A coupled macroscopic traffic and pollutant emission modelling system for Barcelona
| Autor: | Albert Soret, Carles Tena, Marc Guevara, Juan Salmerón, Daniel Rodriguez-Rey, Carlos Pérez García-Pando, Josep Casanovas, Mª. Paz Linares, Oriol Jorba |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Ambiental, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció, Facultat d'Informàtica de Barcelona, Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. IMP - Information Modeling and Processing |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Barcelona
Meteorology 020209 energy Air -- Pollution -- Mathematical models Transportation 02 engineering and technology Road transport Diesel fuel 0502 economics and business 0202 electrical engineering electronic engineering information engineering Sensitivity (control systems) Air quality index General Environmental Science Civil and Structural Engineering Driving dynamics Aire -- Contaminació -- Models matemàtics Pollutant 050210 logistics & transportation Traffic emissions modelling 05 social sciences Traffic simulation Metropolitan area Desenvolupament humà i sostenible::Enginyeria ambiental [Àrees temàtiques de la UPC] Environmental science Link level Enginyeria civil::Infraestructures i modelització dels transports::Transport urbà [Àrees temàtiques de la UPC] |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | We present a coupled macroscopic traffic and emission modelling system tailored to the Barcelona metropolitan area that allows estimating hourly road transport emissions at road link level. We use the developed system to perform an emission sensitivity analysis of typically high uncertainty emission features and assess their impact. We also explore the uncertainties of our system compared to a microscopic approach in a representative area of Barcelona. The developed macroscopic system shows a high sensitivity to spatially-resolved vehicle fleet composition inputs, meteorological effects on diesel engines (19% in NO) and non-exhaust sources (80% of total PM emissions). The comparison with the microscopic system shows that discrepancies grow as a function of the congestion level, up to 65% in NO. The resulting coupled system will be used in further steps of the research to evaluate the impact of traffic management strategies upon urban emissions and air quality levels in Barcelona. Daniel Rodriguez-Rey’s PhD work is funded by grant BES-2016-078116 from the FPI program by the Spanish Ministry of Economyand Competitiveness. The authors acknowledge CARNET-The Future Mobility Research HUB to allow the usage and work onthe BCN-VML network, as well as PTV VISUM for the traffic software licence. The authors also acknowledge the support fromthe Ministerio de Ciencia, Innovación y Universidades (MICINN) as part of the BROWNING project RTI2018-099894-B-I00 andNUTRIENT project CGL2017-88911-R and the support from the Agencia Estatal de Investigacion (AEI) as part of the VITALISEproject (PID2019-108086RA-I00/AEI / 10.13039/501100011033). Carlos Pérez García-Pando acknowledges the long-term supportfrom the AXA Chair in Sand and Dust Storms (AXA Research Fund), as well as the support received through the Ramón y Cajalprogramme (grant RYC-2015-18690) of the Spanish Ministry of Economy and Competitiveness. |
| Databáze: | OpenAIRE |
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