Project description
Assessing risks in aviation, marine transport sectors
The maritime and aviation industries recognise that Human Factors are key to safety, and are investing considerable resources into dedicated Human Factors activities. However, a systematic approach to collect and assess Human Factors information is missing. There is also a lack of data collection and limited cooperation between different modes of transportation, making risk-based decisions difficult, both for system design and operations. The EU-funded SAFEMODE project will design and validate a risk-informed framework to support Human Factors analysis in design and operations (Human Risk-Informed Design, HURID). Case studies will address known and emerging risks, such as increased levels of automation and remote operations (unmanned ships and drones). Safety data will be collected, analysed and structured into an Open Data Repository (called SHIELD).
Objective
Currently, both maritime and aviation sectors are lacking a systematic approach to collect and assess Human Factors information in normal and emergency conditions. There is also a lack of agreed methodology to assess human-related risks with the aim of influencing design and operation of aircraft and ships. Therefore, the research question being addressed in this project is “How to fully capture human elements and their interaction with the other system elements to enhance safety in maritime and aviation operations?”
It is important to address Human Factors aspects in relation to risk-based design of system and operations in a measurable manner by taking the variation in human behaviour over time and the non-flexibility of machines into consideration.
The main aim of SAFEMODE project is to develop a novel HUman Risk Informed Design (HURID) framework in order to identify, collect and assess Human Factors data to inform risk-based design of systems and operation. These aims have not been achieved previously at a desirable level due to the unavailability of systematically collected data and lack of cooperation between different transport modes.
The focus will be to reduce risks for safety critical situations, (e.g. mid-air collisions, grounding, evacuation, runway excursions etc.) through the enhancement of human performance. This will be achieved through investigation of past accidents, incidents, near-misses, reports, data from everyday operations, including previously unknown uncertainties such as increasing levels of automation and increased number of drones in transportation.
This information will be incorporated the HURID framework and tools and into SHIELD, the open data repository and the living database, that will be maintained and continuously updated.
Fields of science
- natural sciencescomputer and information sciencesdatabases
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- social sciencessociologyindustrial relationsautomation
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- social sciencespsychologyergonomics
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
00185 Roma
Italy
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participants (33)
G1 1XQ Glasgow
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1130 Bruxelles / Brussel
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1059 CM Amsterdam
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1185 Budapest
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31400 Toulouse
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00185 Roma
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57001 Thermi Thessaloniki
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16121 Genova
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34469 Maslak, Istanbul
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PA19 1QP Gourock
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412 96 Goteborg
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2615-315 Vila Franca De Xira
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140180 ZHUKOVSKY
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125319 MOSCOW
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125993 MOSKVA
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117303 MOSCOW
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LE1 9BH Leicester
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157 80 ATHINA
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211 18 Malmo
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31060 Toulouse
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16674 Glyfada Athens
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Swords Dublin
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265 04 Rio Patras
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EC2M 2RB London
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1012WX Amsterdam
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8051 TC HATTEM
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1781 Muntinlupa
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
60111 Surabaya
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3605 KONGSBERG
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430070 Wuhan
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LU2 9TN Luton
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2615315 Alverca Do Ribatejo
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