Scaling up methodology for CO2 emissions in ICT applications in traffic and transport in Europe
conference paper
The Amitran project aims to define a reference methodology for evaluating the effects of ICT
measures in trafäc and transport on energy efficiency and consequently CO2 emissions. This
methodology can be used as a reference by future projects and will address different modes
for both passenger and freight transport through a comprehensive well-to-wheel approach.
Scaling up is an important part of this methodology. Starting from the identification of user
behaviours and transport characteristics affected by Intelligent Transport Systems (lTS) and
their correlation to parameters affecting COz emissions, the development of a generic scaling
up methodology aims at the translation of COz emission effects from a local level to a larger
(e.g. European) level. For scaling up two methods are distinguished: a direct method using
statistics and one using a macroscopic multimodal traffic model. The selection of the used
method depends on the type of expected effects and the availability of relevant models. ln the
course of the Amitran project a knowledge base will be developed to provide guidance to the
Amitran users to scale up their results. The knowledge base will also provide examples of
scaling up for different ITS applications and links to relevant data.
measures in trafäc and transport on energy efficiency and consequently CO2 emissions. This
methodology can be used as a reference by future projects and will address different modes
for both passenger and freight transport through a comprehensive well-to-wheel approach.
Scaling up is an important part of this methodology. Starting from the identification of user
behaviours and transport characteristics affected by Intelligent Transport Systems (lTS) and
their correlation to parameters affecting COz emissions, the development of a generic scaling
up methodology aims at the translation of COz emission effects from a local level to a larger
(e.g. European) level. For scaling up two methods are distinguished: a direct method using
statistics and one using a macroscopic multimodal traffic model. The selection of the used
method depends on the type of expected effects and the availability of relevant models. ln the
course of the Amitran project a knowledge base will be developed to provide guidance to the
Amitran users to scale up their results. The knowledge base will also provide examples of
scaling up for different ITS applications and links to relevant data.
TNO Identifier
489708
Source title
20th World ITS Congress 2013, Tokyo
Pages
1-8
Files
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