“Intelligent transportation systems combine advanced technologies such as sensors, communications, data processing and artificial intelligence to optimise management and operation”
TECNALIA attaches particular importance to the human factor in autonomous driving in order to develop an advanced, intuitive, safe technology.
Intelligent transportation systems are an integrated set of technological solutions that apply communications, control and information technologies to the transport system to improve its efficiency, safety and sustainability. They also combine advanced technologies such as sensors, communications, data processing and artificial intelligence to optimise the management and operation of transport systems. These systems collect, process and distribute real-time information on traffic, infrastructure and vehicle conditions.
TECNALIA is currently taking part in the MEDUSA Network, which is made up of various national research entities (IBV, CTIC and IKERLAN) researching intelligent driving systems.
TECNALIA's role is based around developing autonomous driving systems that are safe and put people at the centre of the approach.
Assisted driving trials
Ten TECNALIA research groups are taking part in the initiative, two of which are carrying out this trial:
- The Connected, Cooperative & Automated Mobility team, with its driving simulator and programming of corrective and evasive driving manoeuvres.
- The Human Factors & User Experience lab, which interprets brain signals to get a better understanding of how people accept and adapt to autonomous driving technology.
Experiments are currently being carried out with 22 participants to test the assisted driving system. To this end, participants have to wear a number of wearables that measure both their brain signals and the galvanic response of their skin and breathing. Eye tracking and pupillometry are also carried out.
In the experiments, participants carry out various tasks to familiarise themselves with the driving simulator. They are given a number of “missions” to complete, during which their psychophysiological signals are collected for later analysis.
The aim of the tests is to optimise the acceptance, usability and safety of intelligent transportation systems (ITS), to ensure that these new technologies are comfortable and reliable for users.
