Objective
INFRAMIX, totally aligned with the work programme, is preparing the road infrastructure to support the transition period and the coexistence of conventional and automated vehicles. Its main target is to design, upgrade, adapt and test both physical and digital elements of the road infrastructure, ensuring an uninterrupted, predictable, safe and efficient traffic.
To meet this high level objective INFRAMIX is working on different technologies. It starts with the use of mature simulation tools adapted to the peculiarities of automated vehicles and develops new methods for traffic flow modelling, to study the traffic-level influence of different levels of automated vehicles in different penetration rates. It also implements relevant traffic estimation and control algorithms dynamically adapted to the current situation. Then it goes up to propose minimum, targeted and affordable adaptations on elements of the road infrastructure, either physical or digital or a combination of them. This work includes ways of informing all types of vehicles about the control commands issued by the road operator and the proposal of new kind of visual and electronic signals for the needs of mixed scenarios.
The outcomes will be assessed via simulation and in real stretches of advanced highways. Key aspects considered throughout the project will be to ensure that the proposed adaptations will not jeopardize safety, quality of service, efficiency and will be appreciated by the users.
To achieve its objectives INFRAMIX selects a bottom-up approach. Instead of working in generic solutions with questionable impact, it builds on three specific high value (in terms of importance for traffic efficiency and safety) traffic scenarios, namely “dynamic lane assignment”, “roadworks zones” and “bottlenecks”. Although INFRAMIX is targeting mainly highways (expected to be the initial hosts of such mixed traffic) its key results can be easily transferred to urban roads.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
1020 Wien
Austria
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Participants (14)
106 82 ATHINA
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1030 Wien
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80686 Munchen
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Participation ended
1210 Wien
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8010 Graz
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
731 00 Chania
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28046 Madrid
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08740 Sant Andreu De La Barca
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
04103 Leipzig
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
Participation ended
1011 AC Amsterdam
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80809 Munchen
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1210 Wien
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12435 Berlin
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
1011 AC Amsterdam
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