地铁刷卡进出站客流数据集

本数据集提供城市轨道交通各站点的刷卡进出站客流聚合信息，包括进站量、出站量、换乘量、拥挤度指数及时段分类。时间粒度支持5分钟/15分钟/小时，覆盖全部站点。不包含任何票卡明细或乘客身份信息。适用于客流规律挖掘、运力调配、拥挤预警及预测模型训练。

This dataset provides aggregated swipe-card-based entry and exit passenger flow data for all stations in urban rail transit networks. The included metrics cover entry volume, exit volume, transfer volume, congestion index, and time period classification. It supports three time granularities: 5 minutes, 15 minutes, and 1 hour, and covers all stations across the network. No individual ticket details or passenger identification information are contained in the dataset. This resource is applicable to passenger flow pattern mining, capacity allocation, congestion warning, and predictive model training.

搜集汇总

背景与挑战

背景概述

该数据集聚合了城市轨道交通各站点的刷卡进出站客流信息，涵盖进站量、出站量、换乘量和拥挤度指数等指标，时间粒度支持分钟到小时级，覆盖全部站点且不含个人身份数据。它适用于客流规律分析、运力优化、拥挤预警及预测模型训练等场景。