毕节-泸州客运实载率数据集

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 Refinement: Calculate the load factor per trip, with the formula: Load Factor = (Actual Number of Passengers / Authorized Vehicle Seats) × 100%. Conduct aggregate analysis on the load factor per trip by route and time period (e.g., daily peak/off-peak hours), and calculate indicators such as average load factor and peak load factor.
Data Application: Set the early warning threshold for load factor, 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

该数据集由毕节交运集团客运有限责任公司创建，聚焦于毕节至泸州客运线路的实载率分析，数据规模为14KB并每日更新。它旨在通过实时监控车辆座位利用率，动态优化运力调度，提高运营效率，具体应用包括实时调整班次和长期客流规律分析。数据来源于车载终端和票务系统，通过计算单车次实载率并进行聚合处理，支持智能排班与弹性调度决策。