Abstract
A CyberGIS approach is presented in this chapter where microscopic traffic simulation and gas dispersion simulation systems are combined in order to estimate atmospheric pollution for different scenarios. The combination of these two simulation models allows for detailed investigations of different situations such as the investigation of pollution impacts of different traffic infrastructure variants, as well as for prediction of expected pollution and whether pollutant thresholds will be exceeded. For different case studies, real data about traffic movements provided by the state government, a digital terrain model of the area as well as real measurements of atmospheric data have been used. The evaluation of the approach shows that variations in the settings, regarding traffic or atmospheric conditions, lead to different patterns of observed pollution. The CyberGIS environment described is used to run multiple simulations on a distributed cyberinfrastructure, where the high-end computational resources are available on servers in Europe and in North America.
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Acknowledgements
Work performed under this project has been partially supported by the US Department of Transportation award 202717 (RITARS-12-H-GMU, CFDA), and by the MainCampus scholarship of the Stiftung Polytechnische Gesellschaft Frankfurt am Main. Special thanks to Hessen Mobil for providing ODM (Origin-Destination-Matrices) of the modelled simulation area and to the Hessisches Landesamt für Bodenmanagement und Geoinformation for allocation of a Digital Terrain Model of the measurement area.
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Cervone, G., Dallmeyer, J., Lattner, A.D., Franzese, P., Waters, N. (2019). Coupling Traffic and Gas Dispersion Simulation for Atmospheric Pollution Estimation. In: Wang, S., Goodchild, M. (eds) CyberGIS for Geospatial Discovery and Innovation. GeoJournal Library, vol 118. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-1531-5_2
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