基于灰色理论的停车场选择方法

Selection of Parking Lots Based on the Gray Theory

开车出行已经成为城市居民的一种日常生活方式,停车问题就成为城市交通的一个新难题,为了缓解这个问题,停车者决定了出行目的以后,针对到达目的地附近的停车场便会存在一个选择停车场的问题。文章分析了影响停车的因素,充分考虑了停车者自身的偏好,提出评价指标体系,在这个基础上,应用灰色关联分析方法建立了优选模型,最后的实例显示该算法是可行的、实用的。

Traveling by car has become people＇s daily way of life and parking has become a new urban traffic problem, to solve this problem, drivers are facing the selection of the nearest parking lot after deciding their destination. This article firstly analyzes factors influencing parking, taking into consideration the drivers preferences, and proposes an evaluation index system, and on this basis, builds an optimization model by using gray correlation analysis method, which was proven feasible and practical by examples.