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In this paper, we investigate the performance of recently proposed driver-behavior modeling techniques for car-following task based on Gaussian mixture model (GMM) and piecewise auto regressive exogenous (PWARX) algorithms. Both driver-behavior modelings are employed to anticipate car-following driving behavior in terms of pedal control behavior (brake and gas/accelerator pedal operation) in response...
We investigate the driving behavior differences at unsignalized intersections between expert and nonexpert drivers. By analyzing real-world driving data, significant differences were seen in pedal operations but not in steering operations. Easing accelerator behaviors before entering unsignalized intersections were especially seen more often in expert driving. We propose two prediction models for...
Time series analysis is used in various fields such as not only in economics but also in pattern recognition, biometrics, and Kansei engineering field. The problem of predicting time series can be classified into three in a practical sense. The first problem is how to make a model for prediction, that adequately represents the characteristics of the past time series data. The second problem is how...
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