The embodiment of the invention provides an urban road network multi-region macroscopic fundamental diagram estimation method based on license plate recognition data, and belongs to the technical field of data processing, and the method specifically comprises the steps: 1, obtaining sparse license plate recognition data and geographic coordinate information corresponding to the sparse license plate recognition data; 2, preprocessing the sparse license plate recognition data according to the geographic coordinate information to obtain whole road network data; 3, dividing the whole road network data based on the congestion degree measurement of each road section in the whole road network data to obtain sub-regions meeting a division target, and forming an optimal division result; and step 4, estimating a macroscopic fundamental diagram in each sub-region based on the license plate recognition data and the optimal division result. Through the scheme disclosed by the invention, the estimation accuracy and adaptability are improved.
本公开实施例中提供了一种基于车牌识别数据的城市路网多区域宏观基本图估计方法,属于数据处理技术领域,具体包括:步骤1,获取稀疏车牌识别数据及其对应的地理坐标信息;步骤2,根据地理坐标信息对稀疏车牌识别数据进行预处理操作,得到全路网数据;步骤3,基于全路网数据中每个路段的拥堵程度度量对全路网数据进行划分,得到满足划分目标的子区域,形成最优划分结果;步骤4,基于车牌识别数据和最优划分结果估计每个子区域内部的宏观基本图。通过本公开的方案,提高了估计精准度和适应性。
Urban road network multi-region macroscopic fundamental diagram estimation method based on license plate recognition data
基于车牌识别数据的城市路网多区域宏观基本图估计方法
2024-01-05
Patent
Electronic Resource
Chinese
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