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METHOD FOR EXTRACTING ROAD CAPACITY BASED ON TRAFFIC BIG DATA
METHOD FOR EXTRACTING ROAD CAPACITY BASED ON TRAFFIC BIG DATA
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机译:基于交通大数据的道路通行能力提取方法
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摘要
A method for extracting road capacity based on traffic big data includes the following steps: selecting a specific traffic flow model; reading massive road lane traffic flow parameters; calibrating a model parameter of the selected traffic flow model by using the road lane traffic flow parameters read in the previous step; and fitting the calibrated model parameter to obtain a fitted traffic flow model. The present invention solves the problems that traditional methods for traffic capacity calibration have a heavy workload, inadequate samples and unreliable results due to their reliance on manual information acquisition, thereby providing support for automatic, long-term, large-scale and precise acquisition of the capacity.
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