COPERT

Computer model to calculate emissions from road traffic
Fact Sheet

Source: Commission modelling inventory and knowledge management system (MIDAS)

Date of Report Generation: Wed Mar 19 2025

Dissemination: Public

© European Union, 2025

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Overview

Acronym

COPERT

Full title

Computer model to calculate emissions from road traffic

Main purpose

COPERT is a European emission inventory model used to calculate real-world emissions from road transport and assess the progress towards emission targets.

Summary

COPERT is the EU standard vehicle emissions calculator. It uses vehicle population, mileage, speed and other data such as ambient temperature to calculate emissions and energy consumption from road transport. It incorporates results of several technology, research, and policy assessment projects. The main purpose of the model is to facilitate national experts to compile their emissions inventory, but the scope of the model goes beyond that. COPERT can be used as a policy assessment tool for any type of environmental studies. The model can also act as a reference point for researchers to find information on the emission and energy consumption levels of any type of new vehicles existing on the European roads but also older vehicle technologies which might still exist.

The model consists of 3 main parts; the input part, the emission factor part (in consistency with the EMEP/EEA Emission Inventory Guidebook, based on Tier 1/2/3 methods), and the results part, where the calculated emissions are presented. Estimated emissions are grouped in four sources; emissions produced during thermally stabilized engine operation (hot emissions), emissions occurring during engine start from ambient temperature (cold-start and warming-up effects), and non-exhaust emissions from fuel evaporation, tyre, brake and road wear. Some additional emissions for all driving modes are calculated due to the use of an A/C. Total emissions are calculated as a product of activity data provided by the user and speed-dependent emission factors provided by the software as a result of RDE measurement data.

There is also the energy balance feature; the activity data is most frequently modified so that calculated energy consumption meets the statistical one reported by each country. In this case, a mileage correction factor (MCF)and the biofuel content correction factor are applied to the mean activity to balance the statistical and calculated energy consumption. The spatial scale of the model can range from a region to country level. The temporal extension of COPERT can also range from annual to multi-annual, although it actually depends on the activity data provided. This means that the calculation period can range from a year to a number of years (from 1990 to 2050).

COPERT can be used for policy anticipation, implementation and evaluation for air quality related policies. It can be used for trend analysis, and input for air quality modelling and impact assessment studies, either directly or after some modifications, sometimes in combination with other emission models (e.g. SIBYL). It has been recently used for the assessment of the emissions from battery electric vehicles, the introduction of Euro 7 emission standards for cars, vans, trucks and buses, and the revised procedure for non-exhaust emissions.

Model categories

miscellaneous

Model keywords

transport modelemission inventory toolemission forecastemission factorsfuel consumption

Model homepage

https://copert.emisia.com/

Ownership and Licence

Ownership

Third-party ownership (commercial companies, Member States, other organisations)

Ownership details

The development of COPERT is coordinated by the European Environment Agency (EEA), in the framework of the activities of the European Topic Centre for Air Pollution and Climate Change Mitigation. The European Commission’s Joint Research Centre manages the scientific development of the model. The IPR for the methodology and the software code rests with the EMISIA company.

Licence type

Free Software licence

The license grants freedom to run the programme for any purpose; freedom to run the program for any purpose; freedom to study (by accessing the source code) how the program works, and change it so it does enable computing; freedom to redistribute copies; and freedom to distribute copies of modified versions to others.

Details

Structure and approach

COPERT applies EEA’s EMEP/EEA air pollutant emission inventory guidebook version 2023 (updated in 2024), and more specifically chapter 1.A.3.b.i-iv Road transport 2024. The model structure is split in three parts; input, emission factor calculation and results.

Input and parametrization

COPERT includes 530 vehicle categories (205 cars, 72 vans, 137 trucks, 70 buses, 46 l-category vehicles) divided per load capacity (trucks & buses) of engine capacity (other vehicles), Euro emission standard, fuel type:

  • Passenger Cars:
    • Fuels: Petrol, Petrol Hybrid, Petrol PHEV, Diesel, Diesel PHEV, LPG Bifuel, CNG Bifuel, Battery electric
    • Segments: Mini, Small, Medium, Large-SUV-Executive, 2-Stroke
    • Euro standards: from Conventional to Euro 7
  • Light Commercial Vehicles:
    • Fuels: Petrol, Diesel, Battery electric
    • Segments: N1-I, N1-II, N1-III
    • Euro standards: from Conventional to Euro 7
  • Heavy Duty Trucks:
    • Fuels: Petrol, Diesel, CNG, LNG
    • Segments: Rigid, Articulated
    • Euro standards: from Conventional to Euro VII
  • Buses:
    • Fuels: Diesel, Diesel Hybrid, Battery electric, CNG, Biodiesel
    • Segments: Urban Buses (Midi, Standard, Articulated), Coaches (Standard, Articulated)
    • Euro standards: from Conventional to Euro VII
  • L-Category:
    • Fuels: Petrol, Diesel
    • Segments: Mopeds 2-stroke, Mopeds 4-stroke, Motorcycles 2-stroke, Motorcycles 4-stroke, Quad & ATVs, Micro-car
    • Euro standards: from Conventional to Euro 5

Inputs for each of them can be divided into required and desired:

  • Required inputs:
    • Population (stock)
    • Mileage (mean activity)
    • Lifetime cumulative activity
    • Average speed in urban/rural/highway streets
    • Share of km run in urban/rural/highway streets
  • Desired inputs:
  • Load factor and road slope for trucks and buses
  • Size of tank and canister (for the evaporative part of the emissions only)
  • Percentage of evaporation in urban/rural/highway streets (for the evaporative part of the emissions only)
  • Environmental conditions (minimum and maximum monthly average temperature (for the cold part of the emissions only), humidity (for the impact of the A/C use), Reid vapor pressure)
  • Fuel type characteristics (content of metals in the fuel, ratio of hydrogen to carbon and oxygen to carbon, heavy metal content, density, fuel energy content, biofuel content)
  • Trip characteristics (length, duration)
  • A/C options (A/C usage, vehicles with A/C, A/C effect)
  • Energy balance (total fuel sales)
  • CO2 parameters (CO2 reduction, SCR CO2 emissions)
  • Utility factor (for PHEV vehicles)

Parametrizations: The model contains a dataset of emission factors (grams of pollutants per kilometer and energy consumption per kilometer) derived from measurements for urban/rural/highway operations. Depending on the input vehicle speed, the model calculates the appropriate emission or energy consumption factor. Using the vehicle population, mileage and share of kilometers driven in each road type, the model calculates the total emissions and energy consumption. If more detailed information is available, the user can provide his own emission factors to be used for the calculation of emissions.

The model also contains parametrization for simulating additional CO2 emissions due to:

  • using the air condition
  • lube oil consumption using different SCR rates (an abatement technology for NOx)

or improve emission calculation for NOx, CO and VOC by taking into account the vehicle age.

CO2 emission calculation can be further improved by providing information on real-world CO2 data for passenger cars.

If statistics on the energy/fuel consumption (sales) are provided as input to the model, the emissions are rescaled and adjusted to reach consistency.

Main output

The output results include calculated emissions for several pollutants that can be divided into the following four groups:

  • Group 1: pollutants for which a detailed methodology exists, based on specific emission factors and covering different traffic situations (i.e. urban, rural, highway) and engine conditions (CO, NOx, NO, NO2, VOC, CH4, NMVOC, N2O, NH3, PM, SPN23)
  • Group 2: these emissions are estimated based on fuel consumption, and the results are of the same quality as those for the pollutants in Group 1 (CO2, SO2, Pb, As, Cd, Cr, Cu, Hg, Ni, Se, Zn)
  • Group 3: pollutants for which a simplified methodology is applied, mainly due to the absence of detailed data (PAHs, POPs, PCDDs, PCDs, PCBs, HCB)
  • Group 4: pollutants which are derived as a fraction of total NMVOC emissions (alkanes, alkenes, alkynes, aldehydes, ketones, cycloalkanes, aromatic compounds)

for each vehicle category in each road type (urban, rural, highway).

Spatial & Temporal extent

The output has the following spatial-temporal resolution and extent:

ParameterDescription
Spatial extent / country coverageALL countries of the WORLD
From region level to country level.
Spatial resolutionNationalEntity
Emission inventories are provided at country level, but one can also arrive at region level.
Temporal extentShort-term (from 1 to 5 years)Medium-term (5 to 15 years)Long-term (more than 15 years)
Annual to multi-annual. The temporal extent depends on the number of years (or time steps - see temporal resolution) in the input file.
Temporal resolutionYears
Annual. Generally, the model is used to provide annual emissions for an unlimited number of years. The user can also decide to provide two or more years at different intervals since each time step is independent from the others. The user can also provide input for different resolutions (e.g. weekly or daily data). The model will return emissions based on the input data. The user needs to bear in mind however that the model is built for calculating annual emissions, e.g. it calculates evaporative emissions based on monthly average temperatures.

Quality & Transparency

Quality

Model uncertainties

Models are by definition affected by uncertainties (in input data, input parameters, scenario definitions, etc.). Have the model uncertainties been quantified? Are uncertainties accounted for in your simulations?

yes

    Sensitivity analysis

    Sensitivity analysis helps identifying the uncertain inputs mostly responsible for the uncertainty in the model responses. Has the model undergone sensitivity analysis?

    no

      Have model results been published in peer-reviewed articles?

      yes

        Has the model formally undergone scientific review by a panel of international experts?

        Please note that this does not refer to the cases when model results were validated by stakeholders.

        no
        It however has been reviewed in a multitude of scientific papers.

          Model validation

          Has model validation been done? Have model predictions been confronted with observed data (ex-post)?

          yes
          Emission levels have been verified according to laboratory measurements.

            Transparency

            To what extent do input data come from publicly available sources?

            This may include sources accessible upon subscription and/or payment

            not provided

            Is the full model database as such available to external users?

            Whether or not it implies a specific procedure or a fee

            yes

              Have model results been presented in publicly available reports?

              Note this excludes IA reports.

              yes

              Have output datasets been made publicly available?

              Note this could also imply a specific procedure or a fee.

              yes

                Is there any user friendly interface presenting model results that is accessible to the public?

                For instance: Dashboard, interactive interfaces...

                not provided

                  Has the model been documented in a publicly available dedicated report or a manual?

                  Note this excludes IA reports.

                  yes
                  Documentation is available from the COPERT website.

                  Is there a dedicated public website where information about the model is provided?

                  yes

                  Is the model code open-source?

                  yes

                  Can the code be accessed upon request?

                  not applicable

                  The model’s policy relevance and intended role in the policy cycle

                  The model is designed to contribute to the following policy areas

                  • Climate action
                  • Environment
                  • Institutional affairs
                  • Transport

                  The model is designed to contribute to the following phases of the policy cycle

                  • Anticipation – such as foresight and horizon scanning
                  • Evaluation – such as ex-post evaluation
                  • Formulation – such as ex-ante Impact Assessments
                  • Implementation – this also includes monitoring

                  The model’s potential

                  COPERT, through its links to TREMOVE and DIONE, has been used in impact assessment studies of the European Commission to evaluate the impact of proposed technological and legislative measures to road transport. Examples include measures to reduce CO2 emissions from passenger cars, the introduction of EURO VI standards for heavy duty vehicles, the introduction of EURO 7 standards for all vehicles (except motorcycles), the effects of the internalization of external costs, and others.

                  COPERT is most suitable to support the policy cycle. It has been used, amongst others in: Clean Air For Europe (CAFE), National Emission Ceilings Directive (NECD), Contributions to the National and EU submissions of Emission Inventories for CLRTAP (Convention for Long Range Transport of Air Pollutants) and UNFCC.

                  Previous use of the model in ex-ante impact assessments of the European Commission

                  Use of the model in ex-ante impact assessments since July 2017.

                  2022
                  SWD/2022/359 final

                  Impact Assessment Accompanying the document Proposal for a Regulation of the European Parliament and of the Council on type-approval of motor vehicles and of engines and of systems, components and separate technical units intended for such vehicles, with respect to their emissions and battery durability (Euro 7) and repealing Regulations (EC) No 715/2007 and (EC) No 595/2009

                  Lead by
                  GROW
                  Run by
                  EMISIA
                  Contribution role
                  baseline and assessment of policy options
                  Contribution details

                  The model helped to assess the following impacts:

                  • Emission of greenhouse gases
                  • Emission of ozone-depleting substances
                  • Emissions of acidifying, eutrophying, photochemical or harmful air pollutants
                  • Vehicle emissions
                  • Energy and fuel consumption

                  Bibliographic references

                  Studies that uses the model or its results

                  Parameterisation of fuel consumption and CO2 emissions of passenger cars and light commercial vehicles for modelling purposes 

                  Published in 2011
                  Mellios G, Hausberger S, Keller M, Samaras C, Ntziachristos L, authors Dilara P, Fontaras G, editors. Parameterisation of fuel consumption and CO2 emissions of passenger cars and light commercial vehicles for modelling purposes. EUR 24927 EN. Luxembourg (Luxembourg): Publications Office of the European Union; 2011. JRC66088

                  A Preliminary Study to Evaluate Emissions Factors by Real and Micro Simulated Driving Cycle

                  Published in 2009
                  Della Ragione L, Meccariello G, Punzo V, Ciuffo B. A Preliminary Study to Evaluate Emissions Factors by Real and Micro Simulated Driving Cycle. In Conference Proceedings: Proceedings of the 9th International Conference on Engines and Vehicles (ICE2009). Warrendale (United States of America): SAE International; 2009. p. Paper Number 09ICE-0044 (1-12). JRC51552

                  Peer review for model validation

                  Investigating the impact of high-altitude on vehicle carbon emissions: A comprehensive on-road driving study 

                  Published in 2024
                  Jiang, Z., Wu, L., Niu, H., Jia, Z., Qi, Z., Liu, Y., Zhang, Q., Wang, T., Peng, J., & Mao, H. (2024). Investigating the impact of high-altitude on vehicle carbon emissions: A comprehensive on-road driving study. Science of The Total Environment, 918, 170671. https://doi.org/10.1016/j.scitotenv.2024.170671

                  Light-Duty Vehicle Brake Emission Factors 

                  Published in 2024
                  Giechaskiel, B., Grigoratos, T., Dilara, P., Karageorgiou, T., Ntziachristos, L., & Samaras, Z. (2024). Light-Duty Vehicle Brake Emission Factors. Atmosphere, 15(1), 97. https://doi.org/10.3390/atmos15010097

                  Road transport emissions in EDGAR (Emissions Database for Global Atmospheric Research) 

                  Published in 2024
                  Lekaki, D., Kastori, M., Papadimitriou, G., Mellios, G., Guizzardi, D., Muntean, M., Crippa, M., Oreggioni, G., & Ntziachristos, L. (2024). Road transport emissions in EDGAR (Emissions Database for Global Atmospheric Research). Atmospheric Environment, 324, 120422. https://doi.org/10.1016/j.atmosenv.2024.120422

                  Sustainable Public Transport Strategies—Decomposition of the Bus Fleet and Its Influence on the Decrease in Greenhouse Gas Emissions 

                  Published in 2022
                  Jaworski, A., Mądziel, M., & Kuszewski, H. (2022). Sustainable Public Transport Strategies—Decomposition of the Bus Fleet and Its Influence on the Decrease in Greenhouse Gas Emissions. Energies, 15(6), 2238. https://doi.org/10.3390/en15062238

                  Modelling the Impact of the Introduction of the EURO 6d-TEMP/6d Regulation for Light-Duty Vehicles on EU Air Quality 

                  Published in 2022
                  de Meij, A., Astorga, C., Thunis, P., Crippa, M., Guizzardi, D., Pisoni, E., Valverde, V., Suarez-Bertoa, R., Oreggioni, G. D., Mahiques, O., & Franco, V. (2022). Modelling the Impact of the Introduction of the EURO 6d-TEMP/6d Regulation for Light-Duty Vehicles on EU Air Quality. Applied Sciences, 12(9), 4257. https://doi.org/10.3390/app12094257

                  Modelling of the air pollutants’ cold-start emissions depending on average vehicles’ speed 

                  Published in 2022
                  Laskowski, P., Zimakowska-Laskowska, M., & Zasina, D. (2022). Modelling of the air pollutants’ cold-start emissions depending on average vehicles’ speed. Combustion Engines, 188(1), 96–103. https://doi.org/10.19206/ce-142171

                  Fuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability 

                  Published in 2021
                  Ali, M., Kamal, M. D., Tahir, A., & Atif, S. (2021). Fuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability. Sustainability, 13(21), 11614. https://doi.org/10.3390/su132111614

                  Traffic characteristics and pollutant emission from road transport in urban area 

                  Published in 2020
                  Abdull, N., Yoneda, M., & Shimada, Y. (2020). Traffic characteristics and pollutant emission from road transport in urban area. Air Quality, Atmosphere & Health, 13(6), 731–738. https://doi.org/10.1007/s11869-020-00830-w

                  Enhancing average speed emission models to account for congestion impacts in traffic network link-based simulations 

                  Published in 2019
                  Samaras, C., Tsokolis, D., Toffolo, S., Magra, G., Ntziachristos, L., & Samaras, Z. (2019). Enhancing average speed emission models to account for congestion impacts in traffic network link-based simulations. Transportation Research Part D: Transport and Environment, 75, 197–210. https://doi.org/10.1016/j.trd.2019.08.029

                  Analysing the Co-Benefits of transport fleet and fuel policies in reducing PM2.5 and CO2 emissions 

                  Published in 2018
                  Alam, Md. S., Hyde, B., Duffy, P., & McNabola, A. (2018). Analysing the Co-Benefits of transport fleet and fuel policies in reducing PM2.5 and CO2 emissions. Journal of Cleaner Production, 172, 623–634. https://doi.org/10.1016/j.jclepro.2017.10.169

                  Model documentation

                  No references in this category

                  Other related documents

                  Particulate mass and number emission factors for road vehicles based on literature data and relevant gap filling methods 

                  Published in 2017
                  Vouitsis, I., Ntziachristos, L., Samaras, C., & Samaras, Z. (2017). Particulate mass and number emission factors for road vehicles based on literature data and relevant gap filling methods. Atmospheric Environment, 168, 75–89. doi:10.1016/j.atmosenv.2017.09.010

                  Implications of diesel emissions control failures to emission factors and road transport NO x evolution 

                  Published in 2016
                  Ntziachristos, L., Papadimitriou, G., Ligterink, N., & Hausberger, S. (2016). Implications of diesel emissions control failures to emission factors and road transport NO x evolution. Atmospheric Environment, 141, 542–551. doi:10.1016/j.atmosenv.2016.07.036

                  In-use vs. type-approval fuel consumption of current passenger cars in Europe

                  Published in 2014
                  Ntziachristos L, Mellios G, Tsokolis D, Keller M, Hausberger S, Ligterink N, Dilara P. In-use vs. type-approval fuel consumption of current passenger cars in Europe. ENERGY POLICY 67; 2014. p. 403-411. JRC84875

                  Road vehicle emission factors development: A review 

                  Published in 2013
                  Franco Garcia V, Kousoulidou M, Muntean M, Ntziachristos L, Hausberger S, Dilara P. Road vehicle emission factors development: A review. ATMOSPHERIC ENVIRONMENT 70; 2013. p. 84-97. JRC76600

                  Use of portable emissions measurement system (PEMS) for the development and validation of passenger car emission factors 

                  Published in 2013
                  Kousoulidou M, Fontaras G, Ntziachristos L, Bonnel P, Samaras Z, Dilara P. Use of portable emissions measurement system (PEMS) for the development and validation of passenger car emission factors. ATMOSPHERIC ENVIRONMENT 64; 2013. p. 329-338. JRC76599

                  Impact of the dropping activity with vehicle age on air pollutant emissions 

                  Published in 2013
                  Caserini, S., Pastorello, C., Gaifami, P., & Ntziachristos, L. (2013). Impact of the dropping activity with vehicle age on air pollutant emissions. Atmospheric Pollution Research, 4(3), 282–289. doi:10.5094/apr.2013.031

                  Sustainability Assessment of Road Transport Technologies 

                  Published in 2012
                  Ntziachristos L, Dilara P. Sustainability Assessment of Road Transport Technologies. EUR 25341 EN. Luxembourg (Luxembourg): Publications Office of the European Union; 2012. JRC71001

                  Feasibility of Introducing Particulate Filters on Gasoline Direct Injection Vehicles. A Cost Benefit Analysis 

                  Published in 2012
                  Mamakos A, author Martini G, Dilara P, Drossinos I, editors. Feasibility of Introducing Particulate Filters on Gasoline Direct Injection Vehicles. A Cost Benefit Analysis. EUR 25297 EN. Luxembourg (Luxembourg): Publications Office of the European Union; 2012. JRC68675

                  Revision of Low Temperature Emission Standards for Petrol Vehicles 

                  Published in 2012
                  Dardiotis C, Martini G, Manfredi U. Revision of Low Temperature Emission Standards for Petrol Vehicles. EUR 25372 EN. Luxembourg (Luxembourg): Publications Office of the European Union; 2012. JRC71916

                  Review of the European Test Procedure for Evaporative Emissions: Main Issues and Proposed Solutions 

                  Published in 2012
                  Martini G, Manfredi U, Rocha M, Marotta A. Review of the European Test Procedure for Evaporative Emissions: Main Issues and Proposed Solutions. EUR 25640 EN. Luxembourg (Luxembourg): Publications Office of the European Union; 2012. JRC77061

                  Uncertainty Estimates and Guidance for Road Transport Emission Calculations 

                  Published in 2010
                  Kouridis C, Gkatzoflias D, Kioutsoukis I, Ntziachristos L, Pastorello C, Dilara P. Uncertainty Estimates and Guidance for Road Transport Emission Calculations. EUR 24296 EN. Luxembourg (Luxembourg): Publications Office of the European Union; 2010. JRC57352

                  Feebate and Scrappage Policy Instruments - Environmental and Economic Impacts for the EU27 

                  Published in 2009
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                  Nemry F, Leduc G, Mongelli I, Uihlein A. Environmental Improvement of Passenger Cars (IMPRO-car). EUR 23038 EN. Luxembourg (Luxembourg): OPOCE; 2008. JRC40598