Toward Understanding Crowd Mobility in Smart Cities through the Internet of Things

被引:40
|
作者
Solmaz, Gurkan [1 ]
Wu, Fang-Jing [3 ]
Cinllo, Flavio [1 ]
Kovacs, Erno [2 ]
Santana, Juan Ramon [4 ]
Sanchez, Luis [5 ]
Sotres, Pablo [4 ]
Munoz, Luis [6 ]
机构
[1] NEC Labs Europe, Heidelberg, Germany
[2] NEC Labs Europe, IoT Res Grp, Heidelberg, Germany
[3] TU Dortmund Univ, Dortmund, Germany
[4] Univ Cantabria, Santander, Spain
[5] Univ Cantabria, Dept Commun Engn, Santander, Spain
[6] Univ Cantabria, Network Planning & Mobile Commun Lab, Santander, Spain
基金
欧盟地平线“2020”;
关键词
Analytics systems - Crowd managements - Internet of Things (IOT) - IOT applications - Location systems - Mobility analysis - Mobility behavior - Sharing information;
D O I
10.1109/MCOM.2019.1800611
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Understanding crowd mobility behaviors would be a key enabler for crowd management in smart cities, benefiting various sectors such as public safety, tourism and transportation. This article discusses the existing challenges and the recent advances to overcome them and allow sharing information across stakeholders of crowd management through Internet of Things (IoT) technologies. The article proposes the usage of the new federated interoperable semantic IoT platform (FIESTA-IoT), which is considered as "a system of systems." The platform can support various loT applications for crowd management in smart cities. In particular, the article discusses two integrated IoT systems for crowd mobility: the Crowd Mobility Analytics System and the Crowd Counting and Location System (from the SmartSantander testbed). Pilot studies are conducted in the Gold Coast Australia, and Santander, Spain, to fulfill various requirements such as providing online and offline crowd mobility analyses with various sensors in different regions. The analyses provided by these systems are shared across applications in order to provide insights and support crowd management in smart city environments.
引用
收藏
页码:40 / 46
页数:7
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