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Based on a fuel cell system model for vehicles, OER performance was analyzed for different stack currents and temperatures in this paper, and the results show that the optimal OER was affected weakly by the stack temperature.
Based on a fuel cell model for vehicles, the relation between OER and net power under various stack currents, and the relation between OER and stack temperature were analyzed.
In this study, a discretionary cut-in risk model for vehicles is developed on the basis of field driving data and machine learning methods, namely, decision trees and Support Vector Machine (SVM).
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We consider a simple traffic model for vehicle moving along a straight road with random velocity.
Empirical studies have shown that Poisson distribution provides an excellent model for vehicle arrival process in free flow state [3].
A wavelet-based 21-point model for vehicle noise feature extraction was established, as was a NN model.
For that purpose, Euler Lagrange equation is used to obtain a mathematical model for vehicle active suspension system.
We analyze this concept from an economic perspective by developing and evaluating a business model for vehicle-grid integration.
The statistical model for vehicle to vehicle communication was first proposed by Akki and Haber[46] and its statistical properties reported in[47].
O'Malley et al. [11] used a HSV (hue, saturation, value) space model for vehicle tracking in the night to find vehicle rear-lamps and paired them.
The proposed simulator uses a generalized Wideband Nakagami Hoyt with diffused line of sight channel model for Vehicle to Vehicle communication[54] environment to generate real time fading data.
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