The invention relates to the technical field of intelligent traffic prediction, in particular to a time-space correlation traffic flow prediction method based on deep learning, which comprises the following steps: S1, collecting traffic flow data and related external environment data in real time, and establishing an initial traffic network topology structure; s2, calculating the dynamic weight of each node; s3, dynamically adjusting the weight of each edge in the traffic network according to the node weight change in the S2 so as to update the topological structure of the traffic network; s4, performing feature extraction on the spatial dependency relationship among the traffic nodes, and extracting time evolution features of the traffic flow data at the same time; s5, constructing an adaptive space-time fusion model; s6, traffic flow prediction is carried out, and adaptive space-time fusion model parameters are optimized; according to the method, through dynamic fusion of the spatial-temporal characteristics and adaptive adjustment of the model parameters, the precision and real-time performance of traffic flow prediction are effectively improved, and the adaptability and generalization ability of the model in a complex dynamic traffic scene are enhanced.
本发明涉及智能交通预测技术领域,具体涉及一种基于深度学习的时空关联性交通流量预测方法,包括以下步骤:S1:实时采集交通流量数据和相关的外部环境数据,并建立初始交通网络拓扑结构;S2:计算每个节点的动态权重;S3:根据S2中的节点权重变化,动态调整交通网络中各边的权重,以更新交通网络拓扑结构;S4:对交通节点之间的空间依赖关系进行特征提取,同时提取交通流量数据的时间演化特征;S5:构建自适应时空融合模型;S6:进行交通流量预测,并优化自适应时空融合模型参数;本发明,通过动态融合时空特征并自适应调整模型参数,有效提高了交通流量预测的精度和实时性,增强了模型在复杂动态交通场景下的适应性和泛化能力。
Time-space correlation traffic flow prediction method based on deep learning
一种基于深度学习的时空关联性交通流量预测方法
2025-01-07
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES |
Traffic flow prediction method based on dynamic space-time correlation
European Patent Office | 2021
|Traffic flow prediction method and device based on space-time sequence deep learning
European Patent Office | 2023
|Urban road traffic flow prediction method and device based on space-time deep learning model
European Patent Office | 2020
|Deep learning traffic flow prediction method based on time perception hypergraph
European Patent Office | 2024
|Traffic flow prediction method based on time window division modeling dynamic space-time correlation
European Patent Office | 2024
|