The invention discloses an expressway digital twinborn dynamic construction method, which relates to the technical field of traffic, acquires and preprocesses multi-dimensional data of an expressway system, and constructs a traffic flow model of an expressway based on a deep learning technology and in combination with the multi-dimensional data of the expressway system. The method comprises the steps of mapping multi-dimensional data, collected in real time, of an expressway system to a traffic flow model, dynamically updating a traffic state in the traffic flow model, performing short-term traffic flow prediction by using the traffic flow model, simulating influences when different traffic events occur, and analyzing existing risks. According to the method, the valuable traffic information is extracted from the mass data by capturing and analyzing the traffic flow data in real time and utilizing the machine learning and data mining technology, so that the digital twinborn body can accurately predict the future traffic flow and provide a decision-making basis, the occurrence of traffic congestion and accidents is reduced, and the traffic flow prediction efficiency is improved. And the traffic capacity and the safety of the expressway are improved.
本发明公开了一种高速公路数字孪生体动态构建方法,涉及交通技术领域,获取高速公路系统的多维度数据并进行预处理,基于深度学习技术,结合高速公路系统的多维度数据构建高速公路的交通流模型,将实时采集的高速公路系统多维度数据映射到交通流模型上,动态更新交通流模型中的交通状态,利用交通流模型,进行短期交通流预测,并模拟不同交通事件发生时的影响,分析存在的风险。本发明通过实时捕捉和分析交通流量数据,利用机器学习和数据挖掘技术,从海量数据中提取出有价值的交通信息,使得数字孪生体能够准确预测未来的交通流量,提供决策依据,有助于减少交通拥堵和事故的发生,提高高速公路的通行能力和安全性。
Dynamic construction method for digital twinborn bodies of expressway
一种高速公路数字孪生体动态构建方法
2025-03-25
Patent
Electronic Resource
Chinese
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