毕节-威宁客运实载率数据集

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: Obtain real-time or near-real-time data including route number, license plate number, shift time, total number of seats, actual number of sold tickets and other relevant data via on-board terminals and ticketing systems. Data Processing and Enrichment: Calculate the load factor per single trip: Load Factor = (Actual Passengers / Rated Seating Capacity of the Vehicle) × 100%. Conduct aggregate analysis on the per-trip load factor 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 load factors, combine with historical trends to predict future load conditions for specific routes and 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，专注于毕节至威宁客运线路的实载率数据，数据规模为13KB，每日更新。它通过实时监控和分析车辆座位利用率，支持动态优化运力调度，提高运营效率，并应用于历史客流规律识别和长期线路规划决策。数据集的计算方法包括基于车载终端和票务系统采集数据，计算单车次实载率并进行聚合分析，为智能排班提供模型支持。