FitDrive – Monitoring devices for overall FITness of DRIVErs
FitDrive is a project aimed at minimizing the risk of accidents through the use of a control device for drivers. The goal of determining fitness to drive is to strike a balance between minimizing driving-related road safety risks to the individual, the community, maintaining the driver’s lifestyle and his or her employment-related mobility independence.
Driving a car is a complex and dynamic task and there are a wide range of conditions that temporarily affect the ability to drive safely, such as substance use or fatigue. Professional drivers are particularly affected by fatigue. The main effect of fatigue is a gradual withdrawal of attention from the road and the demands of traffic, leading to a decrease in driving performance. The particular practice of professional drivers includes working long hours, prolonged night work, working irregular hours, poor or little sleep, and early start times which in many cases lead to fatigue. Fatigue leads to reduced alertness, increased reaction time, memory problems, poorer psychometric coordination and less efficient information processing. Results from different surveys around the world show that more than 50% of long-haul drivers have nearly fallen asleep at the wheel at some point.
The project will design, implement and test a new tool for monitoring and evaluating driving performance, cognitive load, physical fatigue and reaction time.
The system will create neurophysiological models capable of detecting the occurrence of abnormal physical state in drivers, based on data obtained from IoT devices during work and driving activities, on-board intelligence and smart tachographs. Artificial intelligence models will associate different types of abnormal behavior with their most likely cause: drugs, medication, alcohol, fatigue, etc.; and a cloud-based system will communicate to the driver, police patrols and infrastructure the information needed to improve road safety. Drugs and alcohol also have the potential to negatively affect driving skills; the project will also develop screening methods to detect new drugs and reduce the time needed for testing.
- Assess driving performance and cognitive load, physical fatigue and reaction time.
- Develop synthetic neurophysiological models capable of detecting the occurrence of abnormal physical state of drivers (e.g. mental overload, stress and fatigue, drowsiness, effects of alcohol and drugs), due to concomitant variation of specific physiological parameters such as brain activity, cardiac activity, eye activity and skin sweating.
- Integrate information from on-board vehicle intelligence (speed, acceleration, steering, braking, gear use, etc.), and from the driver through non-intrusive IoT devices.
- Develop smart tachographs to retrieve professional data with additional new cryptographic algorithms authenticated secure GNSS, additional features for remote early detection facilities (DSRC) and Bluetooth interface.
- Develop an Artificial Intelligence (AI) system that using biometric, positional and contextual data will create a User Model – “profile” of the driver’s usual behavior – and monitor the user while driving and associate different types of abnormal behavior to their most likely cause: drugs, medication, alcohol, fatigue, etc.
Perform tests safely on a set of simulators (ITALY / SPAIN) with 60 users, to augment the SIMUSAFE project database with new information from professional drivers in standard and altered conditions to feed the AI system.
- Develop a cloud-based system to collect, store and process the collected data and to communicate with the different agents through remote communication solutions and portable devices (e.g. smartphone, tablets).
- Develop an efficient, reliable, cost-effective and socially acceptable solution for the detection of harmful psychoactive substances:
- Design and develop a new set of drug/altering substance detection devices for police roadside checks with 95% sensitivity, specifically studied to significantly reduce the time required (less than 2 minutes) and implemented in conjunction with the indications provided from the cloud-based system
- Exploit, communicate and disseminate FITDrive results.
- Integrate all parties with a focus on interoperability, reliability, acceptability, ethics and safety.
- Perform controlled environment tests in (ITALY / SPAIN) with 30 users to optimize the tools created.
- Perform real tests in 3 different sites (SPAIN; ITALY and IRELAND) with at least 30 end users in total.
- Create 2 new training modules, one for professional drivers and one for road patrols, based on the tests.
- Use the results in the definition of the new driving fitness regulations and other related regulations.
- Communicate and disseminate the results to all stakeholders with target-oriented actions.
- Promote the application of the FITDrive tool to investigate and prevent further effects of altered conditions.
Duration: 36 months
It is a project funded through the Horizon 2020 call: H2020-MG-2018-2019-2020 (2018-2020 Mobility for Growth)
Type of action: RIA
Proposal number: SEP-210671506