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This method also known as "responsibility analysis" is the most relevant for assessing the overall road safety implications of a driver characteristic.
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Table 1 shows driver characteristics of the sample.
The last step was to calibrate the driver behaviour model to reflect local driver characteristics.
The analysis was conducted using the whole sample and then stratified by driver characteristics.
In terms of driver characteristics, male drivers under 55 years of age had the greatest speeding propensity in our sample.
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.
Drivers' choice behavior is influenced by driver characteristics as well as the attributes of car parks and PGI signs.
Bivariable descriptive analyses were performed for driver characteristics, moving violations and crash characteristics stratified by drug/drug categories.
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