The invention provides a traffic state prediction method and system based on the Internet of Things, and relates to the field of traffic state prediction, and the method comprises the steps: obtaining a first time domain feature of a first traffic intersection for data mining, and obtaining first traffic state record data; performing discreteness analysis on the first traffic record data to obtain a first state fluctuation coefficient; when the first state fluctuation coefficient is smaller than or equal to a fluctuation coefficient threshold value, performing centralized value evaluation on the first traffic state record data to obtain a first traffic state prediction result; when the first state fluctuation coefficient is greater than the fluctuation coefficient threshold value, obtaining first intersection road section state information of the first traffic intersection based on the Internet of Things; and inputting the state information of the first intersection road section into a traffic state prediction model to obtain a second traffic state prediction result. The technical problem that the application range is not wide due to the fact that traffic state prediction cannot be carried out on a road section with high mobility is solved.
本发明提供了基于物联网的交通状态预测方法及系统,涉及交通状态预测领域,包括:获取第一交通路口的第一时域特征进行数据挖掘,获取第一交通状态记录数据;对第一交通记录数据进行离散性分析,获取第一状态波动系数;当第一状态波动系数小于或等于波动系数阈值,对第一交通状态记录数据进行集中值评价,获取第一交通状态预测结果;当第一状态波动系数大于所述波动系数阈值,基于物联网,获取所述第一交通路口的第一交汇路段状态信息;将第一交汇路段状态信息输入交通状态预测模型,获取第二交通状态预测结果。解决由于无法对于流动性较强的路段进行交通状态预测,导致存在适应范围不广的技术问题。
Traffic state prediction method and system based on Internet of Things
基于物联网的交通状态预测方法及系统
2024-06-11
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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