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MEDIATOR SIGNED

MEdiating between Driver and Intelligent Automated Transport systems on Our Roads

Total Cost €

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EC-Contrib. €

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Partnership

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Project "MEDIATOR" data sheet

The following table provides information about the project.

Coordinator
STICHTING WETENSCHAPPELIJK ONDERZOEK VERKEERSVEILIGHEID 

Organization address
address: Bezuidenhoutseweg 62
city: Den Haag
postcode: 2594 AW
website: www.swov.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 6˙461˙615 €
 EC max contribution 6˙461˙615 € (100%)
 Programme 1. H2020-EU.3.4. (SOCIETAL CHALLENGES - Smart, Green And Integrated Transport)
 Code Call H2020-MG-2018-TwoStages
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-05-01   to  2023-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    STICHTING WETENSCHAPPELIJK ONDERZOEK VERKEERSVEILIGHEID NL (Den Haag) coordinator 1˙262˙875.00
2    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) participant 730˙000.00
3    TECHNISCHE UNIVERSITAET CHEMNITZ DE (CHEMNITZ) participant 713˙200.00
4    ZENUITY AB SE (GOTHENBURG) participant 691˙750.00
5    FIAT CHRYSLER AUTOMOBILES ITALY SPA IT (TORINO) participant 574˙500.00
6    AUTOLIV DEVELOPMENT AB SE (VARGARDA) participant 561˙125.00
7    CYGNIFY BV NL (VOORSCHOTEN) participant 518˙840.00
8    STATENS VAG- OCH TRANSPORTFORSKNINGSINSTITUT SE (LINKOEPING) participant 446˙325.00
9    BEN-GURION UNIVERSITY OF THE NEGEV IL (BEER SHEVA) participant 423˙625.00
10    KONGSBERG MARITIME AS NO (HORTEN) participant 187˙250.00
11    ALTRAN ITALIA S.P.A IT (ROMA) participant 186˙250.00
12    STICHTING NATIONAAL LUCHT- EN RUIMTEVAARTLABORATORIUM NL (AMSTERDAM) participant 165˙875.00

Map

 Project objective

Problem: Automated transport technology is developing rapidly for all transport modes, with huge safety potential. However, the transition to full automation brings new risks, such as misuse, overreliance, reduced situational awareness and mode confusion. The driving task changes to a more supervisory role, reducing the task load and potentially leading to degraded performance. Similarly, the automated system may not (yet) function in all situations; it must intelligently assess the strengths and weaknesses of both driver and system and select the best control mode according to the context. Solution: MEDIATOR proposes an intelligent ‘mediating’ support system for road transport, enabling safe, real-time switching between human driver and system. It will constantly evaluate driving context, driver state and vehicle automation status, personalising its technology to the driver’s general competence. Approach: MEDIATOR pursues a paradigm shift away from a view that prioritises either the driver or the automation, instead integrating the best of both. It will use state-of-the-art knowledge, including that from other transport modes, and develop new knowledge about human behaviour and human-machine interaction. It will apply the latest artificial intelligence technology to evaluate driver state, automation status and driving context in real time. It will produce several prototypes in the lab and in actual vehicles, for evaluation in simulation, simulator and on-road studies—as well as several tools for further exploitation. Impact: MEDIATOR will optimise the safety potential of vehicle automation, especially during the transition to full automation. It will reduce future as well as current risks (such as inattention or fatigue). MEDIATOR will facilitate market exploitation by actively involving the automotive industry during the development process. Further, the involvement of experts from other transport modes will maximise the transfer of knowledge to these domains.

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The information about "MEDIATOR" are provided by the European Opendata Portal: CORDIS opendata.

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