Academy of Finland  
Funding decision
Organisation University of Jyväskylä
Project title Appropriate uncertainty in manual and automated driving
Applicant / Contact person Kujala, Tuomo
Decision No. 343259
Decision date 03.06.2021
Funding period 01.09.2021 - 31.08.2025
Funding 474 056
Project description
The project develops quantitative models for defining driver, task, and situation specific thresholds of appropriate information sampling frequency from the perspective of traffic safety. By experimental research in driving simulators, the models aim to predict driver and traffic situation specific factors’ effects on the information sampling requirements of the driver when driving manually, assisted by driver assistance systems, or sitting aboard a semi-automated car. The models can enable better understanding of individual variability and adaptations in drivers’ information sampling from the traffic environment. The research can enable development of efficient driver state monitoring algorithms, driver assistance systems, driver training, and safer in-car user interfaces for the drivers. The models are applicable for defining information sampling thresholds and for analysing human operators’ behaviours across dynamic tasks, not only limited to driving.