The invention discloses a traffic jam time prediction method and device, electronic equipment and a storage medium. The traffic jam time prediction method comprises the following steps: acquiring current environment state information; determining current instant return information corresponding to the current environment state information; and training a to-be-trained traffic jam time prediction model based on the current environment state information and the current instant return information to obtain a trained traffic jam time prediction model, the trained traffic jam time prediction model being used for predicting traffic jam time. According to the technical scheme, the current instant return information corresponding to the current environment state information is determined through the current environment state information, and the to-be-trained traffic jam time prediction model is trained in combination with the current environment state information and the current instant return information, so that the training credibility of the traffic jam time prediction model is improved; and the sensitivity of the traffic jam time prediction process to the current environment change is improved.
本发明公开了一种交通拥堵时间预测方法、装置、电子设备及存储介质。所述交通拥堵时间预测方法,包括:获取当前环境状态信息;确定所述当前环境状态信息所对应的当前即时回报信息;基于所述当前环境状态信息和所述当前即时回报信息对待训练的交通拥堵时间预测模型进行训练,得到训练后的交通拥堵时间预测模型,所述训练后的交通拥堵时间预测模型用于预测交通拥堵时间。上述技术方案通过当前环境状态信息确定当前环境状态信息所对应的当前即时回报信息,并结合当前环境状态信息和当前即时回报信息对待训练的交通拥堵时间预测模型进行训练,提高了交通拥堵时间预测模型训练的可信度,进而提高了交通拥堵时间预测过程对当前环境变化的敏感度。
Traffic jam time prediction method and device, electronic equipment and storage medium
一种交通拥堵时间预测方法、装置、电子设备及存储介质
2023-06-23
Patent
Electronic Resource
Chinese
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