Descripción del proyecto
Dispositivos inteligentes para comprobar el rendimiento de la conducción
Cada año más de 25 000 personas mueren en las carreteras de la Unión Europea, y otras 135 000 sufren lesiones graves. Los factores de riesgo incluyen el exceso de velocidad, el consumo de sustancias (alcohol o drogas) y el cansancio. El proyecto FITDRIVE, financiado con fondos europeos, desarrollará una nueva herramienta para controlar el rendimiento de la conducción, la carga cognitiva, el cansancio físico y el tiempo de reacción. En concreto, creará modelos neurofisiológicos para detectar la aparición de comportamientos anómalos de los conductores en función de los datos obtenidos durante la conducción a partir de dispositivos del internet de las cosas, sistemas de inteligencia integrados y tacógrafos inteligentes. Los modelos de inteligencia artificial asociarán diferentes tipos de comportamientos anómalos con su causa más probable (drogas, medicamentos, alcohol, cansancio, etc.) y comunicará los resultados al conductor y a las patrullas de policía.
Objetivo
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.
Ámbito científico
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-MG-2020-TwoStages
Régimen de financiación
RIA - Research and Innovation actionCoordinador
09001 Villalonquejar Burgos
España