The invention relates to the technical field of smart city traffic management, in particular to an urban traffic jam intelligent prediction and dispersion system and a method thereof, and the system integrates a data acquisition module, a traffic prediction module, an event influence evaluation module and an intelligent dispersion module. The data acquisition module updates multi-source traffic data in real time, and a solid foundation is provided for prediction; and the traffic prediction module accurately predicts the traffic flow by using a deep learning model combining a graph neural network and a space-time attention mechanism based on the received data. The event influence evaluation module analyzes the influence of emergencies on traffic and ensures the pertinence of a dispersion strategy; the intelligent dispersion module optimizes a traffic signal lamp control scheme in real time by using deep reinforcement learning in combination with the prediction result and the event influence; the system comprehensively senses the traffic condition through multi-source heterogeneous data fusion, the traffic flow prediction accuracy is remarkably improved, and intelligent and efficient traffic management is achieved.
本发明涉及智慧城市交通管理技术领域,特别是涉及一种城市交通拥堵智能预测与疏导系统及其方法,该系统融合数据采集、交通预测、事件影响评估和智能疏导四大模块;数据采集模块实时更新多源交通数据,为预测提供坚实基础;交通预测模块基于接收数据,运用图神经网络与时空注意力机制相结合的深度学习模型,精准预测交通流量。事件影响评估模块分析突发事件对交通的影响,确保疏导策略的针对性;智能疏导模块结合预测结果和事件影响,利用深度强化学习,实时优化交通信号灯控制方案;系统通过多源异构数据融合,全面感知交通状况,显著提升交通流预测准确度,实现智能、高效的交通管理。
Urban traffic jam intelligent prediction and dispersion system and method thereof
城市交通拥堵智能预测与疏导系统及其方法
2025-05-16
Patent
Electronic Resource
Chinese
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