1. A Clean Air Journey Planner for pedestrians using high resolution near real time air quality data
- Author
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Antti Nurminen, Lasse Johansson, Avleen Malhi, Kary Främling, Iglesias, Carlos A., Moreno, Jose Ignacio, Rivera, Diego, Adj. Prof. Främling Kary group, Department of Computer Science, Finnish Meteorological Institute, Aalto-yliopisto, and Aalto University
- Subjects
Pollution ,010504 meteorology & atmospheric sciences ,Computer science ,media_common.quotation_subject ,Real-time computing ,Air pollution ,High resolution ,Atmospheric model ,010501 environmental sciences ,medicine.disease_cause ,01 natural sciences ,Routing (hydrology) ,11. Sustainability ,medicine ,Air quality index ,0105 earth and related environmental sciences ,computer.programming_language ,media_common ,pollution avoidance ,ENFUSER ,Planner ,air quality ,Open source ,13. Climate action ,route planning ,computer - Abstract
openaire: EC/H2020/732240/EU//SynchroniCity Air pollution is a severe health issue. In urban environments, traffic is the main pollution source. Pollution disperses from main roads to the environment depending on weather conditions and city structure. Given dense air quality data, one could create routes that optimize journeys to avoid polluted air. We provide a methodology for this, and have implemented a Clean Air Journey Planner for the City of Helsinki. We have done this by modifying the existing Open Source journey planner (the Digitransit platform), extended by integrating high resolution (13m grid size) air quality data generated hourly with the ENFUSER dissipation model by the Finnish Meteorological Institute. The Planner is suited for pedestrians and allows citizens to find routes with less pollution. It is the first to utilize near real time updated high resolution air quality data directly in the routing core of a widely used Open Source journey planner.
- Published
- 2020
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