Generation of Spatial Road Spectrum for Various Road Classes

This system enables the generation of spatial road spectra for various road classes based on specific requirements. The implementation involves collecting and analyzing multidimensional pavement data through specialized algorithms that process parameters such as pavement material properties, quality metrics, surface geometry, and texture characteristics. Key functions include data preprocessing modules for noise filtering, spectral analysis algorithms using Fast Fourier Transform (FFT) techniques, and classification models that categorize road surfaces according to international standards (e.g., ISO 8608). The generated road spectrum provides quantitative characterization of pavement properties, enabling better understanding of different road surfaces' characteristics and applicability. This facilitates optimal road type selection for specific applications. Furthermore, the system incorporates vehicle-type adaptation algorithms that match pavement spectra with vehicle dynamics parameters - including suspension properties and tire characteristics - to determine the most suitable road surfaces for different vehicle categories. The spectral generation process employs interpolation methods for spatial continuity and wavelet analysis for multi-resolution feature extraction. This technical approach ensures the road spectrum accurately represents real-world pavement conditions while maintaining computational efficiency. The resulting spatial road spectrum database serves as a critical resource for infrastructure planning, vehicle development, and transportation optimization, providing enhanced pavement selection capabilities and improved service customization for diverse vehicle types and operational requirements.