基于模糊逻辑的电动汽车数据更新时间改进

Settha Tangkawanit, Krisana Wataniyanon, S. Kanprachar
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引用次数: 2

摘要

电动汽车是目前公共交通工具的一种,主要用于地方之间的公共交通。电动汽车到达时间难以预测的问题,可以通过在公交车站设置显示车辆到达时间的显示器来解决。但是,关于到达时间的信息必须在公交车站频繁更新,导致服务器和公交车站之间传输大量数据。为了减少数据量,必须自适应地改变更新时间。结果表明,采用模糊逻辑确定更新时间,在保证定时误差在可接受范围内的情况下,可以减少一半的数据传输量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improvement of electric vehicle data updating time using Fuzzy logic
Electric Vehicle is currently a type of vehicles available in public which is used for mass transportation between places. Unpredictable arrival time of the electric vehicle is a problem that can be overcome by having a display showing the incoming time of the vehicle at the bus stop. However, the information about the arrival time has to be updated frequently at the bus stop, resulting in a large amount of data transfer between the server and the bus stop. To reduce the amount of data the updating time has to be varied adaptively. It is shown that using Fuzzy logic for determining the updating time, a half of data transferred can be reduced while keeping the timing error in the acceptable range.
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