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Table 1 shows driver characteristics of the sample.
The analysis was conducted using the whole sample and then stratified by driver characteristics.
The last step was to calibrate the driver behaviour model to reflect local driver characteristics.
Other variables included driver characteristics, which showed expected results, validating the model.
It is quite difficult to simulate the effects of these driver characteristics into the traffic accidents.
However, the effects of driver characteristics on the general design of CCPSs have remained relatively unexamined.
Roadway design, signal placement, and driver characteristics are integrated into one analytic framework.
Bivariable descriptive analyses were performed for driver characteristics, moving violations and crash characteristics stratified by drug/drug categories.
Here driver characteristics, environmental factors and trip characteristics (short/long, presence of passengers) will be compared to actual seatbelt use.
This model considers detailed characterization of the roundabout geometry, while the circulating flow (Q c) and driver characteristics are neglected.
Drivers' choice behavior is influenced by driver characteristics as well as the attributes of car parks and PGI signs.
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CEO of Professional Science Editing for Scientists @ prosciediting.com