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In Eq. 3, V, (N_{d2}), (a_k), and (phi _k) are car velocity, number of defect functions, Gaussian random variable with expectation zero, and variance (sigma _k), a random variable with uniform distribution between (0-2pi ) respectivelyctively.
In order to investigate the wake structure around the external rear view mirror of a passenger car, velocity vector fields and spectra of velocity fluctuations in the mirror wake were measured by hot wire anemometry and laser Doppler velocimetry in a blow down wind tunnel at Re=200,000.
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The results of numerical simulations prove that multiple preceding cars' velocity changes with memory have significant effects on car-following behaviors and that using multiple preceding cars' velocity changes with memory feedback in designing a connected cruise control system can improve roadway traffic mobility, enhance traffic safety and reduce fuel consumptions and exhaust emissions.
In this paper, a new connected cruise control strategy considering multiple preceding cars' velocity changes with memory is designed to improve roadway traffic mobility, enhance traffic safety and reduce fuel consumptions and exhaust emissions.
The car's velocity increased in step with the song, prompting its driver's right foot to retreat.
Finally, numerical simulations are conducted to explore how vehicular gap fluctuation affects car's velocity, acceleration, vehicular gap, fuel consumptions and exhaust emissions.
Both differential GPS data processing method and the carrier-phase method with magnetometers' outputs for predicting the car position, velocity, and acceleration (PVA) are presented.
Some numerical simulations were carried out by employing the improved car-following model to explore how headway changes with memory affected each car's velocity, acceleration, headway and fuel consumptions.
The environment is constructed on the basis of a certain scenario (which also takes into account the state of the car: position, velocity and acceleration).
Therefore, how to characterize the non-uniform distribution of cars and velocity, and unique connectivity dynamics is required.
In theory, a C.V.T. should do a better job of choosing the most efficient engine speed for a car's given velocity than a conventional automatic (or a gearshift-mangling teenager) would.
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