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Data and framework for scaling up
TNO, The Hague, The Netherlands.
Institute for Transport Studies, Leeds, UK.
Institute for Transport Studies, Leeds, UK.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. Statens väg- och transportforskningsinstitut, Trafikanalys och logistik, TAL. (Trafiksystem)ORCID iD: 0000-0002-0336-6943
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2014 (English)Report (Other academic)
Abstract [en]

The global aim of the ecoDriver project is to increase the fuel efficiency by 20% by optimising the driver-powertrain-environment feedback loop and delivering effective advice to drivers. In the course of the project, field experiments will take place with a wide range of vehicles — e.g. cars, light trucks and vans, medium and heavy trucks and buses — covering both individual and collective transport. The last step of the project (Sub Project 5; SP5) is to scale up the results from these tests and analyse costs and benefits for a number of futurescenarios.

The aim of SP5 is to predict the impact of the ecoDriver systems and solutions in the future, drawing on all the evaluations carried out in the project. With the results of SP5 it will be possible to make estimates about the costs and benefits of the suggested green driving support systems on a global (EU-27) level, both for society as a whole and for sub-groups like manufacturers and consumers. SP5 will construct a set of possible scenarios for the future depending on various road maps envisioned today. The predictions for future years will be made based on available data from within and outside of the project, and on advanced microscopic traffic modelling. SP5 takes the following steps to meet the objectives:

  • Collect data needed for scaling up and developing scenarios
  • Create a range of scenarios
  • Assess the network implications of green driving support systems for future networks
  • Predict the global impacts for a range of systems and scenarios
  • Carry out a cost benefit analysis for a range of systems and scenarios

This deliverable describes the data needs for each step. It also contains a description of the approaches proposed for the scenario building, the microscopic traffic simulations, the scaling up and the cost-benefit analysis.

Place, publisher, year, edition, pages
Leeds, 2014. , 30 p.
, ecoDriver, D51.1
National Category
Transport Systems and Logistics
Research subject
20 Road: Traffic engineering, 23 Road: ITS och traffic
URN: urn:nbn:se:liu:diva-121209OAI: diva2:928880
Available from: 2014-11-25 Created: 2015-09-09 Last updated: 2016-05-17Bibliographically approved

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Olstam, JohanTapani, Andreas
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