The invention relates to the technical field of intelligent traffic, in particular to an emergency vehicle priority scheduling method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining road network features and emergency vehicle features; inputting the road network features and the emergency vehicle features into a preset graph convolutional network, and performing attention weight distribution on nodes corresponding to each road intersection by using a hard attention mechanism in the graph convolutional network to obtain target features output by the graph convolutional network; according to the target characteristics, traffic flow prediction is carried out to obtain a traffic flow prediction result and time required for the emergency vehicle to pass through the road intersection; obtaining a target strategy according to the traffic flow prediction result, the time required for the emergency vehicle to pass through the road intersection and a preset signal lamp control strategy; and performing signal lamp control based on the target strategy. According to the method, the future traffic flow can be accurately predicted, and the priority passing of the emergency vehicle can be well ensured.
本发明涉及智能交通技术领域,尤其涉及一种紧急车辆优先调度方法、系统、电子设备及存储介质,该方法包括:获取道路网络特征和紧急车辆特征;将道路网络特征和紧急车辆特征输入预设的图卷积网络,以利用图卷积网络中的硬注意力机制,对每个道路路口所对应的节点进行注意力权重分配,得到图卷积网络输出的目标特征;根据目标特征,进行交通流量预测,得到交通流量预测结果和紧急车辆通过道路路口所需的时间;根据交通流量预测结果、紧急车辆通过道路路口所需的时间,以及预设的信号灯控制策略,得到目标策略;基于目标策略,进行信号灯控制;该方法能够实现对未来的交通流量的精准预测,且能够较好地保证紧急车辆的优先通行。
Emergency vehicle priority scheduling method and system, electronic equipment and storage medium
紧急车辆优先调度方法、系统、电子设备及存储介质
2024-12-27
Patent
Electronic Resource
Chinese
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