Evolving a General Electronic Stability Program for Car Simulated in TORCS

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Jilin Huang and Ivan Tanev and Katsunori Shimohara",
  title =        "Evolving a General Electronic Stability Program for
                 Car Simulated in TORCS",
  booktitle =    "Proceedings of the IEEE Conference on Computational
                 Intelligence and Games (CIG-2015)",
  year =         "2015",
  editor =       "Shi-Jim Yen and Tristan Cazenave and Philip Hingston",
  pages =        "446--453",
  address =      "Tainan, Taiwan",
  month =        aug # " 31-" # sep # " 2",
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, electronic
                 stability program, evolutionary design, TORCS",
  DOI =          "doi:10.1109/CIG.2015.7317955",
  size =         "8 pages",
  abstract =     "We present an approach of evolving (via Genetic
                 Programming, GP) the electronic stability program (ESP)
                 of a car, realistically simulated in The Open Racing
                 Car Simulator (TORCS). ESP is intended to assist the
                 yaw rotation of an unstable (e.g., either understeering
                 or oversteering) car in low-grip, slippery road
                 conditions by applying a carefully-timed asymmetrical
                 braking forces to its wheels. In the proposed approach,
                 the amount of ESP-induced brake force is represented as
                 an evolvable (via GP) algebraic function (brake force
                 function BFF) of the values of parameters, pertinent to
                 the state of the car, and their derivatives. In order
                 to obtain a general BFF, i.e., a function that result
                 in a handling of the car, that is better than that of
                 non ESP car, for a wide range of conditions, we
                 evaluate the evolving BFF in several fitness cases
                 representing different combinations of surface
                 conditions and speeds of the car. The experimental
                 results indicate that, compared to the car without ESP,
                 the best evolved BFF of ESP offers a superior
                 controllability - in terms of both (i) a smaller
                 deviation from the ideal trajectory and (ii) faster
                 average speed on a wide range of track conditions (icy,
                 snowy, rainy and dry) and travelling speeds. Presented
                 work could be viewed as an attempt to contribute a new
                 functionality in TORCS that might enrich the experience
                 of gamers by the enhanced controllability of their cars
                 in slippery road conditions. Also, the results could be
                 seen as a step towards the verification of the
                 feasibility of applying GP for automated, evolutionary
                 development of ESP.",
  notes =        "Nice pictures of understeer and oversteer. XPG

                 11:20 http://cig2015.nctu.edu.tw/program Graduate
                 School of Science and Engineering, Doshisha University,
                 Kyoto, Japan",

Genetic Programming entries for Jilin Huang Ivan T Tanev Katsunori Shimohara