• DocumentCode
    3662479
  • Title

    Vehicle and pedestrian aware street lighting automation

  • Author

    Chen-Wei Yang;Evgeny Nefedov;Seppo Sierla;Paul Flikkema

  • Author_Institution
    Dept. of Computer Science, Electrical and Space Engineering, Lulea University of Technology, Lulea, Sweden
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1269
  • Lastpage
    1274
  • Abstract
    The emergence of LED luminaires that can be dimmed rapidly and frequently enables radical innovations in street lighting automation. It is possible to save considerable amounts of energy by adjusting street lighting according to the movements of individual road users. Since the same lights are often used for illuminating both vehicle lanes and sidewalks, it is necessary to detect both vehicles and pedestrians. A simulation of vehicle and pedestrian traffic is interfaced to a distributed street lighting system based on the IEC 61499 standard, in order to quantify the energy saving potential of a street lighting automation system that exploits real-time sensing information of individual road users while conforming to traffic safety related requirements for road lighting.
  • Keywords
    "Vehicles","Lighting","Roads","Sensors","IEC Standards","Automation","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2015 IEEE 13th International Conference on
  • ISSN
    1935-4576
  • Electronic_ISBN
    2378-363X
  • Type

    conf

  • DOI
    10.1109/INDIN.2015.7281917
  • Filename
    7281917