Driver workload estimation
Abstract
Measuring driver workload is of great significance for improving the understanding of driver behaviours and supporting the improvement of advanced driver assistance systems technologies. In this chapter, a novel hybrid method for measuring driver workload estimation for real-world driving data is proposed. Error reduction ratio causality (ERRC), a new non-linear causality detection approach, is being proposed in order to assess the correlation of each measured variable to the variation of workload. A full model describing the relationship between the workload and the selected important measurements is then trained via a support vector regression (SVR) model. Real driving data of 10 participants, ...
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