摘要
由于当前汽车保有量过大,停车位不能满足日益增长的停车需求,为了降低车主寻找停车位的难度,停车需求预测成为了近年来研究的热点问题。介绍了目前几种常见的停车需求预测模型,提出停车需求预测中存在的难点,最后提出在停车需求预测中采用人工智能的创新应用。
The growing demand for parking spaces has become a considerably serious problem in people's daily life due to the fact that it's easier than before to keep cars as personal properties.To solve this problem,prediction for parking demand has been a hot issue in recent years.In this article,several common parking demand prediction models nowadays are introduced,and a summary of difficulties encountered during the model building process is raised and some innovative applications of parking demand prediction with artificial intelligence are put forward.
作者
裘瑞清
周后盘
吴辉
阮益权
石敏
Qiu Ruiqing;Zhou Houpan;Wu Hui;Ruan Yiquan;Shi Min(Smart City Research Center of Hangzhou Dianzi University,Hangzhou,Zhejiang 310018,China;Regional Collaboration Innovation Center of Smart City)
出处
《计算机时代》
2018年第8期23-26,共4页
Computer Era
基金
浙江省重点研发计划项目(2018C01016)
关键词
停车需求
云数据架构
预测模型
人工智能
创新应用
parking demand
cloud architecture
prediction model
artificial intelligence
innovative application
