Amitran methodology framework for evaluating the impact of information and communication technology-based measures on CO2 emissions in the transport field

Amitran methodology framework for evaluating the impact of information and communication technology-based measures on CO2 emissions in the transport field

Mahmod, M.
Jonkers, E.
Klunder, G.A.
Benz, T.
Winder, A.

2015

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. © The Institution of Engineering and Technology 2015.

Urban Mobility & Environment
SMb - Smart Mobility
ELSS - Earth, Life and Social Sciences
Mobility & Logistics
Traffic
Urbanisation
Gas emissions
Intelligent systems
Traffic control
Framework architecture
Information and Communication Technologies
Intelligent transport systems
Road transports

http://resolver.tudelft.nl/uuid:da979d84-5c61-474f-a89b-ebecb92707fa

https://doi.org/10.1049/iet-its.2014.0058

525569

Institution of Engineering and Technology

1751-956X

IET Intelligent Transport Systems, 9 (4), 418-428

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