MIT Senseable City Laboratory, Boston
The City Scanner project proposes a drive-by solution to capture the spatiotemporal variation in environmental indicators in urban areas, such as air quality or the built environment's thermal flux. The spatiotemporal datasets play a significant role in the smart city domain by empowering advanced analytics solutions for decision-makers and urban managers. The City Scanner project follows a centralised IoT regime to generate a near real-time map of sensed data, building on existing fleets and moving sensing platforms.
We constructed a series of prototypes to deploy the platform, which enabled a large sensing fleet towards long-term data collection studies. Utilising parametric modelling tools and fluid dynamic simulations, we were able to design a form that would allow for optimal airflow through the device while creating a robust and waterproof prototype. The device is a low-cost solar-powered sensing platform that allows for continuous data collection and streaming of multiple phenomena. Due to a modular design, it can be customised with off-the-shelf sensors and re-used across different deployments.
- Mora, S; Anjomshoaa, A; Benson, T; Duarte, F; Ratti, C [Published - IEEE World Forum - Best Paper Award].
Carlo Ratti Director
Amin Anjomshoaa & Simone Mora Project Lead
Fábio Duarte Project Manager
Priyanka deSouza Air Quality Analyst
Philipp Schmitt Web, Visualisation
Tom Benson Prototype Design, Web, Visualisation
Louis Charron Prototype Design, Web
Lenna Johnsen Prototype Design