The invention discloses a complex traffic system dynamic deduction optimization method based on digital twinning, and the method comprises the steps: 1, obtaining the environment data of an urban road network, and building an urban road network digital twinning model based on the data; 2, dividing the traffic road network environment of the whole city into orthogonal intervals with equal length in each dimension, and constructing a traffic inflow flow model based on the characteristics of a road network structure; 3, dividing the traffic flow into a plurality of subsets based on a traffic flow model; 4, constructing a global evolution model, and establishing a global situation deduction formula based on probability parameters, influence factors and weight parameters; 5, defining a traffic situation cost loss function, and continuously deducing and iterating to obtain an optimal result; and step 6, proposing an optimization mode of the traffic state. According to the method, the local mechanism model is used, the global evolution model is combined, traffic flow distribution is accurately predicted and optimized, the overall operation efficiency of a road network is improved, and the vehicle driving time is optimized.
本发明公开了基于数字孪生的复杂交通系统动态推演优化方法,该方法包括:步骤1:获取城市路网的环境数据,基于这些数据建立城市路网数字孪生模型;步骤2:将整个城市的交通路网环境划分成每一维分成长度相等的正交区间,基于路网结构的特点构建交通流入流量模型;步骤3:基于交通流量模型,将车流量划分为多个子集;步骤4:构建全局演化模型,建立以概率参数、影响因素以及权重参数的全局态势推演公式;步骤5:定义一个交通态势代价损失函数,不断推演迭代,得到最优的结果;步骤6:提出交通状态的优化方式。本发明使用局部机理模型,并结合全局演化模型,准确预测和优化交通流量分配,提高路网整体运行效率,以及优化车辆行驶时间。
Dynamic deduction optimization method for complex traffic system based on digital twinning
基于数字孪生的复杂交通系统动态推演优化方法
2024-10-11
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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