Sentence examples for evaluating drivers from inspiring English sources

This paper discusses the results for Italy of a CDM model (Crepon et al., 1998) further extended with the objective of evaluating drivers and productivity effects of environmental innovations.

Factor analysis identified latent variables evaluating drivers' patience and inclination to wait for trains, attitudes toward new technology, law enforcement or education regarding HRGC safety, and the propensity to commit serious traffic violations at HRGCs.

Lyft also has an intensive process for evaluating drivers, which includes DMV and criminal background checks, followed by in-person interviews and vehicle inspections.

With the aim of developing a method for evaluating driver distraction based on the difference between simulated and observed eye movements, we integrated a vestibulo ocular reflex (VOR) model and an optokinetic reflex (OKR) model.

Although heart rate measures have been used in evaluating driver workload, prior studies had not compared responses in late middle age and younger adults with samples of sufficient size to begin to explore possible age relationships.

However, to our surprise, and contrary to the results of several studies evaluating driver behavior, such as Hong, Margines and Dey [56], considerable changes in acceleration Z-distribution went unnoticed, even in reckless maneuvers, as shown in Fig. 26.

Both sets of guidelines provide vehicle manufacturers with a variety of criteria for evaluating driver-focused electronics systems regarding the reduction of distraction.

"When we evaluate drivers we evaluate whether a driver is a sponge or is waterproof," Ceccarelli said.

The AAA study echoes the recommendations of many experts who call for the improvement of technology to evaluate drivers' saliva for cannabis use.

Finally, both services use quantified metrics collected through the app to evaluate drivers, including how many ride requests are accepted by a driver, as well as the driver rating.

To better understand and evaluate drivers and long-term consequences of regeneration variability, simulation models that combine statistical models of regeneration with established forest growth and yield models are useful.