In order to make the detecting of the lanes and the types of the vehicles traveling on various roadways affordable, radio-frequency (RF) system-on-chip is designed and will be mounted on the roadside to collect vehicle information. We use the Fast Fourier Transform (FFT) to transform the signal of the reflecting wave radar into the numerical data, and utilize it by the statistical approach to discriminate the size of cars and the lanes. In order to classify the types of the vehicles, two models are proposed to model the data. One is multivariate analysis of variance model to account for the main effect and the interaction effect between type and lane, the other is the semi-parametric linear mixed effect model to emphasize the functional characteristic of the data. Both models work well when the number of groups is small but deteriorate when the number of groups increases.
|Name||AIP Conference Proceedings|
|Conference||International Conference on Computational Methods in Science and Engineering 2007, ICCMSE 2007|
|Period||25/09/07 → 30/09/07|
- MANOVA; semi-parametric linear mixed effect model; fast Fourier transform (FFT); smoothing spline analysis of variance decompositions; radar