Evaluating Weather Influence on User Participation in a Crowd-sensing Application

Author(s)

Ribeiro, Iran F. ; Calmon, Vitor F. ; Silva, Thiago H. ; Santos, Celso A. S. ; Mota, Vinicius ; IEEE

• Document type: Journal article
• Source: 2023 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS, ICNC; v. N/A, p. 6-pg., 2023-01-01.

Abstract

The quality of life for people living in urban centers has become more difficult due to the rapid increase in the urban population. Crowdsensing services can be a helpful tool for improving people's quality of life by giving public agents valuable data. This work proposes an analysis of traffic issues (events) reported by users of a crowd-sensing app in Vitoria-ES, Brazil. The dataset was analyzed concerning the duration of the reported events, monthly variation of events, and the correlation between weather changes and events reported by users. Our findings indicate that the events exhibit an unclear seasonality pattern and may be influenced by climatic factors. We also found positive correlations between weather and events, especially when analyzing months individually. These results can provide new ways of investigation, e.g., new services for forecasting traffic problems. (AU)

• FAPESP's process: 20/05182-3 - PORVIR-5G: programability, orchestration and virtualization in 5G networks
• Grantee: José Marcos Silva Nogueira
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 18/23011-1 - GoodWeb: use of social sensing to improve quality of life in cities and leverage new services
• Grantee: Thiago Henrique Silva
• Support Opportunities: Regular Research Grants