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计算机系统应用英文版:2018,27(8):97-102

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REST架构下的智能共享停车位系统

陆晓天¹, 葛艳^1,2, 郭焕杰¹, 陶晟宇³, 陈明^2,4

(1.上海海洋大学信息学院, 上海 201306;2.农业部渔业信息重点实验室, 上海 201306;3.上海海洋大学工程学院, 上海 201306;4.上海海洋大学现代信息与教育技术中心, 上海 201306)

Intelligent Shared Parking System Based on REST Architecture

LU Xiao-Tian¹, GE Yan^1,2, GUO Huan-Jie¹, TAO Sheng-Yu³, CHEN Ming^2,4

(1.College of Information Technology, Shanghai Ocean University, Shanghai 201306, China;2.Key Laboratory of Fisheries Information, Ministry of Agricultrure, Shanghai 201306, China;3.College of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, China;4.Institute of Information and Education Technology, Shanghai Ocean University, Shanghai 201306, China)

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本文已被：浏览 1988次下载 1901次
Received:December 05, 2017 Revised:December 27, 2017

中文摘要: 为了有效缓解城市停车一位难求与大量车位利用率低下两者之间的矛盾,本文从物联网的角度给出了智能分时停车位系统解决方案,采用REST架构将用户手机app、信息存储服务器和智能车位锁等独立设备有机连接,支持停车位的实时发现、分时共享、在线预约、智能导航和无人监管,形成又一个良好的共享经济案例.

中文关键词: 共享车位 REST 物联网

Abstract:In order to effectively alleviate the contradiction between the parking difficulties and a large number of parking spaces with low utilization, this paper presents a solution to the shared parking system from the perspective of the Internet of Things which adopts REST architecture to connect the independent devices such as users' mobile phone app, information storage server, intelligent parking lock, etc., supporting real time discovery of parking spaces, share time sharing, online booking, smart navigation, and unmanned supervision. This forms another case of sharing economy.

keywords: sharing parking REST Internet of Things

文章编号： 中图分类号： 文献标志码：

基金项目:上海市科技创新行动计划项目（16391902900）；大学生创新项目“易停——快捷停车app”（S201710264107）；上海海洋大学教改项目（A1-0201-00-0322025）

引用文本：
陆晓天,葛艳,郭焕杰,陶晟宇,陈明.REST架构下的智能共享停车位系统.计算机系统应用,2018,27(8):97-102
LU Xiao-Tian,GE Yan,GUO Huan-Jie,TAO Sheng-Yu,CHEN Ming.Intelligent Shared Parking System Based on REST Architecture.COMPUTER SYSTEMS APPLICATIONS,2018,27(8):97-102

Author Name	Affiliation	E-mail
LU Xiao-Tian	College of Information Technology, Shanghai Ocean University, Shanghai 201306, China
GE Yan	College of Information Technology, Shanghai Ocean University, Shanghai 201306, China Key Laboratory of Fisheries Information, Ministry of Agricultrure, Shanghai 201306, China	yge@shou.edu.cn
GUO Huan-Jie	College of Information Technology, Shanghai Ocean University, Shanghai 201306, China
TAO Sheng-Yu	College of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, China
CHEN Ming	Key Laboratory of Fisheries Information, Ministry of Agricultrure, Shanghai 201306, China Institute of Information and Education Technology, Shanghai Ocean University, Shanghai 201306, China