图 书 馆
基于传感器的智能城市停车位占用预测Predicting parking occupancy in a sensor-enabled smart city |
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| 课程网址: | http://videolectures.net/dataforum2014_tsetsos_parking_occupancy/ |
| 主讲教师: | Vassileios Tsetsos |
| 开课单位: | 摩比克斯有限公司 |
| 开课时间: | 2014-03-31 |
| 课程语种: | 英语 |
| 中文简介: |  “智能城市”的概念正变得越来越流行，原因有几个。其中一个共识是，就市民的生活质量，财务生存能力，环境保护等方面而言，城市化应该是可持续的。实现这一概念的关键推动因素是物联网，M2M通信以及高效智能数据管理方法。在本演示中，我们描述了在世界上最大的智慧城市测试平台之一：桑坦德上使用大型停车数据集进行的实验。该工作是在SmartSantander项目的背景下进行的，并提供了新颖的停车预测服务。 |
| 课程简介: | The “smart city” concept is becoming more and more popular for several reasons. Among them is the common understanding that urbanization should be sustainable in terms of quality of life for the citizens, financial viability, protection of the environment, etc. Key enablers for realizing this concept are the Internet of Things, M2M communications, and efficient and intelligent data management methods. In this presentation we describe experimentation with a large dataset of parking data in one of the largest smart city testbeds in the world: Santander. The work was performed in the context of the SmartSantander project and resulted in a novel parking prediction service. |
| 关 键 词: | 传感器; 智能城市; 停车位; 停车预测 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-05-11：zhouxj |
| 最后编审: | 2020-06-01：wuyq |
| 阅读次数: | 41 |