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The proposed structural equation model contributes to the prediction of the onset locations of covering the brake pedal and activating the turn signal based on the vehicle velocity and the relative distances to the front and rear vehicles when the accelerator pedal is released.
The results suggest that the drivers approached the target intersection in a car-following condition, and that the positions of the front and rear vehicles and the vehicle velocity influence the onset location and timing of releasing the accelerator pedal and covering the brake pedal.
The defenders responded by opening fire with anti-tank weapons at very close range – often as short as 20 m – to disable the lead and rear vehicles, trapping the rest of the column, where it could be systematically disabled.
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The color of the vehicle and the background are very similar, but the edge feature is obvious due to the streetlight and the headlight of the rear vehicle.
If the distance between two adjacent vehicles is less than the safety distance, the rear vehicle slows down until the distance between them meets the safety distance requirement.
The outputs of the side, forward, and rear vehicle detection systems at frame are the number of detected vehicles and their corresponding distances to the host vehicle (note that is used here as a distance/range measurement).
It was concluded that the effect of the strong vortex system arising from the slant back was the cause of the drag and lift changes of the rear vehicle.
In the rear vehicle, the tablet shows a driver's-eye-view from the front truck, so the driver behind can keep an eye on what is going on ahead.
Before the foresight brake, to watch the rear view mirror of vehicles, pay attention to the position and the relative driving speed of the rear vehicle, then decide to take according braking measures to prevent from rear-end collision happened.
Overall, the AKN model appears to be superior to the other two models as the predictions from it best agree with the wind tunnel data in terms of drag, total downforce and front-to-rear vehicle balance.
Images involve many different viewpoints of the vehicle rear corresponding to vehicles in different locations relative to the vehicle in which the camera is mounted.
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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