Smart City Gnosys
Smart city article details
| Title | Toward Understanding Crowd Mobility In Smart Cities Through The Internet Of Things |
|---|---|
| ID_Doc | 57769 |
| Authors | Solmaz, G; Wu, FJ; Cinllo, F; Kovacs, E; Santana, JR; Sánchez, L; Sotres, P; Munoz, L |
| Year | 2019 |
| Published | IEEE COMMUNICATIONS MAGAZINE, 57, 4 |
| DOI | http://dx.doi.org/10.1109/MCOM.2019.1800611 |
| Abstract | 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. |
| Author Keywords |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
48371  | 0.885 | Darsena D.; Gelli G.; Iudice I.; Verde F. | Sensing Technologies For Crowd Management, Adaptation, And Information Dissemination In Public Transportation Systems: A Review | IEEE Sensors Journal, 23, 1 (2023) |
| 14170 | 0.858 | Elvas L.B.; Nunes M.; Francisco B.; Domingues N. | City Mobility And Night Life Monitor | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 540 LNICST (2024) |
| 16714 | 0.857 | Bellavista P.; Cardone G.; Corradi A.; Foschini L.; Ianniello R. | Crowdsensing In Smart Cities: Technical Challenges, Open Issues, And Emerging Solution Guidelines | Handbook of Research on Social, Economic, and Environmental Sustainability in the Development of Smart Cities (2015) |
| 39969 | 0.854 | Tomaras D. | On Urban Data Analytics And Applications In The Big Data Era | Proceedings - IEEE International Conference on Mobile Data Management (2024) |
| 16713 | 0.853 | Alvear O.; Calafate C.T.; Cano J.-C.; Manzoni P. | Crowdsensing In Smart Cities: Overview, Platforms, And Environment Sensing Issues | Sensors (Switzerland), 18, 2 (2018) |
| 16695 | 0.851 | Mathew S.S.; El Barachi M.; Kuhail M.A. | Crowdpower: A Novel Crowdsensing-As-A-Service Platform For Real-Time Incident Reporting | Applied Sciences (Switzerland), 12, 21 (2022) |