基于模糊减法聚类的出租车合乘业务方案设计

Design of Taxi Mixing Business Plan Based on Fuzzy Subtractive Clustering

运用模糊减法聚类算法对出租车合乘业务方案进行设计。乘客初末位置以核心区域为准则进行内集和外集的划分,对内集中的乘客选择离核心区域最近的空驰出租车选择3人合乘匹配的方案,外集中的乘客对其初末位置进行合乘适用度匹配之后选择2人合乘或1人合乘的方案,对不同的合乘方案分别设计相应的计费标准。结果表明,该方案不但能减少乘客的出行费用,也能增加出租车司机的收入。

The fuzzy subtraction clustering algorithm is used to design the taxi busning business plan. The passengers’ initial position is divided into inner and outer sets based on the core area. The inner passengers choose the closest air-conditioned taxi from the core area to select a three-person matching plan. After the location is matched and the fitness is matched, the scheme of selecting two people or one person is selected, and the corresponding charging standards are respectively designed for different multiplication schemes. The results show that the program can not only reduce passenger travel expenses, but also increase the income of taxi drivers.