<p>Tire-pavement interaction noise (TPIN) significantly contributes to overall vehicular noise, particularly at higher speeds, as it arises from the dynamic interaction between vehicle tires and road surfaces. Accurately quantifying TPIN is critical for developing noise mitigation strategies, and researchers have employed various measurement techniques to assess it under different conditions and pavement types. This study proposes a frequency analysis-based approach for TPIN quantification and compares it with the widely used logarithmic subtraction method. Controlled pass-by tests were conducted on both asphalt and cement concrete pavements across multiple speeds and frequency ranges. Results show that TPIN increases with speed for all pavement types, and frequency-specific crossovers between engine noise and TPIN are clearly observed using the frequency method but not in the subtraction method. Furthermore, the subtraction method consistently overestimates TPIN, as it does not isolate frequency-dependent noise characteristics. To address this limitation, empirical relationships have been developed to estimate frequency-based TPIN using values obtained from the subtraction method, enabling more accurate predictions in scenarios where frequency analysis tools are unavailable. The findings offer valuable insights into pavement acoustic performance and provide a foundation for more effective TPIN reduction measures and improved transportation noise management practices.</p>