基于q -学习算法污染度量分析的车辆导航系统

B. Vivekanandam, Balaganesh
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引用次数: 0

摘要

本场景中可用的导航系统考虑了路径距离的估计。在一些先进的导航系统中,算法中还考虑了道路交通分析来进行预测。建议的工作是根据目前道路上的污染程度估计一条导航路线。这项工作提出了一条替代路径,以避免更多的车辆进入已经受到空气污染影响的同一条道路。在本文提出的工作中,使用自制的估计数据集训练了Q-learning(质量学习)预测算法。本文的实验工作探讨了所开发算法与传统算法相比的精度和计算速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vehicle Navigation System based on Pollution Metric Analysis with Q-Learning Algorithm
The navigation systems available in the present scenario takes into account the path distance for their estimations. In some advanced navigation systems, the road traffic analysis is also considered in the algorithm for their predictions. The proposed work estimates a navigation path with respect to the present pollution level on the roadways. The work suggests an alternate path to avoid additional vehicles to enter the same road which is already impacted by air pollution. A Q-learning (Quality learning) prediction algorithm is trained in the proposed work with a self-made dataset for the estimations. The experimental work presented in the paper explores the accuracy and computational speed of the developed algorithm in comparison to the traditional algorithms.
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