Wavelet decomposition on acoustic spectrums is a novel method in the field of gas composition sensing. However, the existing method doesn’t explain the relationship between the characteristics of acoustic gas spectrums and the results of wavelet decomposition, and it has high computational complexity. In this paper, we firstly find it can basically keep the recognition rate if the detail coefficients from wavelet decomposition are used to construct samples instead of characteristic coefficients extracted from the detail ones. Nevertheless, the detail coefficients can represent the properties of acoustic gas spectrums, which can’t be represented by characteristic coefficients. Then, we find points of detail coefficients with relatively high recognition rate are mainly distributed in the first three layers. Therefore, it can reduce the computational complexity when three-level decomposition is directly utilized in the method of gas composition sensing.

In the process of conventional traffic control, it often occurs that no vehicles run on a lane when the lane gets a right of way, which lengthens the vehicles waiting time and brings down the guiding efficiency. To get rid of this drawback, this paper proposes a traffic guiding method based on actuated control and phase jump. Time to make a phase jump is decided by the obtained knowledge of queued vehicles. For a light traffic, this paper has deduced the dynamic green time, designed a detector and achieved signal timing by the actuated guiding algorithm; For an almost saturated traffic, the maximum green time and cycle length are restricted by Webster-Monte Carlo Simulation. From the comparison of principles and applications of different guiding strategies, it is found that the method proposed in this paper has a better performance in guiding traffic flow than the existing actuated guiding strategy and the adaptive guiding strategy.