Soft sensor veicular para medição de emissões de gases

Abstract

Traditionally, cities planning has followed reactive decision models based on the occurrence of problems. With the development and spread of communication and information technologies, the interconnection of electronic devices has opened a new era of data exchanging and processing, potentially supporting more efficient decisions in modern cities. This paper then proposes a software, capable of estimating the amount of carbon dioxide from existing sensor readings in vehicles, which aims to support more proactive planning and management of modern cities, addressing the problem of vehicular pollution monitoring. For that, a crowdsensing approach and the OBD-II standard are exploited to dynamically extract data from vehicles to be processed and delivered. Finally, we can see that with the information obtained, it is possible to extract information about the operation of the vehicle and even make inferences about the dynamics of the vehicles in the cities, showing potential for the development of auxiliary tools for the management of urban centers .