• DocumentCode
    2452304
  • Title

    Optimization of Luminous Intensity Distribution of Roadway Lighting Luminaire Based on Genetic Algorithm

  • Author

    Zou, Jiping ; Li, Li

  • Author_Institution
    Coll. of Archit. & Urban Planning, Tongji Univ. Shanghai, Shanghai, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    327
  • Lastpage
    330
  • Abstract
    Uniformity of overall and longitudinal (Uo, UL) are two important items to evaluate roadway lighting quality. The fitness function incorporates two adaptive parameters in order to take both Uo and UL into consideration as multi-objective function for genetic algorithm. Installation geometry is specified to build up direct connection between I-table and r-table to result in an optimal I-table for R3 road surface. It proves that the application of GA to optimize I-table is feasible in this paper.
  • Keywords
    brightness; genetic algorithms; roads; street lighting; transportation; I-table; R3 road surface; adaptive parameter; fitness function; genetic algorithm; installation geometry; luminous intensity distribution; multiobjective function; r-table; roadway lighting luminaire; Encoding; Gallium; Lighting; Optical design; Optimization; Roads; Roadway Lighting - c136; GA; Luminous Intensity Distribution; optimization; road lighting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.163
  • Filename
    5708770
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2452304