The invention provides a road traffic flow acquisition method based on a data model, and the method comprises the steps: dividing a city space into equilateral city grids, superposing a road network with the city grids, and obtaining a grid road network; all road sections covered by all actual travel paths between any two city grid ODs and the time when a floating car passes through any road section are identified based on 24-hour running of a city all day; establishing a data model, and calculating the probability that traveling vehicles among ODs of any urban grid are distributed to a specific road section in a specific time slice; based on the mobile phone signaling data and the survey data, the actual total travel amount of the cars between any city grid OD is obtained; and summing the flow distributed by all urban grid ODs on the specific road section to obtain the total flow of each road section in the specific time slice. The method can identify the distribution condition of the traffic flow on different road sections on the path as time goes on, and can obtain the road section flow at more accurate time.
本发明提供的一种基于数据模型的道路交通流量获取方法,包括:将城市空间划分为等边城市格网,将道路网与城市格网叠加,获得格网化道路网;基于城市全天24小时运行的,识别任意两个城市格网OD间所有实际出行路径覆盖的所有道路路段、以及浮动车经过任意路段的时间;建立数据模型,计算任意城市格网OD间的出行车辆在特定的时间切片分配到特定路段的概率;基于手机信令数据及调查数据获取任意城市格网OD之间的小汽车的实际出行总量;对特定路段上所有城市格网OD分配的流量求和,获得各路段在特定时间切片的总流量。能够识别随着时间推移、交通流在路径上不同路段的分布情况,能够获得更精准时间下的路段流量。
Road traffic flow acquisition method based on data model
一种基于数据模型的道路交通流量获取方法
2024-05-24
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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