Project description
High-quality data driving innovative trains
Innovation in railways faces two major challenges: the lack of high-quality observations with ground truth data, which are essential to develop new navigation systems, and a modernised process mapping current train tracks with low cost and obtaining mapping information directly from trains in operation. To address these challenges essentially requires a methodology to collect and assemble the data with minimal cost. The EU-funded RAILGAP project aims at green, safe, sustainable, smart mobility trains. The project will develop advanced high-accuracy, high-precision ground truth and digital maps, essential elements of an EGNSS train positioning system and a verification and validation environment. RAILGAP will further collect massive amounts of data based on commercial trains.
Objective
RAILGARAILGAP is an essential step towards green, safe, smart mobility on rails. It focuses on developing innovative High Accuracy, High Precision Ground Truth and Digital Maps, essential elements of an EGNSS train positioning system and a V&V Environment. The outcomes will address two show stoppers: lack of high-quality data with ground truth (needed for developing new navigation systems) and a modernized process for mapping existing train tracks cost-effectively, by deriving mapping information directly from trains in commercial operation. This will enable positioning with unprecedented reliability and efficiency in the railway operations. The missing piece is a methodology to collect and aggregate the data without operational overheads or labour, at minimal cost in hardware while removing any need for trackside infrastructure. RAILGAP addresses these challenges with a method based on commercial trains collecting massive amounts of data. This enables characterizing even the most challenging railway environments. Results will support the GSA roadmap in adopting EGNSS in train Command & Control Systems (CCS) and trigger contributions from stakeholders. We will exploit a fusion of GNSS with data from other sensors as IMU, Lidar and Camera. Dual-Freq., Multi-Const. GNSS is key to improving map accuracy in challenging environments (urban areas, tree canopies) extending coverage of GNSS on rails. RAILGAP will make ERTMS and CCS with EGNSS sustainable, helping modernise regional and local lines, where passengers will benefit daily. It also enhances the case for ERTMS and CCS by lowering energy consumption. Project coordinator is RFI, who has been very involved in piloting GNSS-based technology for ERTMS like the Novara-Rho pilot line. The team has experts in rail and satellite navigation and includes research organizations, engineering consultants, railway operators and stakeholder representatives, forming a well-recognized consortium with long-term working experience.
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- social sciences social geography transport navigation systems satellite navigation system global navigation satellite system
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
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H2020-EU.2.1.6. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space
MAIN PROGRAMME
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H2020-EU.2.1.6.3. - Enabling exploitation of space data
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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.
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.
IA - Innovation action
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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.
(opens in new window) H2020-SPACE-EGNSS-2019-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
00161 Roma
Italy
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.