| Full text | |
| Author(s): |
Total Authors: 3
|
| Affiliation: | [1] Univ Fed Minas Gerais, Belo Horizonte, MG - Brazil
[2] Univ Ottawa, Comp Sci, Ottawa, ON - Canada
[3] Univ Ottawa, Ottawa, ON - Canada
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | IEEE COMMUNICATIONS MAGAZINE; v. 57, n. 4, p. 20-25, APR 2019. |
| Web of Science Citations: | 0 |
| Abstract | |
The increasing availability of tremendous amounts of data generated by people, vehicles, and things have provided unprecedented opportunities for understanding human behavior in the urban environment. At the same time, crowd management systems can benefit city planning, emergency control, and mobile network design. In this work, we exploit urban data as a way of analyzing crowd behavior. We analyze the types of crowd situations, describe the major types of urban data, and highlight their strengths and weaknesses. We then discuss the key research challenges and opportunities in the analysis of urban environments. Moreover, through case studies, we explain how to apply urban data for spatial, temporal, and semantic observations of crowd situations. (AU) | |
| FAPESP's process: | 15/24536-2 - Design of services and applications for IOT |
| Grantee: | Antonio Alfredo Ferreira Loureiro |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 15/24494-8 - Communications and processing of big data in cloud and fog computing |
| Grantee: | Nelson Luis Saldanha da Fonseca |
| Support Opportunities: | Research Projects - Thematic Grants |