The invention provides a traffic flow prediction method and system based on the Internet of Things, and relates to the field of traffic flow analysis, and the method comprises the steps: receiving flow prediction request information through a user side, and enabling the flow prediction request information to comprise a selected traffic road section and a flow prediction time zone; performing road section association according to the traffic selected road section to obtain an afflux road list; matching a road speed limit list according to the afflux road list; according to the road speed limit list and the flow prediction time zone, carrying out confluence range marking on the confluence road list to obtain a confluence road section list; obtaining a road density list of the afflux road section list through the Internet of Things; and performing traffic flow prediction according to the road density list to obtain a traffic flow prediction result, and returning the traffic flow prediction result to the user side. The technical problem that the traffic flow prediction precision is low because the traffic flow prediction based on the historical state cannot fit the state of the non-periodic driving automobile in the prior art is solved.
本发明提供了基于物联网的交通流量预测方法及系统,涉及交通流量分析领域,包括:通过用户端,接收流量预测请求信息,其中,所述流量预测请求信息包括交通选定路段和流量预测时区;根据所述交通选定路段进行路段关联,获得汇入道路列表;根据所述汇入道路列表,匹配道路限速列表;根据所述道路限速列表和所述流量预测时区对所述汇入道路列表进行汇入范围标记,获得汇入路段列表;通过物联网,获得所述汇入路段列表的道路密度列表;根据所述道路密度列表进行交通流量预测,获得交通流量预测结果,返回至所述用户端。解决了现有技术中由于基于历史状态进行交通流量预测,无法拟合非周期驾驶汽车的状态,导致存在流量预测精度较低的技术问题。
Traffic flow prediction method and system based on Internet of Things
一种基于物联网的交通流量预测方法及系统
2024-08-06
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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