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Seated posture inside a vehicle influences driver performance and control of the vehicle.
Traffic density has been shown to be a factor of traffic complexity which influences driver workload.
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Other studies should be conducted to assess how the peak time influences drivers' behavior.
The battery SOC, monitored along the road at each node, plays a crucial role because it influences drivers' decisions to use the CWD service or not.
Engine capacity is shown to influence drivers' attitudes in all roads outside urban areas, whereas driver's age was found to influence driver's attitude in all types of roads except in motorways.
Understanding how these traffic behaviours dynamically influence driver workload is beneficial in estimating and managing driver workload.
Consequently, different methods of data analysis were applied to determine the aspects that heavily influence driver perception of accident risk.
More information will be gathered on who drives on what types of road, and what environmental and infrastructural characteristics influence driver behaviour.
Results show that, for older and younger drivers, landmarks reduced the time spent glancing to a visual display, reduced navigation and driving errors, and influenced driver confidence.
Will the perceived source of the information influence driver safety, responses to the information, and attitudes toward the computer system and car?
Some road construction sites use smiley signs to influence driver behaviour: At the start of the road works the smiley is sad – but it gets progressively happier as you're nearing the end of the construction zone.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com