Driver Assistance Measure for Low-Emission MAGV

Aksjonov Andrei
2017 Zenodo  
Elaboration of the driver advisory functions related to the vehicle and traffic safety improvement, emission reduction and energy-efficiency increase. These functions will be realized in human-machine interface (HMI) systems with visual and haptic channels supporting interactions between the driver and on-board systems of Multi-Actuated Ground Vehicle (MAGV). The identification technique for the driver parameterization and advisory HMI functions will be developed basing on the computational and
more » ... e computational and artificial intelligence methods. The whole system will be tested on an existing equipment, including the advanced driver simulator test rigs with the ability for measuring the driver's bio-physiological parameters, as well as on a commercial MAGV.
doi:10.5281/zenodo.3370952 fatcat:2ihgof2dzreenloaftdzkimzwy