Public and private authorities as well as individual citizens are more and more aware of the possibly degrading environment and are willing to know the air composition in their specific area and neighbourhoods. It is important for them to monitor emissions and to know how they contribute to the different emissions as well as how they can reduce them.
In the context of the DIH4CPS project, the partners LuxMobility and LIST will conduct an experiment that monitors the greenhouse gases and air pollutant emissions over time in a specific area using a network of crowdsourced sensors. Based on the collected information of the air composition and the modelling of emissions, recommendations related to mobility behaviour will be provided to improve the air quality.
The problem
Almost everywhere, air composition is unknown. Consequently, it is impossible to detect if the air composition of an area is potentially harmful to individuals’ health or contributes to climate change. Human activities are an important source of air pollutant emissions, affecting the well-being/health of people, and the environment people are living in.
The solution
The product and provided service will be more exhaustive in terms of monitoring air pollutant and greenhouse emissions as well as direct linking to possible sources. The experiment will generate more accurate air composition information, by using crowdsourced data collection techniques, more focussed on specific neighbourhoods. The resulting service will not solely provide the pollutant level information but precise recommendations on how to reduce emissions adapted to the different users’ profile (public and private actors, citizens). Crowdsourcing for data will be an important part, because it allows people to enrich the data with relevant, missing or new information.
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