Abstract
An evolution of smart and connected cars allows the advancement of smart cities and new business models for automakers. The main objective of this article was to understand the capability of Brazilian vehicles to collect meteorological data, through an observational approach of vehicle technologies and an applied study of automatic weather stations. In 2020, when the world was affected by the COVID-19 pandemic, many studies were conducted in order to find a possible relationship between these meteorological data and the incidence of the novel coronavirus. Through this study, meteorological variables that are collected by the stations, as well as vehicles, were compared in order to evaluate the potential of data combination, in addition to the analysis of the influence of these variables in pandemic cases like COVID-19. In this context, it was understood the vehicle’s advancement as a mobile sensor and the usage of vehicle’s data as a tool for a better understanding of the COVID-19 pandemic.
Highlights
The Internet of Things is based on the integration of a series of connected devices, in some cases, with embedded sensors capable of collecting data in real-time
Vehicle sensors are capable of identifying rain on the windshield and measuring external ambient parameters like temperature, atmospheric pressure, relative humidity of the air, the intensity of solar radiation, and the intensity of external luminosity and link all these variables with the vehicle geolocation based on the Global Positioning System (GPS)
The OAT (Outside Air Temperature) sensor, relative humidity, and solar radiation are used in the air conditioning controls and its transfer function in order to adjust the temperature of the internal compartment [11, 12]
Summary
The Internet of Things is based on the integration of a series of connected devices, in some cases, with embedded sensors capable of collecting data in real-time It allows a new approach for solving complex systems and data analysis, for instance, house automation, intelligent traffic management systems, and environmental monitoring systems [1]. Public departments and private companies are increasingly looking to use data that allows better management of urban mobility and city development planning [4]. These institutions tend to use relevant information from connected platforms as a database to analyze the profile and behavior of people and urban mobility.
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