlight beam was recreated to simulate swiveling systems that adapt the headlight beam to the highway geometry. Diverse horizontal spread angle values were assumed for the headlight lighting pattern. Based on horizontal curvature, a total of 24,663 mathematical functions that control the headlight swiveling angle were simulated. Next, headlight sight distance (HSD) was estimated on a 3D virtual model of an in-service highway, under assumptions of fixed and swiveling headlamps. Two types of algorithms were proposed for the swiveling headlights, one based on the trajectory curvature and another one predictive. The sets of HSD results were then analyzed and compared, the effects of the swiveling headlights on HSD being quantified along the highway section studied. In addition, the performance of diverse swiveling headlights was analyzed under different 3D highway alignment combinations. Finally, the robustness of the proposed procedure was validated.

Suggested Citation

  • De Santos-Berbel, César & Castro, Maria, 2020. "Effect of vehicle swiveling headlamps and highway geometric design on nighttime sight distance," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 170(C), pages 32-50.
    • Handle: RePEc:eee:matcom:v:170:y:2020:i:c:p:32-50
    DOI: 10.1016/j.matcom.2019.08.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475419302563
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2019.08.012?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. Garach, L. & de Oña, J. & Pasadas, M., 2014. "Determination of alignments in existing roads by using spline techniques," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 102(C), pages 144-152.
    2. Bagdasar, Ovidiu & Berry, Stuart & O’Neill, Sam & Popovici, Nicolae & Raja, Ramachandran, 2019. "Traffic assignment: Methods and simulations for an alternative formulation of the fixed demand problem," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 155(C), pages 360-373.
    3. Reinoso, J.F. & Moncayo, M. & Ariza-López, F.J., 2015. "A new iterative algorithm for creating a mean 3D axis of a road from a set of GNSS traces," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 118(C), pages 310-319.
    4. Liatsis, P & Tawfik, H.M, 1999. "Two-dimensional road shape optimisation using genetic algorithms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 51(1), pages 19-31.
    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. Ling Zheng & Bijun Li & Bo Yang & Huashan Song & Zhi Lu, 2019. "Lane-Level Road Network Generation Techniques for Lane-Level Maps of Autonomous Vehicles: A Survey," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    2. Marta Rojo, 2020. "Evaluation of Traffic Assignment Models through Simulation," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    3. O’Neill, Sam & Bagdasar, Ovidiu & Berry, Stuart & Popovici, Nicolae & Raja, Ramachandran, 2022. "Modelling equilibrium for a multi-criteria selfish routing network equilibrium flow problem," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 201(C), pages 658-669.
    4. César De Santos-Berbel & Sara Ferreira & António Couto & António Lobo, 2024. "Development of Motorway Horizontal Alignment Databases for Accurate Accident Prediction Models," Sustainability, MDPI, vol. 16(17), pages 1-18, August.
    5. Bertolazzi, Enrico & Bevilacqua, Paolo & Frego, Marco, 2020. "Efficient intersection between splines of clothoids," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 176(C), pages 57-72.

    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:matcom:v:170:y:2020:i:c:p:32-50. 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/mathematics-and-computers-in-simulation/ .

    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.