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Wavelet Transform with Application in Roadside Landscape Design

This paper aims to apply the wavelet transform to the study of driver’s heart rate in different roadside landscape patterns. In the methodology, we describe the procedure in detail that implementing wavelet transform to denoise heart rate signal. The result shows the algorithm presented with the best performance is suitable to process heart rate signal. In the case study, taking advantage of the superiority of wavelet transform in time-frequency domain, it is apparent that heart rate is in a state of fluctuation continuously. That confirms that sensitivity of heart rate measure the mental workload. We also observe that landscape transition enhance driver’s heart rate on a small scale, which makes a positive effect on driver and can be adopted as a countermeasure against the fatigue of driver in the further road landscape design.