智能客流预测与调度分析模型

基于历史客流、活动规模等数据，采用LSTM模型预测客流量；设置承载能力阈值触发限流通知；根据预测结果生成服务频次调度表；客流数据匿名化处理，不关联个人信息。

Utilizing data such as historical passenger flow and event scale, the LSTM model is applied to predict passenger flow. Carrying capacity thresholds are set to trigger passenger flow restriction notifications, service frequency scheduling tables are generated based on the prediction results, and all passenger flow data is anonymized with no linkage to personal information.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于景区客流预测与资源调度的模型，数据规模为39.45G，每日更新。应用场景包括景区资源调配、客流预警与限流，以及服务动态安排，采用LSTM模型进行预测并对数据匿名化处理。