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

被引：41

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

来源：

IEEE COMMUNICATIONS MAGAZINE | 2019年 / 57卷 / 04期

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

页码：40 / 46

页数：7

共 13 条

[1]

Agarwal R, 2016, 2016 IEEE 3RD WORLD FORUM ON INTERNET OF THINGS (WF-IOT), P70, DOI 10.1109/WF-IoT.2016.7845470

[2]

Agencia Espanola de Proteccion de Datos, 2016, OR GAR PROC AN DAT P, P17

[3] Unique in the Crowd: The privacy bounds of human mobility [J].

de Montjoye, Yves-Alexandre ;

Hidalgo, Cesar A. ;

Verleysen, Michel ;

Blondel, Vincent D. .

SCIENTIFIC REPORTS, 2013, 3

[4] Big data for smart cities with KNIME a real experience in the SmartSantander testbed [J].

Jara, Antonio J. ;

Genoud, Dominique ;

Bocchi, Yann .

SOFTWARE-PRACTICE & EXPERIENCE, 2015, 45 (08) :1145-1160

[5]

Kosovic I. N., 2014, INT J COMPUTER CONTR, V8

[6] Experimentation as a Service Over Semantically Interoperable Internet of Things Testbeds [J].

Lanza, Jorge ;

Sanchez, Luis ;

Santana, Juan Ramon ;

Agarwal, Rachit ;

Kefalakis, Nikolaos ;

Grace, Paul ;

Elsaleh, Tarek ;

Zhao, Mengxuan ;

Tragos, Elias ;

Hung Nguyen ;

Cirillo, Flavio ;

Steinke, Ronald ;

Soldatos, John .

IEEE ACCESS, 2018, 6 :51607-51625

[7] Federation of Internet of Things Testbeds for the Realization of a Semantically-Enabled Multi-Domain Data Marketplace [J].

Sanchez, Luis ;

Lanza, Jorge ;

Santana, Juan Ramon ;

Agarwal, Rachit ;

Raverdy, Pierre Guillaume ;

Elsaleh, Tarek ;

Fathy, Yasmin ;

Jeong, SeungMyeong ;

Dadoukis, Aris ;

Korakis, Thanasis ;

Keranidis, Stratos ;

O'Brien, Philip ;

Horgan, Jerry ;

Sacchetti, Antonio ;

Mastandrea, Giuseppe ;

Fragkiadakis, Alexandros ;

Charalampidis, Pavlos ;

Seydoux, Nicolas ;

Ecrepont, Christelle ;

Zhao, Mengxuan .

SENSORS, 2018, 18 (10)

[8]

Tong HJ, 2017, PROCEEDINGS OF 2017 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC), P235, DOI 10.1109/CompComm.2017.8322547

[9] CrowdEstimator: Approximating Crowd Sizes with Multi-modal Data for Internet-of-Things Services [J].

Wu, Fang-Jing ;

Solmaz, Guerkan .

MOBISYS'18: PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS, APPLICATIONS, AND SERVICES, 2018, :337-349

[10] A New Era for Cities with Fog Computing [J].

Yannuzzi, Marcelo ;

van Lingen, Frank ;

Jain, Anuj ;

Parellada, Oriol Lluch ;

Flores, Manel Mendoza ;

Carrera, David ;

Perez, Juan Luis ;

Montero, Diego ;

Chacin, Pablo ;

Corsaro, Angelo ;

Olive, Albert .

IEEE INTERNET COMPUTING, 2017, 21 (02) :54-67

← 1 2 →