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In prediction experiments, the data are divided into two subsets.
We prototyped CARAM and run experiments the data in STAR [4] during the course of 2015.
SF contributed to the experiments, the data analysis and the manuscript.
In order to accommodate our range of experiments, the data was divided into sub-datasets.
For the experiments, the data are collected from twenty drivers who drove in different lane departure situations.
That is because in the current simulation experiments, the data quantity sent and received by nodes is usually fixed.
In our experiments, the data were separated into the same training and testing sets as specified by Sutherland et al. [27].
For these experiments, the data set that is prepared for every 2 h of updating is taken as the base data and divided into three different data sets.
In our experiments, the data sizes followed a normal distribution with the mean varying from 50 KB to 150 KB and a variance of 900 KB2.
The developed empirical equations were validated by comparing the predicted and measured values on a new set of experiments, the data for which were not used for regression.
Consistent with recent small-scale experiments, the data clearly show that in comparison to monochromatic conditions the bichromatic wave groups reduce onshore transport during accretive conditions and increase offshore transport during erosive conditions.
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