The application of CO2MPAS model for vehicle CO₂ emissions estimation over real world traffic conditions

A vehicle simulation model, the CO₂ Model for Passenger and commercial vehicles Simulation (CO2MPAS) supports the new Worldwide Harmonized Light-Duty Vehicle Test Procedure (WLTP) certification system for CO₂ emissions in Europe. This paper investigates the possibility to use the underlying simulation methodology to accurately calculate CO₂ emissions over real-world trips, thus to extend the use of CO2MPAS beyond the certification scope. As a reference, the analysis used measurement data obtained from four vehicles over two different routes under real-world driving conditions. The CO₂ emissions were measured using portable emissions measurement systems. The formal CO2MPAS methodology and two modified versions of it requiring a reduced number of input data were assessed about their capacity to predict the measured CO₂ emissions. The analysis focused on the accuracy and uncertainty of the three different methodology configurations. As an additional benchmark, the analysis considered the CO₂ emissions estimates obtained from the European Environmental Agency (EEA) Guidebook methodology used for emissions inventorying in Europe. Results show that the basic CO2MPAS configuration demonstrates good performance in predicting CO₂ emissions over on-road tests, reaching a prediction accuracy over an entire test trip of -0,3% and a standard deviation of 3,1%. The modified versions showed slightly higher biases up to -3.3% and uncertainties (5-7%) but remaining within reasonable limits considering the reduced number of inputs used in each case. Given its ability to predict CO₂ emissions accurately on a local base, CO2MPAS could be used for the prediction of instantaneous CO₂ emissions in traffic micro-simulation exercises.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADC20 Standing Committee on Transportation and Air Quality. Alternate title: THE APPLICATION OF CO2MPAS MODEL FOR VEHICLE CO2 EMISSIONS ESTIMATION OVER REAL WORLD TRAFFIC CONDITIONS.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
    • Mogno, Caterina
    • Komnos, Dimitrios
    • Arcidiacono, Vincenzo
    • Ciuffo, Biagio
    • Makridis, Michail
    • Pavlovic, Jelica
    • Valverde, Victor
    • Fontaras, Georgios
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 9p

Subject/Index Terms

Filing Info

  • Accession Number: 01698063
  • Record Type: Publication
  • Report/Paper Numbers: 19-04094
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:45AM