Simulation of stochastic adaptive algorithms for embedded devices of railway safety systems

A. Levchenkov, M. Gorobetz
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Abstract

The simulation approach for assessment of adaptive algorithms based on stochastic search is described in this paper. In this research, the adaptive algorithms are used for railway safety system to improve existing braking by automatic smooth and precise braking of a train, avoiding passing the restrictive signal and prevent crashes. Simulation results are grouped for different types of trains to test the ability and efficiency of adaptive algorithms to find the solution in a wide range of conditions and situations.
铁路安全系统嵌入式设备随机自适应算法仿真
本文描述了基于随机搜索的自适应算法评估的仿真方法。本研究将自适应算法应用于铁路安全系统,通过列车自动平稳精确制动,避免通过限制性信号,防止碰撞,从而改善现有制动。对不同类型列车的仿真结果进行分组,以测试自适应算法在各种条件和情况下寻找解的能力和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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