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Two-dimensional road shape optimisation using genetic algorithms

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  • Liatsis, P
  • Tawfik, H.M

Abstract

This research describes the development of a generic road shape modelling algorithm for simulation of traffic scenes. The proposed algorithm simulates horizontal road alignment, according to the road geometry design standards, in the form of alternating straight section and curve segment arrangement. We utilise genetic algorithms to optimise the road shape with regard to real road design considerations such as road curvature and visibility distance. The input to the system is a set of critical points representing points with extreme road curvature. The output is the two-dimensional coordinates of the road centreline (alignment), optimised for driver's safety and comfort. The algorithm produces successful results for various road types and shapes, and exhibits good tolerance to noise.

Suggested Citation

  • Liatsis, P & Tawfik, H.M, 1999. "Two-dimensional road shape optimisation using genetic algorithms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 51(1), pages 19-31.
    • Handle: RePEc:eee:matcom:v:51:y:1999:i:1:p:19-31
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    References listed on IDEAS

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    1. Nakanishi, Toshio & Yikai, Kunio & Satoh, Jun-ichi & Miyoshi, Isao & Satoh, Akira & Takahashi, Michiya, 1995. "The development of a road traffic simulation system in broad areas," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 207-212.
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    Cited by:

    1. De Santos-Berbel, César & Castro, Maria, 2020. "Effect of vehicle swiveling headlamps and highway geometric design on nighttime sight distance," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 170(C), pages 32-50.

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