Title of article :
The ARTEMIS European driving cycles for measuring
car pollutant emissions
Author/Authors :
Michel Andre´ *، نويسنده ,
Issue Information :
هفته نامه با شماره پیاپی سال 2004
Abstract :
In the past 10 years, various work has been undertaken to collect data on the actual driving of European cars and to derive
representative real-world driving cycles. A compilation and synthesis of this work is provided in this paper. In the frame of the
European research project: ARTEMIS, this work has been considered to derive a set of reference driving cycles. The main
objectives were as follows:
– to derive a common set of reference real-world driving cycles to be used in the frame of the ARTEMIS project but also in the
frame of on-going national campaigns of pollutant emission measurements, to ensure the compatibility and integration of all
the resulting emission data in the European systems of emission inventory,
– to ensure and validate the representativity of the database and driving cycles by comparing and taking into account all the
available data regarding driving conditions,
– to include in three real-world driving cycles (urban, rural road and motorway) the diversity of the observed driving
conditions, within sub-cycles allowing a disaggregation of the emissions according to more specific driving conditions
(congested and free-flow urban).
Such driving cycles present a real advantage as they are derived from a large database, using a methodology that was widely
discussed and approved.
In the main, these ARTEMIS driving cycles were designed using the available data, and the method of analysis was based to
some extent on previous work. Specific steps were implemented. The study includes characterisation of driving conditions and
vehicle uses. Starting conditions and gearbox use are also taken into account.
Keywords :
Passenger cars , statistical analysis , Pollutant emission , Driving cycle , speed , Acceleration
Journal title :
Science of the Total Environment
Journal title :
Science of the Total Environment