Descrizione del progetto
Dispositivi intelligenti controllano le prestazioni di guida
Ogni anno più di 25 000 persone perdono la vita sulle strade dell’UE, mentre altre 135 000 sono gravemente ferite. Tra i fattori di rischio figurano l’eccesso di velocità, il consumo di sostanze (alcol o droghe) e la stanchezza. Il progetto FITDRIVE, finanziato dall’UE, svilupperà un nuovo strumento per monitorare le prestazioni di guida, il carico cognitivo, la fatica fisica e il tempo di reazione. In particolare, creerà modelli neurofisiologici per rilevare l’insorgenza di anomalie nell’idoneità dei conducenti sulla base dei dati ottenuti da dispositivi IoT durante la guida, intelligenza di bordo e tachigrafi intelligenti. I modelli di Intelligenza artificiale assoceranno diversi tipi di comportamento anomalo alla sua causa più probabile (droghe, medicine, alcool, stanchezza, ecc.) e lo comunicheranno al conducente, così come alle pattuglie di polizia.
Obiettivo
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.
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Vedi altri progetti per questo bandoBando secondario
H2020-MG-2020-TwoStages
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
09001 Villalonquejar Burgos
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