《无线互联科技》杂志社

Wireless Internet Technology Magazine Agency

关键词: K均值聚类算法, 滑动窗口算法, 绿波带控制策略, 遗传算法

Abstract: In recent years, with the acceleration of urbanization, the rapid increase of the number of motor vehicles and the expansion of the scope of travel, the problems of urban road traffic congestion and insufficient parking spaces have become increasingly prominent. In this paper, the traffic flow data of an intersection with large traffic flow in a certain area is taken as an example to analyze the traffic flow of the surrounding roads, and in view of this situation, the green wave band control strategy is adopted to provide an appropriate traffic flow optimization scheme for the area to improve traffic management measures, which provides a high-quality solution to improve traffic flow.

Key words: K-means clustering algorithm, sliding window algorithm, green wave control strategy, Genetic Algorithm