基于数据驱动的机场出租车返程方式预测模型

A Data-driven Airport Taxi Return Prediction Model

在上海强生公司出租车GPS数据的基础上进行分析处理,提出了一种基于AHP方法的简化机场出租车返程方式预测模型。创新之处在于使用K-means聚类简化出租车平均收益计算过程,并使用出走空车比表征实际情况对模型进行验证,以简化模型增强可用性。

Based on the GPS data of Shanghai Qiangsheng's taxi,this paper proposes a simplified model of airport taxi return mode based on AHP method.The innovation lies in the use of K-means clustering to simplify the calculation process of the average income of the taxi,and to verify the model by using the emptying vehicle to verify the model to simplify the model.