The invention relates to a highway bottleneck section congestion identification method and system based on end-side cloud, and the method comprises the steps: obtaining intelligent vehicle data and roadside terminal data, and obtaining a congestion identification index data set according to the data; standardizing each piece of index data contained in the congestion identification index data set to obtain each piece of standardized index data; performing extraction processing on the index data by utilizing an interaction algorithm and an LSTM (Long Short Term Memory) algorithm to obtain a sufficient representation quantity of the congestion identification index data set; a congestion state type is determined based on a sufficient representation of the congestion identification indicator dataset. The method adapts to the characteristics of a large number of parameters and time varying in a complex traffic environment, and the accuracy of identifying the existing bottleneck road section is improved.
本专利涉及一种基于端边云的高速公路瓶颈路段拥堵辨识方法及系统,包括:获取智能车辆数据和路侧终端数据,并根据所述数据,获得拥堵辨识指标数据集;将拥堵辨识指标数据集包含的各个指标数据标准化,获得标准化的各个指标数据;将所述指标数据利用交互算法和LSTM算法提取处理,获得所述拥堵辨识指标数据集的充分表示量;基于所述拥堵辨识指标数据集的充分表示量,确定拥堵状态类型。本专利适应了复杂交通环境下参数数量多与时变的特性,提高了辨识现有瓶颈路段的准确性。
Expressway bottleneck section congestion identification method and system based on end-side cloud fusion
基于端边云融合的高速公路瓶颈路段拥堵辨识方法及系统
01.03.2022
Patent
Elektronische Ressource
Chinesisch
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