毕节-金沙客运实载率数据集

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 rated seating capacity, actual number of sold tickets and other relevant data via on-board terminals and ticketing systems. Data Processing and Refinement: Calculate the per-shift load rate with the formula: Load Rate = (Actual Boarded Passengers / Rated Seating Capacity of the Vehicle) × 100%. Conduct aggregated analysis of per-shift load rates by route and time period (e.g., daily peak/off-peak hours), and calculate indicators such as average load rate and peak load rate. Data Application: Set early warning thresholds for load rates, predict future load conditions for specific routes and time periods by combining historical trends, 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，聚焦于毕节至金沙客运线路的实载率数据，数据规模为22KB，每日更新。它主要用于实时监控客运车辆的座位利用率，通过分析实载率动态优化运力投放，提高运营效率，同时支持历史数据分析以识别客流规律，为线路规划和班次调整提供决策依据。数据采集自车载终端和票务系统，通过计算单车次实载率并进行聚合分析，应用于智能排班和弹性调度模型。