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To solve the problem of low efficiency caused by the heavy traffic in the gas station at the peak time, a method for real-time vehicle detection and tracking using Adaboosting classifier and optical flow tracking is proposed in this paper. The Adaboosting algorithm is used to train the classifier with Haar-like feature extracted from positive samples and negative samples of the gas station vehicles...
Supposed the perception of traffic information and the controlling decision of vehicles are correct. The delay of controlling actions is researched in the paper, and the function of driver non-response probability is advanced. Based on the function, the timing curve of divers' response is made. Then the risk model of Rear-ends accidents is established to evaluate the probability of Rear-end accident,...
In this paper, based on the existing sample data, give normal and lognormal distribution on group drivers reaction time separately, obtained the majority drivers’ perceived reaction time within 1.5s. Utilize the research results of cognitive psychology, and set up linear model under the hypothesis that the driver’s vision receive external emergent stimulation (interference), and does not consider...
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