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。
To solve the shortage of information collection in the parking space of the urban grade induction system,aparking 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.
作者
陈名松
董适
周信玲
王伟光
毛维
CHEN Mingsong;DONG Shi;ZHOU Xinling;WANG Weiguang;MAO Wei(School of Information and Communication Engineering,Ouilin University of Electronic Technology,Ouilin 541004,China)
出处
《桂林电子科技大学学报》
2018年第3期173-177,共5页
Journal of Guilin University of Electronic Technology
基金
国家自然科学基金(61561014)
桂林电子科技大学研究生教育创新计划(2018YJCX29)
关键词
停车场推荐算法
停车信息挖掘
公开信息
停车诱导系统
图计算
parking lots recommendation algorithm
digging parking data
public inform ation
parking guidance system
graph calculation
