Objective
Pothole repair in road networks is one of the most commonly performed operation for most road maintenance teams, especially in areas where cold winters and wet springs contribute to accelerated road surface breakup ever year. The poor condition and lack of maintenance of European roads contribute to at least one third of all accidents each year, and accounting to 52.7% of fatalities in 2011. Potholes also hold the distinction of being the most aggravating road distress to the traveling public in general.
Pothole repair generally accounts for a significant portion of transportation departments’ operating budget, with more than €1,2 billion being directly attributed to fill nearly 20 million potholes in Europe during 2011, but only half of Europe's potholes were treated. This can be attributed to the high initial costs associated with maintenance activities, the historically poor performance of patching which often necessitates additional maintenance work, and the exorbitant safety and legal costs associated with the need for traffic control of these activities. As such, any improvements or advancements in this area could result in substantial cost savings.
As a response to this need, a potholer repair method that will significantly reduce the direct costs (cost of repair) and indirect costs (cost of user compensation, traffic disrupts, etc.) associated with road maintenance activities is required. Specifically, increased effectiveness and better productivity during pothole repair and enhanced longevity of potholes use are required.
The proposed solution is to develop a fully automatic, via robotic vision and computer-control, and adaptive, via an expert system, pothole repair system with integrated quality assurance mechanisms, as well as a new, robust patch material blend - an emulsified asphalt emulsion - that lend itself to the automatic process and demonstrates excellent performance.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences economics and business economics production economics productivity
- natural sciences computer and information sciences artificial intelligence expert systems
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-SME-2013
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
LE13 0PB MELTON MOWBRAY
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.