本研究は，地方自治体における舗装維持管理実態を整理し，その結果を基に効果的な路面点検手法について検討したものである．管理実態調査の結果，地方自治体では，高頻度に道路パトロールを実施しており，段差やポットホールなど局在する路面損傷を重視しているが，路面損傷の定量的な測定が課題となっていることがわかった．そこで，本研究では，加速度センサを用いた簡易路面平坦性測定装置を導入し，その測定結果にリフティングスキームに基づき設計したリフティングウェーブレットフィルタを適用することで，特徴的な路面損傷の検出方法を開発した．本手法は，路面情報の効率的な処理に基づき，損傷検出を自動化できるため，市街地道路における効果的な路面点検に貢献するものと期待できる． This study develops an effective surface inspection method of urban roads taking the pavement management situation of local governments into consideration. According to the results of questionnaire about the pavement management strategies, many local governments frequently monitor their pavement to maintain the surface condition. In the monitoring activities, they focus on localized surface deteriorations due mainly to cracks and potholes. However, the monitoring is conducted by the visual inspection rather than the quantitative measurement. Against this background, we introduce an accelerometer-based mobile profilometer to detect localized distresses such as transverse cracks based on the lifting scheme theory. The theory constructs lifting wavelet filters that include free parameters to enhance diagnostic surface distresses measured by the profilometer. As the result of applying the filters to the roughness profile measurement, the locations of severe distress are automatically identified. This method contributes to the pavement inspection of urban road by the automatic distress detection based on the efficient processing of surface information.
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