This paper presents a routing engine designed to direct users through routes with healthier air quality in urban environments. Employing an approach that integrates geospatial analysis and air quality indices, we establish 'healthy routes' that minimize exposure to harmful particulate matter (PM). Our methodology leverages shortest path algorithms, enhanced by air quality ratings, to generate environmentally optimized paths. Initial results indicate identical routes using PM2.S and NO2 data, suggesting effective route consistency. This study aims to contribute to urban planning and public health by providing a practical tool for minimizing pollution exposure.
Alshamsi, R.A., Foschini, L., Al Jawarneh, I.M. (2024). Health Aware Optimized Route Planner for Reduced Urban Hyperlocal Pollution Exposure. 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/camad62243.2024.10942900].
Health Aware Optimized Route Planner for Reduced Urban Hyperlocal Pollution Exposure
Foschini, Luca;
2024
Abstract
This paper presents a routing engine designed to direct users through routes with healthier air quality in urban environments. Employing an approach that integrates geospatial analysis and air quality indices, we establish 'healthy routes' that minimize exposure to harmful particulate matter (PM). Our methodology leverages shortest path algorithms, enhanced by air quality ratings, to generate environmentally optimized paths. Initial results indicate identical routes using PM2.S and NO2 data, suggesting effective route consistency. This study aims to contribute to urban planning and public health by providing a practical tool for minimizing pollution exposure.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



