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Monitoring devices for overall FITness of Drivers

Project description

Smart devices check driving performance

Every year more than 25 000 people lose their lives on EU roads, while another 135 000 are seriously injured. Risk factors include speeding, consumption of substances (alcohol or drugs) and fatigue. The EU-funded FITDRIVE project will develop a new tool for monitoring driving performance, cognitive load, physical fatigue, and reaction time. Specifically, it will create neurophysiological models to detect the onset of abnormal drivers’ fitness based on data obtained from IoT devices while driving, on board intelligence and smart tachographs. Artificial Intelligent models will associate different kinds of anomalous behaviour to its most probable cause (drugs, medicines, alcohol, fatigue etc.) and communicate this to the driver, as well as police patrols.

Objective

The aim of determining fitness to drive is to achieve a balance between minimising any driving-related road safety risks for the individual and the community and maintaining the driver’s lifestyle and employment-related mobility independence. Driving a car is a complex and dynamic task and there is a wide range of conditions that temporarily affect the ability to drive safely like consuming substances or fatigue. Professional drivers are particularly affected by fatigue. The main effect of fatigue is a progressive withdrawal of attention from the road and traffic demands leading to impaired driving performance. The particular practice of professional drivers include working long hours, prolonged night work, working irregular hours, little or poor sleep, and early starting times which in many cases lead to fatigue. Fatigue causes reduced alertness, longer reaction times, memory problems, poorer psychometric coordination, and less efficient information processing. The results of different surveys world-wide show that over 50% of long-haul drivers have at some time almost fallen asleep at the wheel. The project will design, implement and test a new tool, for the monitoring and evaluation of driving performance, cognitive load, physical fatigue and reaction time. The system will create neurophysiological models able to detect the onset of abnormal drivers’ fitness based on data obtained from IoT devices during working activities and while driving, on board intelligence and smart tachographs. Artificial Intelligent models will associate different kinds of anomalous behaviour to its most probable cause: drugs, medicines, alcohol, fatigue, etc.; and a cloud-based system will communicate driver, police patrols, infrastructure the necessary information to improve road safety.
Drugs and alcohol have also the potential to adversely affect driving skills; the project will also develop screening methods to detect new drugs and to reduce the time needed to perform the tests.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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RIA - Research and Innovation action

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Call for proposal

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(opens in new window) H2020-MG-2018-2019-2020

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Coordinator

FUNDACION INSTITUTO TECNOLOGICO DE CASTILLA Y LEON
Net EU contribution

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.

€ 548 957,00
Address
CALLE LOPEZ BRAVO 70 POLIGONO INDUSTRIAL
09001 Villalonquejar Burgos
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Centro (ES) Castilla y León Burgos
Activity type
Research Organisations
Links
Total cost

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.

€ 548 957,00

Participants (10)

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