Hangzhou-Metro

该数据集是从2019年某个月内杭州市地铁系统中收集的人群流动移动数据集，包含了超过7000万条以秒为级别的乘客记录。此外，数据已被处理，以每10分钟的时间间隔表示81个地铁站的进站和出站流量。规模上，该数据集拥有超过7000万条乘客记录，其任务是对交通流量进行预测。

This dataset is a passenger flow mobility dataset collected from the Hangzhou Metro system during a specific month in 2019, containing over 70 million second-level passenger records. Furthermore, the data has been preprocessed to represent the inbound and outbound traffic flows of 81 subway stations at 10-minute intervals. In terms of scale, this dataset has over 70 million passenger records, and its targeted task is traffic flow prediction.

搜集汇总

背景与挑战

背景概述

Hangzhou-Metro数据集包含杭州地铁2019年1月的刷卡记录和路网地图信息，用于预测地铁站点未来客流量。数据集规模庞大，涉及3条线路81个站点约7000万条数据，适合进行时间序列预测和交通流量分析。