City Scanner proposes a drive-by solution to capture the spatiotemporal variation in environmental indicators in urban areas, such as air quality or the thermal flux of the built environment. Instead of deploying a dedicated fleet, we have deployed various types of environmental sensors on garbage trucks in the City of Cambridge.
With a few garbage trucks, we collected various environmental data for the whole city over several months. The result is 1.6 million data points including thermal images, temperature, humidity, and air quality data.
The spatiotemporal datasets play a significant role in smart city domain by empowering advanced analytics solutions for decision makers and urban managers. The City Scanner project follows a centralized IoT regime to generate a near real-time map of sensed data, building on existing fleets and moving sensing platforms.
Thermal imaging can be used to assess the energy efficiency of building envelopes, monitor infrastructure, and study the impact of anthropogenic heat in the cities (e.g. Urban Heat Island effect).
City Scanner counts particles in different diameter size bins (PM10, PM2.5 and PM1) using a small laser. The particle counts are an indicator to determine signatures of different pollution sources. This data can inform epidemiological research and urban health policies.
City Scanner includes low-cost temperature and humidity sensors that can be used to understand pedestrian activities as well as heat islands in urban areas.
Using accelerometers, City Scanner identifies road quality based on the vehicle vibrations. City Scanner literally creates a roadmap for improving roads.