摘要
分析了一种基于动态区间历史数据预测的车辆管理系统设计方案,包括新增预约处理模块、数据分析模块、预约记录保存模块。所提出的动态确定超订计算区间并根据历史数据预测确定合理超订比例的方法及系统,尽可能地保证了超订的需求得到满足,从而提高整体车辆出租率,可以极大地提升车辆管理租赁业务的整体经营业绩。
The paper provided a design scheme of automobile rental overbooking management system based on dynamic interval historical data prediction, including new reservation processing module, data analysis module and reservation record storage module. The method and system of determining the overbooking interval dynamically and predicting reasonable overbooking ratio based on historical data proposed in the paper, ensuring the overbooking demand is satisfied as far as possible, thus improves the overall vehicle rental rate, and can greatly improve the overall operating performance of the car management rental business.
出处
《信息技术与标准化》
2019年第3期40-42,共3页
Information Technology & Standardization
关键词
动态区间
历史数据
预测
车辆管理
dynamic interval
historical data
prediction
automobile management
