REDUCTION: Reducing Environmental Footprint based on Multi-Modal Fleet management Systems for Eco-Routing and Driver Behaviour Adaptation

REDUCTION successfully completed as Excellent Flagship Project

On 31 August, 2014, the FP7 project REDUCTION was successfully completed. The project developed state-of-the-art methodologies for ecological routing, ecological driving, multi-modal ecological routing, in addition to cutting edge onboard communication devices. Four different field trials: namely FlexDanmark (taxi fleet), CTL (bus fleet), Trainose (train and taxi fleets) and Amsterdam (freight fleet), were successfully completed. The outcomes and findings of REDUCTION have a potential to significantly affect the transportation community.

REDUCTION is a collaborative research project funded by the European Comission; 7th Framework Programme Call 7 (2011-2014).

Objective ICT-2011.6.6 Low-carbon multi-modal mobility and freight transport, Target b) ICT for clean and efficient multi-modal mobility


Persuasive Advisor for CO2-reducing cross-model trip planning - is an international collaboration between eight organizations from six various countries aiming to provide travellers with personalized multi-modal navigation tools that allow, help and persuade them to travel and drive ecological friendlier. The project is supported by the EU under Framework Programme 7.

  • Optimizing driving behaviour through effective decision making for the enhancement of drivers education and the formation of effective policies about optimal traffic operations (speeding, braking, etc.), based on the analytical results over the data that associate driving-behaviour patterns with CO2 emissions.
  • Eco-routing for suggesting most environmental-friendly routes that reduce overall mileage and CO2 emissions.
  • Multi-modality that allows fleets operating based on various transport modes and take decisions about how to: i) balance capacity within and throughout modes of transport, ii) reduce their environmental footprint by comparing consumption data and alternative routing information that involve mode changing, iii) develop efficient driver policies for their entire set of vehicles and not only for isolated modes.

Expected Results

  • Innovations enabling logistics in EU to offer advanced services at large scale aiming at reduction of environmental footprint of the transportation sector.
  • Predictive algorithms running in a novel decentralized V2V/V2I framework.
  • Evaluation methodologies and an impact analysis based on fieldtrials with EU fleets.
  • Scientific papers, contributions to standardisation bodies, and new transport-related services.