A South African scenario for emissions modelling

Scenarios with high levels of diversity lend themselves to be represented or imitated by disaggregate, agent-based models as the individual agents can capture the unique attributes of the constituents of the overall system. This paper describes the methodology to establish a baseline transport simulation model, using MATSim, to represent and imitate vehicle-specific emissions. The study area is the multi-metropolitan megacity (and province) of Gauteng, South Africa.

• Record URL:
  https://doi.org/10.1016/j.procs.2021.03.092
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877050921007316
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2021 Johan W. Joubert, et al. Published by Elsevier B.V. Abstract reprinted with permission of Elsevier. 10th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS 2021)
• Authors:
  • Joubert, Johan W
  • Gräbe, Ruan J
• Publication Date: 2021

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 739-744
• Serial:
  • Procedia Computer Science
  • Volume: 184
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0509
  • Serial URL: http://www.sciencedirect.com/science/journal/18770509
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Exhaust gases; Forecasting; Methodology; Pollutants; Simulation; Urban areas
• Identifier Terms: MATSim (Computer program)
• Geographic Terms: Gauteng (South Africa)
• Subject Areas: Environment; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01774875
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 24 2021 4:38PM