The invention relates to a traffic flow prediction optimization method based on an intelligent optimization algorithm, which is applied to the technical field of traffic flow prediction. The system comprises a multi-modal data acquisition and fusion module, a hybrid deep learning prediction module, an intelligent parameter optimization module, an integrated learning module, a multi-scale error correction module, a prediction result analysis and visualization module, a distributed learning and privacy protection module and the like. Wherein the hybrid deep learning prediction module adopts an attention mechanism to fuse models such as CNN, Transform and LSTM, and introduces an adaptive error correction mechanism, so that the prediction precision is remarkably improved; the intelligent parameter optimization module accelerates the model search efficiency by using technologies such as quantum computing and swarm intelligence optimization; the integrated learning module and the adversarial training strategy enhance the robustness and generalization of the model; and the multi-scale error correction module adopts a time sequence decomposition and self-adaptive online learning method to improve the accuracy of long-term and short-term prediction.
本发明涉及应用于车流量预测技术领域的一种基于智能优化算法的交通车流量预测优化方法,该系统包括多模态数据采集与融合模块、混合深度学习预测模块、智能参数优化模块、集成学习模块、多尺度误差修正模块、预测结果分析与可视化模块以及分布式学习与隐私保护模块等。其中,混合深度学习预测模块采用注意力机制融合CNN、Transformer、LSTM等模型,并引入自适应误差修正机制,显著提高预测精度;智能参数优化模块利用量子计算、群智能优化等技术加速模型搜索效率;集成学习模块和对抗训练策略增强模型鲁棒性和泛化性;多尺度误差修正模块采用时间序列分解和自适应在线学习方法,提高长短期预测准确性。
Traffic flow prediction optimization method based on intelligent optimization algorithm
一种基于智能优化算法的交通车流量预测优化方法
2025-03-11
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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