The invention discloses a road section main line toll station exit traffic jam prediction method and system, and the method comprises the following steps: S1, building a historical sample storage library according to the historical data of a toll station; s2, collecting real-time traffic data of a main line toll station, carrying out data loading preprocessing, and generating traffic information of a current time slice; s3, performing comparative analysis on the current time slice and time slices in a historical sample storage library to obtain traffic vectors Knext of the next time interval corresponding to K time slices of which the similarity ranks in the top; and S4, dividing the traffic vector Knext into a congestion set and an unobstructed set, and judging whether congestion occurs or not according to the quantitative relationship between the congestion set and the unobstructed set. According to the invention, based on high-quality highway networking toll data, short-time prediction and early warning of the toll section exit of the exit main line can be realized.
本发明公开了一种路段主线收费站出口交通拥堵预测方法及系统,包括如下步骤:S1:根据收费站历史数据,构建历史样本存储库;S2:采集主线收费站交通实时数据,并进行数据加载预处理,生成当前时间片交通信息;S3:将当前时间片与历史样本存储库中的时间片进行比对分析,得到相似度排名靠前的K个时间片分别对应的下一时间间隔的交通向量Knext;S4:将交通向量Knext划分为拥堵集合和通畅集合,根据拥堵集合和通畅集合的数量关系,判断是否拥堵。本发明基于高质量的高速公路联网收费数据,可实现出口主线收费区间出口短时预测、预警。
Road section main line toll station exit traffic jam prediction method and system
一种路段主线收费站出口交通拥堵预测方法及系统
2023-09-19
Patent
Electronic Resource
Chinese
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