Abstract:To detect drowsy driving accurately, this paper collects the characteristic parameters of driver's operating behavior and vehicle's running state through simulation experiments. Then, the factor analysis was adopted to reduce the dimensionality of the characteristic parameters, and the composite factor scores was computed under both normal and drowsy states, forming a time series. Next, the time series of composite factor scores was divided into information granules and the particle swarm optimization (PSO) wa… Show more
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