共享汽车智能调度专家系统的研究

摘要

随着共享汽车业务的发展,异地还车服务将成为共享汽车的标配服务.客服需求的不确定性决定了共享汽车的聚集效应.通过智能化的专家系统ES(Expert System)来实现共享汽车的均衡调度,对降低企业运营成本和提高企业运营效率有着非常重要的作用.迄今,在生产过程中的调度方法研究上已经取得了很多成果,其主要涉及数据建模和优化方法.基于实际运营数据和数据挖掘技术,阐述共享汽车智能调度专家系统的实现方法.%With the development of shared car business,off-site car service is becoming a standard service for shared cars.Customer service demand uncertainty determines the aggregation effect of shared vehicles.The balanced scheduling of shared cars can be realized by intelligent expert system to reduce operating costs and improve business efficiency.The scheduling approach in production process has made plenty progress so far,which mainly involves data modeling and optimization methods.In this paper,the approach of achieving shared vehicle intelligent scheduling system is elaborated based on actual operational data and data mining technology.