• DocumentCode
    727946
  • Title

    Analysis of fitness function of genetic algorithm for road traffic network division

  • Author

    Potuzak, Tomas ; Lipka, Richard

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of West Bohemia, Plzen, Czech Republic
  • fYear
    2015
  • fDate
    25-27 June 2015
  • Firstpage
    40
  • Lastpage
    46
  • Abstract
    In this paper, the analysis of the fitness function of a genetic algorithm is discussed. This genetic algorithm is used by a method for the road traffic network division. The division of the road traffic network into a number of sub-networks is a part of necessary preparations for a distributed road traffic simulation. The fitness function consists of two parts reflecting two important issues of the road traffic network division - the load-balancing of the resulting sub-networks and the minimization of the number of divided traffic lanes. During the optimization and refactoring of the division method, it was discovered that the fitness function of the genetic algorithm is flawed, but gives better results than a new (repaired) fitness function. Hence, the working of the original fitness function was analyzed and the new fitness function was adjusted to give similar or better results than the original fitness function.
  • Keywords
    genetic algorithms; minimisation; road traffic; traffic engineering computing; distributed road traffic simulation; divided traffic lane minimization; fitness function analysis; genetic algorithm; road traffic network division; subnetwork load-balancing; Data structures; Genetic algorithms; Minimization; Radiation detectors; Roads; Traffic control; Vehicles; fitness function analysis; genetic algorithm; traffic network division;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human System Interactions (HSI), 2015 8th International Conference on
  • Conference_Location
    Warsaw
  • Type

    conf

  • DOI
    10.1109/HSI.2015.7170641
  • Filename
    7170641