COPERT
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
Ownership and Licence
Ownership
Third-party ownership (commercial companies, Member States, other organisations)
Ownership details
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:
Parameter | Description |
---|---|
Spatial extent / country coverage | ALL countries of the WORLD |
From region level to country level. | |
Spatial resolution | NationalEntity |
Emission inventories are provided at country level, but one can also arrive at region level. | |
Temporal extent | Short-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 resolution | Years |
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?
- response
- yes
- details
- url
Sensitivity analysis
Sensitivity analysis helps identifying the uncertain inputs mostly responsible for the uncertainty in the model responses. Has the model undergone sensitivity analysis?
- response
- no
- details
- url
Have model results been published in peer-reviewed articles?
- response
- yes
- details
- url
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.
- response
- no
- details
- It however has been reviewed in a multitude of scientific papers.
- url
Model validation
Has model validation been done? Have model predictions been confronted with observed data (ex-post)?
- response
- yes
- details
- Emission levels have been verified according to laboratory measurements.
- url
Transparency
To what extent do input data come from publicly available sources?
This may include sources accessible upon subscription and/or payment
- response
- not provided
Is the full model database as such available to external users?
Whether or not it implies a specific procedure or a fee
- response
- yes
- details
- url
Have model results been presented in publicly available reports?
Note this excludes IA reports.
- response
- yes
- details
Have output datasets been made publicly available?
Note this could also imply a specific procedure or a fee.
- response
- yes
- details
- url
Is there any user friendly interface presenting model results that is accessible to the public?
For instance: Dashboard, interactive interfaces...
- response
- not provided
- details
- url
Has the model been documented in a publicly available dedicated report or a manual?
Note this excludes IA reports.
- response
- yes
- details
- Documentation is available from the COPERT website.
Is there a dedicated public website where information about the model is provided?
- response
- yes
Is the model code open-source?
- response
- yes
Can the code be accessed upon request?
- response
- not applicable
- details
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.
2022SWD/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