毕节-贵阳客运实载率数据集

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 data including route number, license plate number, shift time, total seats, actual number of tickets sold and other relevant information in real-time or near real-time via on-board terminals and ticketing systems. Data Processing and Enrichment: Calculate the load factor per trip: Load Factor = (Actual Number of Passengers / Rated Number of Vehicle Seats) × 100%. Perform aggregate analysis on the load factor of each trip based on 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 forecast 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贵阳客运线路的实载率，数据规模为9737KB，每日更新。它通过实时监控和分析车辆座位利用率，动态优化运力投放，提高运营效率；同时利用历史数据识别客流规律，为线路规划和班次调整提供决策依据。数据来源于车载终端和票务系统，经过计算和聚合处理，支持智能调度和预测模型。