GATSF: Genetic algorithm to save fuel

V. C. Magaña, M. M. Organero
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引用次数: 2

Abstract

This paper proposes the use of a genetic algorithm to obtain the optimal speed for each section of a trip. The aim is to reduce fuel consumption while not significantly increasing the required travel time. The speed limit indicated on traffic signals is not always the most appropriate for safety and fuel savings because it is static. However, the appropriate speed is a dynamic value that should be changed depending on traffic density and weather conditions. The proposed algorithm provides the optimal speed for fuel saving given the current state of the environment where the vehicle travels and improving safety.
GATSF:遗传算法节省燃料
本文提出了一种遗传算法,以获得每段行程的最优速度。其目的是在不显著增加所需行驶时间的情况下减少燃料消耗。交通信号灯上显示的限速并不总是最适合安全和节省燃料的,因为它是静态的。然而,适当的速度是一个动态值,应该根据交通密度和天气条件而改变。该算法在给定车辆行驶环境的当前状态下,提供最优的节油速度,提高安全性。
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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