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Drivers eye movement data in simulated construction conflicts at different speeds were collected and analyzed to find the relationship between the drivers’ eye movement and the construction conflict. On the basis of the relationship between the drivers’ eye movement and the construction conflict, the peak point of wavelet processed pupil diameter, the first point on the left side of the peak point and the first blink point after the peak point are selected as key points for locating construction conflict periods. On the basis of the key points and the GSA, a construction conflict recognition method so called the CCFRM is proposed. And the construction conflict recognition speed and location accuracy of the CCFRM are verified. The good performance of the CCFRM verified the feasibility of proposed key points in construction conflict recognition.

In this paper, a quantitative system of undergraduates' creative ability is proposed through analyzing characteristics of Amabile creative theory, and the objectivity and feasibility of CAT, TTCT and AMS in creative ability quantification. The academic test scores, TTCT scores and AMS scores are used as the quantitative index of professional skills, innovation skills and task motivation in the quantitative system of undergraduates’ creative ability. Classification method of undergraduates’ creative ability using distance based K-medoids clustering method is proposed based on the quantitative system to improve the pertinence of creative ability cultivation. The feasibility and effectiveness of proposed classification method are verified by instance verification and effect analysis.

Accurate location of driver eyes has a positive meaning for eye state detection. This paper presents a new algorithm which is fusion of a mixed color model, integral projection and Prewitt algorithm. First, establishes a mixed color model to locate faces in color space, and finds face area through integral projection and formwork design based on MATLAB. Then eye area is detected through integral projection and a curve optimal. In the end, localizes eyes accurately using Prewitt algorithm and morphologic processing. The effectiveness of the algorithm is verified by the simulation analysis.