毕节-兴义客运实载率数据集

数据采集：通过车载终端、票务系统实时或准实时获取线路编号、车牌号、班次时间、总座位数、实际售票数等数据。 数据处理加工：计算单车次实载率：实载率 = 实际乘车人数 / 车辆核定座位数 × 100%。按线路、时间段（如每日高峰/平峰）对单车次实载率进行聚合分析，计算平均实载率、峰值实载率等指标。 数据应用：设定实载率预警阈值，结合历史趋势，预测未来特定线路和时段的实载情况，为智能排班与弹性调度提供模型支持。Data Collection: Real-time or near-real-time acquisition of data including route number, license plate number, shift time, total number of seats, actual number of tickets sold, etc., via on-board terminals and ticketing systems. Data Processing and Enrichment: Calculate the per-trip passenger load factor, which is defined as (actual number of passengers / rated seating capacity of the vehicle) × 100%. Conduct aggregate analysis on per-trip passenger load factors by route and time period (e.g., daily peak/off-peak hours), and compute indicators such as average load factor and peak load factor. Data Application: Set early warning thresholds for passenger load factors, combine with historical trends to predict the load status of specific routes and future time periods, and provide model support for intelligent scheduling and flexible dispatching.

搜集汇总

背景与挑战

背景概述

该数据集由毕节交运集团客运有限责任公司自行产生，聚焦于毕节至兴义客运线路的实载率数据，数据规模为14KB，每天更新。它通过车载终端和票务系统采集实时数据，计算单车次实载率并进行聚合分析，用于实时监控车辆座位利用率、优化运力调度，并基于历史数据识别客流规律，为线路规划和班次调整提供决策支持。