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A Clean Air Journey Planner for pedestrians using high resolution near real time air quality data
- Source :
- Intelligent Environments, 2020 16th International Conference on Intelligent Environments (IE)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
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.
- 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
Subjects
Details
- ISBN :
- 978-1-72816-158-7
- ISBNs :
- 9781728161587
- Database :
- OpenAIRE
- Journal :
- 2020 16th International Conference on Intelligent Environments (IE)
- Accession number :
- edsair.doi.dedup.....cbd6adf567ebc08c0133f5d7a9a934ed
- Full Text :
- https://doi.org/10.1109/ie49459.2020.9155068