Second Generation of Pollutant Emission Models for SUMO

  • Daniel KrajzewiczEmail author
  • Michael Behrisch
  • Peter Wagner
  • Raphael Luz
  • Mario Krumnow
Conference paper
Part of the Lecture Notes in Mobility book series (LNMOB)


Traffic puts a high burden on the environment in means of emitted pollutants and consumed fuel. Different attempts exist for reducing these impacts, ranging from traffic management actions to in-vehicle ITS solutions. When equipped with a model of vehicular pollutant emissions, microscopic traffic simulations are assumed to be helpful in predicting the performance of such approaches. SUMO includes a model for vehicular emissions since 2008. In the context of the projects COLOMBO and AMITRAN, two further models were implemented. Herein, these models are presented and discussed, pointing out the progress in emissions modelling.


Vehicular emissions Emission modelling Environment Traffic management 



The authors want to thank the European Commission for co-funding the work in the context of the projects “iTETRIS”, “COLOMBO”, and “AMITRAN”.


  1. 1.
    International Transport Forum (2010) Reducing transport greenhouse gas emissions: trends and data, OECDGoogle Scholar
  2. 2.
    European Parliament and the Council of the European Union, regulation (EC) no 443/2009 setting emission performance standards for new passenger cars as part of the community’s integrated approach to reduce CO2 emissions from light-duty vehicles, 2009Google Scholar
  3. 3.
    European Parliament and the Council of the European Union, directive 2008/50/EC on ambient air quality and cleaner air for Europe, 2008Google Scholar
  4. 4.
    Krajzewicz D, Erdmann J, Behrisch M, Bieker L (2012) Recent development and applications of SUMO—Simulation of Urban MObility. Int J Adv Syst Meas 5(3, 4):128–138. ISSN:1942-261xGoogle Scholar
  5. 5.
    DLR and Contributors (2013) SUMO homepage.
  6. 6.
    Krajzewicz D, Heinrich M, Milano M, Bellavista P, Stützle T, Härri J, Spyropoulos T, Blokpoel R, Hausberger S, Fellendorf M (2013) COLOMBO: investigating the potential of V2X for traffic management purposes assuming low penetration rates. In: ITS Europe 2013, DublinGoogle Scholar
  7. 7.
    COLOMBO Consortium (2013) COLOMBO web pages. Accessed 10 April 2014
  8. 8.
    Jonkers E, Klunder G, Mahmod M, Benz T (2013) Methodology and framework architecture for the evaluation of effects of ICT measures on CO2 emissions. In: Proceedings of the 20th ITS world congress, Tokyo, JapanGoogle Scholar
  9. 9.
    AMITRAN Consortium (2013) AMITRAN web pages. Accessed 10 April 2014
  10. 10.
    Rondinone M, Maneros J, Krajzewicz D, Bauza R, Cataldi P, Hrizi F, Gozalvez J, Kumar V, Röckl M, Lin L, Lazaro O, Leguay J, Härri J, Vaz S, Lopez Y, Sepulcre M, Wetterwald M, Blokpoel R, Cartolano F (2013) ITETRIS: a modular simulation platform for the large scale evaluation of cooperative ITS applications. In: Simulation modelling practice and theory. Elsevier. doi: 10.1016/j.simpat.2013.01.007. ISSN:1569-190X
  11. 11.
    iTETRIS Consortium (2011) iTETRIS web site. Accessed 8 Jan 2014
  12. 12.
    Krajzewicz D, Nippold R, Lazaro O (2009) iTETRIS deliverable 3.1—traffic modelling: environmental factors, public deliverableGoogle Scholar
  13. 13.
    Treiber M, Kesting A, Thiemann C (2008) How much does traffic congestion increase fuel consumption and emissions? Applying a fuel consumption model to the NGSIM trajectory data, presentation no 08-2715. In: Annual meeting of the transportation research board, 13–17 Jan 2008, Washington, DCGoogle Scholar
  14. 14.
    Cappiello A, Chabini I, Nam EK, Lue A, Abou Zeid M (2002) A statistical model of vehicle emissions and fuel consumption. In: Proceedings of the IEEE 5th international conference on intelligent transportation systems, pp 801–809. doi: 10.1109/ITSC.2002.1041322
  15. 15.
    Hausberger S, Rexeis M, Zallinger M, Luz R (2009) Emission factors from the Model PHEM for the HBEFA version 3, report nr. I-20/2009 Haus-Em 33/08/679Google Scholar
  16. 16.
    Technical University of Graz (2014) Pages of the institute for internal combustion engines and thermodynamics (IVT). Accessed 10 Jan 2014Google Scholar
  17. 17.
    Hausberger S, Krajzewicz D (2014) Deliverable 4.2—extended simulation tool PHEM coupled to SUMO with user guide, public project report.
  18. 18.
    INFRAS (2013) Handbuch für Emissionsfaktoren. Accessed 06 Feb 2014
  19. 19.
    Schnabel W, Lohse D (1997) Grundlagen der Straßenverkehrstechnik und der Verkehrsplanung. Verlag für Bauwesen, Berlin, pp 557–577. ISBN 3-345-00565-4Google Scholar
  20. 20.
    Nota R, Barelds R, van Leeuwen H (2005) Harmonoise WP 3—engineering method for road traffic and railway noise after validation and fine-tuning. Harmonoise technical report HAR32TR-040922-DGMR20 (deliverable 18)Google Scholar
  21. 21.
    Krajzewicz D, Bieker L, Erdmann J (2012) Preparing simulative evaluation of the GLOSA application. In: Proceedings CD ROM 19th ITS world congress 2012, paper id: EU-00630. ITS World Congress 2012, 22.-26. Okt. 2012, Wien, AustriaGoogle Scholar
  22. 22.
    Krajzewicz D, Wagner P (2011) Large-scale vehicle routing scenarios based on pollutant emission. In: Meyer G, Valldorf J (eds) Advanced microsystems for automotive applications 2011, AMAA 2011. Springer, New York, pp 237–246Google Scholar
  23. 23.
    Flötteröd Y-P, Wagner P, Behrisch M, Krajzewicz D (2012) Simulated-based validity analysis of ecological user equilibrium. In: Winter simulation conference archive, 2012 Winter simulation conferenceGoogle Scholar
  24. 24.
    Krajzewicz D, Flötteröd Y-P (2013) Simulative Untersuchung abstrakter und realer Verkehrsmanagementansätze zur Emissionsreduktion. In: Kolloquium Luftqualität an Straßen 2013, pp 42–57. Bundesanstalt für StraßenwesenGoogle Scholar
  25. 25.
    Josep Vergés T (2013) Analysis and simulation of traffic management actions for traffic emission reduction. TU Berlin, BerlinGoogle Scholar
  26. 26.
    BASt (2012) MARLIS—Datenbank mit Maßnahmen zur Reinhaltung der Luft in Bezug auf Immissionen an Straßen, Version 3.1, to be found on BASt web pagesGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Daniel Krajzewicz
    • 1
    Email author
  • Michael Behrisch
    • 1
  • Peter Wagner
    • 1
  • Raphael Luz
    • 2
  • Mario Krumnow
    • 3
  1. 1.German Aerospace CenterBerlinGermany
  2. 2.Institut für Verbrennungskraftmaschinen und ThermodynamikGrazAustria
  3. 3.Technische Universität Dresden, Institut für VerkehrstelematikDresdenGermany

Personalised recommendations