• DocumentCode
    160297
  • Title

    Consensual and co-ordinated vehicular headlight attenuation using wireless sensor networks

  • Author

    Menon, K. A. Unnikrishna ; Devassy Ananyase, Alin ; Pradeep, Prachi

  • Author_Institution
    Amrita Center for Wireless Networks & Applic, Amrita Vishwa Vidyapeetham, Kollam, India
  • fYear
    2014
  • fDate
    11-13 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Driving at night causes approximately 50% of traffic fatalities; one of the primary causes being the usage of headlights on high beam. Courteous drivers usually lower their headlights from high to low beam when they see oncoming traffic. However, due to driver inertia, either inherent and/or caused by frequent switching between high and low beams, headlights are eventually left in high beam. This causes temporary blindness in drivers from on-coming traffic, leading to accidents, as well as permanent blindness in frequent nighttime drivers. In this paper, we propose a novel system to automatically attenuate the headlights of oncoming traffic and thereby reduce driver discomfort. We use a consensual and coordinated communication approach in order to request oncoming traffic to lower their headlights to low beam when necessary and lower our own headlights as well. Experiments conducted show that it is possible to automatically attenuate light intensity from on-coming traffic in fractions of a second, at significantly large distances, thereby reducing driver discomfort and mitigating accidents significantly.
  • Keywords
    road accidents; road traffic; traffic engineering computing; wireless sensor networks; consensual vehicular headlight attenuation; coordinated vehicular headlight attenuation; driver discomfort; driver inertia; traffic fatalities; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on
  • Conference_Location
    Hefei
  • Print_ISBN
    978-1-4799-2695-4
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2014.6963007
  • Filename
    6963007