The invention discloses an urban road ponding intelligent identification method based on a traffic flow basic graph, and belongs to the technical field of urban waterlogging prevention. The problems that in the prior art, misjudgment is likely to happen, the judgment period is too long, and the real-time performance is not high are solved. The method is characterized in that traffic big data and meteorological data are fused to realize real-time identification of ponding, and dependence on high-cost detection equipment is eliminated; directed at the characteristic that ponding affects road traffic capacity, a traffic flow basic graph tool is introduced, so that a congestion diffusion road section caused by ponding is prevented from being identified as a ponding road section so as to reducemisjudgment; the statistical period of each traffic flow parameter used for identifying ponding is 5 minutes, and compared with a statistical period of 30 minutes of the existing method, the influence of ponding can be more sensitively reflected, and the time for identifying ponding is shortened. The method is used for urban waterlogging prevention and ponding identification.
一种基于交通流基本图的城市道路积水智能识别方法,属于城市防涝技术领域。解决了现有技术中存在的易出现误判,且判别周期过长,实时性不强的问题。要点:本发明融合了交通大数据以及气象数据实现了对积水的实时识别,摆脱了对高成本检测设备的依赖;针对积水影响的是道路通行能力这一特征,引入了交通流基本图工具,避免识别积水导致的拥堵扩散路段为积水路段以减少误判;用以识别积水的各项交通流参数统计周期为5分钟,相比现有方法30分钟的统计周期能够更加敏感地反映积水的影响,缩短积水被识别到的时间。本发明用于城市防涝积水识别。
Urban road ponding intelligent identification method based on traffic flow basic graph
一种基于交通流基本图的城市道路积水智能识别方法
2020-10-23
Patent
Electronic Resource
Chinese
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