Two-dimensional road shape optimisation using genetic algorithms

被引：6
|
作者：
Liatsis, P [1 ]
Tawfik, HM [1 ]
机构：
[1] Univ Manchester, Inst Sci & Technol, Dept Elect Engn & Elect, Control Syst Ctr,Intelligent Syst & Sensing Lab, Manchester M60 1QD, Lancs, England
来源：
MATHEMATICS AND COMPUTERS IN SIMULATION | 1999年 / 51卷 / 1-2期
基金：
英国工程与自然科学研究理事会;
关键词：
road simulation environment; road modelling; horizontal road alignment; genetic algorithms;
D O I：
10.1016/S0378-4754(99)00092-0
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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. (C) 1999 IMACS/Elsevier Science B.V. All rights reserved.
引用
收藏
页码：19 / 31
页数：13
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