毕节-遵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: Acquire real-time or near-real-time data including route number, license plate number, shift time, total seating capacity, actual number of sold tickets and other related data via on-board terminals and ticketing systems. Data Processing and Refinement: Calculate the per-trip load factor, which is defined as (actual number of passengers / rated seating capacity of the vehicle) × 100%. Conduct aggregated analysis on per-trip 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 load factors, combine with historical trends to predict the load status of specific routes and time periods in the future, and provide model support for intelligent scheduling and flexible dispatching.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于毕节至遵义客运线路的实载率分析，由毕节交运集团客运有限责任公司基于车载终端和票务系统自行产生，每日更新，数据规模为19KB。它通过计算单车次实载率（实际乘车人数与核定座位数的百分比），支持实时监控和动态优化运力投放，例如根据实载率高低调整班次，并分析历史数据以识别客流规律，为线路规划和智能调度提供决策依据。