毕节-镇雄客运实载率数据集

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 quasi-real-time data including route number, license plate number, scheduled shift time, total rated seating capacity, actual number of tickets sold and other relevant data are collected via on-board terminals and ticketing systems.
Data Processing: Calculate the per-shift load factor, which is defined as (actual number of passengers / vehicle rated seating capacity) × 100%. Conduct aggregated analysis of per-shift load factors by route and time period (e.g., daily peak/off-peak hours) to derive metrics 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, providing model support for intelligent scheduling and flexible dispatching.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于毕节至镇雄客运线路的实载率信息，由客运公司自行采集，每日更新，数据规模为18KB。它主要用于实时监控车辆座位利用率和分析历史客流规律，以优化运力调度、班次安排和长期线路规划，从而提高客运运营效率。数据集通过计算单车次实载率并提供聚合指标，为智能排班和弹性调度提供数据支持。