The invention discloses a road section delay loss estimation method based on ponding depth and traffic flow probability density. The method comprises the following steps: S1, establishing a relation model of the ponding depth and the distance of a road section; s2, drawing up a probability density function of the maximum ponding depth based on the maximum ponding depth of the road section acquired by forecasting the historical record of the same rainfall; s3, drawing up a probability density function of the road section traffic flow based on the road section traffic flow collected by forecasting the same rainfall historical record; s4, calculating the free flow speed, calculating the average vehicle speed according to the road section traffic flow, and calculating the average passing time of the vehicle under the road section water accumulation condition; and S5, calculating the average delay time of the vehicle in the ponding road section, and estimating the total traffic delay loss amount of the road section according to the average delay time and the passenger number probability distribution. According to the method, the scientific delay loss estimation model is established by comprehensively based on the uncertainty of the ponding depth, the traffic flow and the number of passengers, and an important basis is provided for prevention and treatment of traffic congestion caused by urban waterlogging ponding.
本发明公开了一种基于积水深度与交通流量概率密度的路段延误损失估算方法,包括:S1.建立路段积水深度与距离关系模型;S2.基于预报同等降雨量历史记录采集的路段最大积水深度拟定最大积水深度的概率密度函数;S3.基于预报同等降雨量历史记录采集的路段交通流量拟定路段交通流量的概率密度函数;S4.计算自由流车速,根据路段交通流量计算车辆平均车速,计算车辆在路段积水情况下的平均通行时间;S5.计算车辆在积水路段的平均延误时间,根据平均延误时间和载客人数概率分布估算路段交通延误损失总量。本发明通过综合基于积水深度、交通流量及载客人数的不确定性,建立了科学的延误损失估算模型,为城市内涝积水引发的交通拥堵防治提供了重要依据。
Road section delay loss estimation method based on ponding depth and traffic flow probability density
一种基于积水深度与交通流量概率密度的路段延误损失估算方法
2025-05-27
Patent
Electronic Resource
Chinese
IPC: | G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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