Optimization of ACC using Soft Computing Technique

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Sathiyan:2011:ijcsis,
  author =       "S. Paul Sathiyan and A. Wisemin Lins and 
                 S. Suresh Kumar",
  title =        "Optimization of ACC using Soft Computing Technique",
  journal =      "International Journal of Computer Science and
                 Information Security",
  year =         "2011",
  volume =       "9",
  number =       "2",
  pages =        "150--154",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming, adaptive
                 cruise control, fuzzy Logic Control",
  ISSN =         "1947-5500",
  URL =          "http://www.scribd.com/doc/50265760",
  URL =          "http://www.docstoc.com/docs/73173040/Optimization-of-ACC-using-Soft-Computing-Technique",
  oai =          "oai:doaj-articles:76e70384736cbe18b167329212a51451",
  abstract =     "The important feature of the Adaptive Cruise Control
                 (ACC) system is the ability to maintain a proper
                 inter-vehicle gap based on the speed of leading vehicle
                 and the desired distance. Adaptive Cruise Control
                 operates in two modes (i) Velocity Control mode, (ii)
                 Distance Control mode. ACC acts like a conventional
                 Cruise Controller (CC) under velocity control mode. In
                 the case of the distance control mode, the speed of the
                 host vehicle is reduced according to the surrounding
                 environment to maintain the safe distance between the
                 leading vehicle and the host vehicle. 25 rules have
                 been used in Fuzzy logic Controller (FLC) with the
                 knowledge base of the system. The inputs of the FLC are
                 distance error and the speed error. The host vehicle
                 adapts to the lead vehicle speed changes and tries to
                 maintain a proper distance between them. The
                 performance of the FLC based ACC is improved by Genetic
                 Algorithm to tune the fuzzy rule base. Genetic
                 Programming is used to select the best rule out of the
                 25 for a corresponding input. The result showed a
                 better improvement over the Fuzzy Controlled System.",
  notes =        "http://sites.google.com/site/ijcsis/

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}

Genetic Programming entries for S Paul Sathiyan A Wisemin Lins S Suresh Kumar

Citations