The invention provides a tunnel traffic flow and accident prediction model, and relates to the technical field of tunnel traffic. The tunnel traffic flow and accident prediction model comprises a multi-sensor data acquisition module, a traffic data source, a weather data source, a social media data source, a road network data source and a data integration platform. The multi-sensor data acquisition module is used for acquiring real-time monitoring data of the radar, the laser radar, the camera and the sound sensor, the traffic data source is used for acquiring historical traffic flow data, vehicle speed data, accident records and traffic event reports, and the weather data source is used for acquiring weather forecast and real-time weather data. The method has the advantages of multi-modal data fusion, real-time data updating, high accuracy, strong robustness, multi-task learning, edge calculation support and data security protection, and is higher in accuracy.
本发明提供一种隧道交通流量及事故预测模型,涉及隧道交通技术领域。该隧道交通流量及事故预测模型,包括多传感器数据采集模块、交通数据源、天气数据源、社交媒体数据源、路网数据源、数据集成平台;多传感器数据采集模块用于获取雷达、激光雷达、摄像头、声音传感器实时监测数据,交通数据源用于获取历史交通流量数据、车辆速度数据、事故记录、交通事件报告,天气数据源用于获取天气预报和实时天气数据。本发明具备多模态数据融合、实时数据更新、高度准确和鲁棒性强、多任务学习、边缘计算支持和数据安全保护优点,准确性更高。
Tunnel traffic flow and accident prediction model
一种隧道交通流量及事故预测模型
2025-03-07
Patent
Electronic Resource
Chinese
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