一种基于公开信息的停车场推荐算法

A parking lot recommendation algorithm based on public information

摘要: 为解决城市级诱导系统在车位信息采集方面的不足,提出了一种parking rank的停车场推荐算法。该算法通过借鉴PageRank算法的基本思想,根据停车场自身的公开信息,比如车位数量、收费标准、服务类型,通过提出的算法进行量化和计算,将得分最高的停车场向用户推荐。仿真实验验证了算法的可行性。

Abstract: To solve the shortage of information collection in the parking space of the urban grade induction system, a parking lot ranking algorithm named parking rank is proposed.The algorithm is based on the basic ideas of the PageRank algorithm.Based on the public information of the parking lot, such as total space, price, service scope, the score of each parking lot is calculated by the algorithm.The highest ranking parking lot is to be recommended to the user.Finally, the feasibility of the algorithm is verified by experimental simulation.