The invention provides a traffic flow prediction method and device based on a time sequence, electronic equipment and a medium, and relates to the field of prediction. The method comprises the following steps: acquiring identification data of a vehicle in a target area of a radar in a historical time period; removing abnormal data in the identification data to obtain target identification data in a historical time period; predicting the target identification data by adopting a trained traffic flow prediction model to obtain a target traffic flow in a future time period; and if the target traffic flow exceeds the early warning threshold value, sending alarm information including the target traffic flow. According to the method, abnormal data can be accurately eliminated, and then long-time series (future time period) data are predicted to obtain an accurate prediction result; and the prediction result is processed by setting the dynamic early warning threshold value, so that the sensitivity of the early warning threshold value to the change data is improved, and the possibility of false alarm is effectively reduced.
本申请提供的一种基于时间序列的车流量预测方法、装置、电子设备及介质,涉及预测领域;该方法包括获取雷达在历史时间段中目标区域内车辆的识别数据;剔除识别数据中的异常数据,得到历史时间段内的目标识别数据;采用训练好的车流量预测模型,对目标识别数据进行预测,得到未来时间段的目标车流量;若目标车流量超出预警阈值,则发出包括述目标车流量的告警信息。该方法能够对异常数据进行准确的剔除,之后对长时间序列(未来时间段)的数据进行预测,得到精准的预测结果;以及通过设置动态的预警阈值对预测结果进行处理,提高了预警阈值对变化数据的敏感性,有效的降低了误报警的可能性。
Traffic flow prediction method and device based on time sequence, electronic equipment and medium
基于时间序列的车流量预测方法、装置、电子设备及介质
2024-03-26
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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