In this study, we examine TMT speed and errors in drivers referred for a road test.
The variation in shape and difference in phase of the modeled outputs compared with the measured waveforms (Figures 3 and 4) are due to the lumped parameter nature of the model and errors in the approximated driver functions (driL and driR) used to describe the myocardial contraction.
The variation in shape and difference in phase of the modeled outputs compared with the measured waveforms are due to the lumped parameter nature of the model and errors in the approximated driver functions (driL and driR) used to describe the myocardial contraction.
Understanding and describing driver behavior become a challenge when one tries to identify driver errors in determining accident/conflict causal factors and countermeasures.
The findings of this observational study imply that the method of providing route guidance instruction, in which the traffic conditions surrounding the driver's vehicle are taken into consideration, is effective in reducing driver errors in receiving instruction and following the correct route.
The purpose of this study was to examine older driver errors in serious crashes to determine which errors are most prevalent.
The set of 18 alternatives resulted from safety measures on 6 types of driver errors, in 3 different technological varieties: in-vehicle, infrastructure and combined technologies.
Data measuring driving errors, navigation errors and driver confidence were collected throughout the trial.
Arguing that two pedals side by side often cause driver error in panic situations is merely recognition that drivers occasionally make errors.
In addition, we design a map matching algorithm to calibrate the direction errors when the driver is in an indoor environment, using widely-available building floor plans.
