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Comparison between the control strategy with recognition of driver intention and the conventional two-parameter gear shifting strategy is presented.
Next, a driver intention estimator is designed to predict driver's intended SWA and the assistance control is activated by judging whether the driver intended SWA is go beyond the safe envelope.
The situation where excessive velocity is not recommended can be described using the situational variables street type (highway), topography (even) and driver intention (not overtaking).
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Within the EU interactIVe project [7] the Authors adopted the same conceptual framework for developing an artificial cognitive system (named co-driver) able to understand the driver intentions and to produce a variety of Driver Assistance Functions [8, 9, 10].
Findings suggested that following experience with the system, drivers' intention to speed significantly weakened, beyond the removal of ISA support.
The utility of both models in explaining drivers' intention to use the systems is discussed, with results showing greater support for the Theory of Planned Behaviour.
Further analysis revealed that, in the prediction of drivers' intentions, speeding attitude was the most frequent violations compared to overtaking.
The results showed that hypothetical high time pressure and unsafe descriptive norm increased drivers' intentions to commit violations, respectively.
Also, he said, bicyclists should watch the vehicles surrounding them for clues that signal their drivers' intentions.
A driver-to-driver communication device could make drivers' intentions clearer and have a positive outcome on the interaction between drivers.
This study aimed to explore the effects of situational variables and impulsiveness on drivers' intentions to violate traffic rules among novice, less experienced and experienced drivers in China.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com