The invention discloses a vehicle track prediction method and device based on road ETC data, and relates to the technical field of intelligent traffic data analysis. According to the invention, based on the Word2Vec model, the ETC gantry sequence in each vehicle historical trajectory in the ETC data is trained, and the embedded vector is generated, so that the time sequence and space information can be processed at the same time in the construction process of the embedded vector, and the ETC data and the relationship between the ETC data and the vehicle operation are fully mined. Meanwhile, the multi-layer bidirectional LSTM model can capture forward and backward dependencies in a vehicle driving track at the same time by combining a reverse information flow, and the learning ability of a complex dynamic mode in long time sequence data is remarkably enhanced. Finally, the accuracy of the vehicle track prediction method based on the road ETC data in the embodiment of the invention is improved.
本发明公开了一种基于道路ETC数据的车辆轨迹预测方法及装置,涉及智能交通数据分析技术领域。本发明基于Word2Vec模型,对ETC数据中每个车辆历史轨迹中的ETC门架序列进行训练,生成嵌入向量,使得在嵌入向量的构建过程中能够同时处理时序和空间信息,充分挖掘了挖掘ETC数据以及ETC数据与车辆运行之间的关系。同时,本发明的多层双向LSTM模型,通过结合反向信息流,能够同时捕捉车辆行驶轨迹中的前向和后向依赖,显著增强了对长时序数据中复杂动态模式的学习能力。最终使得本发明实施例的基于道路ETC数据的车辆轨迹预测方法对车辆轨迹预测的准确性得到提高。
Vehicle track prediction method and device based on road ETC data
一种基于道路ETC数据的车辆轨迹预测方法及装置
2025-04-11
Patent
Electronic Resource
Chinese
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung |
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