The invention relates to the field of traffic transportation, and discloses a traffic transportation scheduling method based on visual identification, comprising the following steps: installing camera devices at a plurality of traffic nodes for collecting traffic flow image data in real time; preprocessing the image data, wherein the preprocessing comprises image denoising, resolution adjustment and lane area division; vehicle detection and classification are carried out on the image data through a deep learning model, and the position, the speed, the driving direction and the vehicle type of the vehicle are identified; performing cross-frame tracking on the detected vehicles by using a multi-target tracking algorithm to generate a real-time trajectory of each vehicle; and predicting the future traffic flow based on the long and short-term memory network model, and generating a flow change trend in a future period of time. Through visual identification and real-time flow prediction, the system can identify traffic jam points in advance and make an intelligent scheduling decision, thereby effectively reducing traffic jam and improving vehicle passing efficiency.
本申请涉及交通运输领域,公开了一种基于视觉识别的交通运输调度方法,包括以下步骤:在多个交通节点处安装摄像设备,用于实时采集交通流量图像数据;对所述图像数据进行预处理,包括图像去噪、分辨率调整和车道区域划分;通过深度学习模型对所述图像数据进行车辆检测与分类,识别车辆的位置、速度、行驶方向以及车辆种类;利用多目标追踪算法对检测到的车辆进行跨帧跟踪,生成每辆车的实时轨迹;基于长短期记忆网络模型对未来的交通流量进行预测,生成未来一段时间内的流量变化趋势。通过视觉识别和实时流量预测,系统能够提前识别交通拥堵点,并做出智能调度决策,有效减少交通拥堵,提高车辆通行效率。
Traffic transportation scheduling method based on visual identification
一种基于视觉识别的交通运输调度方法
2025-02-11
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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