Transport is an important source of air pollution and greenhouse gas emissions. Although the applications of information and communication technologies (ICTs) for transport, also known as intelligent transport systems, are seen as having great potential to help reduce emissions from road transport, their exact impact on CO2 emissions are uncertain for decision makers from government to industry. This uncertainty hinders the deployment of such applications. Therefore there is a need for a common evaluation approach to assess the CO2 impact of ICT measures in a systemic and realistic way. In this study, a methodology framework to evaluate the impact of ICT measures on CO2 emissions is explained. The methodology was developed within the European Union FP7 project Amitran. In particular, this study focuses on the outline and the framework architecture of the methodology as well as the required interfaces between the required models. The use of the methodology is demonstrated by applying it to a use case of dynamic traffic light systems. Finally, the efforts made to validate the methodology and make it accessible to users are explained.
Amitran methodology framework for evaluating the impact of information and communication technology-based measures on CO2 emissions in the transport field
IET Intelligent Transport Systems ; 9 , 4 ; 418-428
2015-05-01
11 pages
Article (Journal)
Electronic Resource
English
Amitran methodology framework , intelligent transportation systems , dynamic traffic light systems , environmental science computing , greenhouse gas emissions , information and communication technology , EU FP7 project Amitran , transport field , intelligent transport systems , decision makers , ICT , framework architecture , air pollution , CO<sub>2</sub> emissions , greenhouses , information technology
Metadata by IET is licensed under CC BY 3.0
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