CO2 Catcher: A Platform for Monitoring of Vehicular Pollution in Smart Cities
Julio Oliveira, Jefferson Davi Silva Lemos, Elton Vieira, Ivanovitch Medeiros Dantas da Silva, Joilson Abrantes, Danilo Barros, Daniel Gouveia Costa · 2017
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 framework, referred as CO2Catcher, which aims tosupport 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. Such real-time processing will not only allow cost-effective monitoring of air quality in cities, but also to indirectly assess traffic conditions.