仪征市公交运营数据

通过安装部署的智能车载调度终端、公交客流分析仪及调度人员通过人工录入等方式采集，积累了覆盖136条公交线路、274辆公交车以及日均1万左右人次客流量的公交运营原始数据，委托方通过对原始运营数据进行清洗、去重、格式校验、筛选、整合等加工处理，并按照公交线路、站点等维度进行了分类管理，形成围绕公交运营相关的公交实时数据、历史公交站点客流、历史公交排班及调度等主题的数据集。

Raw bus operation data was collected through deployed intelligent vehicle-mounted scheduling terminals, bus passenger flow analyzers, and manual input by scheduling personnel. The dataset covers 136 bus routes, 274 operational buses, and an average daily passenger volume of approximately 10,000 person-times. The entrusting party processed the raw operation data via operations including cleaning, deduplication, format verification, screening and integration, and performed classified management based on dimensions such as bus routes and stops. Eventually, a themed dataset centered on bus operations was formed, including real-time bus data, historical passenger flow at bus stops, historical bus scheduling and dispatching records, and other relevant contents.

搜集汇总

背景与挑战

背景概述

该数据集通过智能车载终端、客流分析仪及人工录入等方式采集，覆盖仪征市136条公交线路和274辆公交车，日均处理约1万人次客流数据。数据经过清洗、去重、整合等加工，按线路和站点分类，形成公交实时数据、历史站点客流、排班调度等主题数据集，每日更新，总容量170GB。适用于交通运营分析、线路优化及客流预测等场景。