通过传统和创新方法预测道路质量和可达性指标（英）

DECEMBER 2025 PREDICTING ROAD QUALITYAND ACCESSIBILITY INDICATORSTHROUGH CONVENTIONALAND INNOVATIVE METHODS DECEMBER 2025 Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO) © 2025 Asian Development Bank6 ADB Avenue, Mandaluyong City, 1550 Metro Manila, PhilippinesTel +63 2 8632 4444; Fax +63 2 8636 2444www.adb.org Some rights reserved. Published in 2025. ISBN 978-92-9277-552-0 (print); 978-92-9277-553-7 (PDF); 978-92-9277-554-4 (ebook)Publication Stock No. TCS250507-2DOI: http://dx.doi.org/10.22617/TCS250507-2 The views expressed in this publication are those of the authors and do not necessarily reflect the views and policiesof the Asian Development Bank (ADB) or its Board of Governors or the governments they represent. ADB does not guarantee the accuracy of the data included in this publication and accepts no responsibility for anyconsequence of their use. The mention of specific companies or products of manufacturers does not imply that theyare endorsed or recommended by ADB in preference to others of a similar nature that are not mentioned. By making any designation of or reference to a particular territory or geographic area in this document, ADB does notintend to make any judgments as to the legal or other status of any territory or area. This publication is available under the Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO)https://creativecommons.org/licenses/by/3.0/igo/. By using the content of this publication, you agree to be boundby the terms of this license. For attribution, translations, adaptations, and permissions, please read the provisionsand terms of use at https://www.adb.org/terms-use#openaccess. This CC license does not apply to non-ADB copyright materials in this publication. If the material is attributedto another source, please contact the copyright owner or publisher of that source for permission to reproduce it.ADB cannot be held liable for any claims that arise as a result of your use of the material. Please contact pubsmarketing@adb.org if you have questions or comments with respect to content, or if you wishto obtain copyright permission for your intended use that does not fall within these terms, or for permission to usethe ADB logo. Corrigenda to ADB publications may be found at http://www.adb.org/publications/corrigenda. Tables, Figures, and Boxes Foreword Abbreviationsvii I.Background Introduction1Compiling Sustainable Development Goal Indicator 9.1.1: Rural Accessibility Index5Asian Development Bank Technical Assistance15 II.Review of Approaches for Road Pavement Condition Assessment17 Road Performance: Structural and Functional Performance17Performance Metrics for Road Quality Assessment18Overview of Pavement Condition Assessment Methods21Pavement Roughness Evaluation Methods22Pavement Condition Data Required for Condition Evaluation27Traditional Techniques of Pavement Condition Assessment29Use of Satellite Imagery and Machine Learning for Road Quality Monitoring32Use of Computer Vision Algorithms for Predicting Road Quality34 References 41 Tables, Figures, and Boxes Tables 1Rural Accessibility Index as Reported in the Asian Transport Outlook National Database142Pavement Roughness Indexes193Comfortable Speed for Different Roughness Values204International Roughness Index Thresholds at Different Speeds and Ride Quality Levels205Summary of Each Class and Respective Measurement Accuracy216Classification of Devices Used to Measure the International Roughness Index227Present Serviceability Rating Description per Federal Highway Administration Guidelines25from HPMS Field Manual8Typical Data Types Collected at the Network Level Evaluation289Automated Data Collection Technologies3010Studies Using Satellite Imagery and Machine Learning for Road Quality Monitoring33 Figures1Estimated Transport Infrastructure Investment Needs (Construction, Maintenance, 2Climate-Proofing), by Sector2Estimated Transport Infrastructure Investment Needs per Subregion, 2020 to 203523Methodology for Measuring the Rural Accessibility Index74Rural Accessibility Index85Estimated Rural Accessibility Index in 2019, by 2030, and Average106Rural Accessibility Index Measurement Tool—Asia and the Pacific117Rural Accessibility Index (RAI) Comparison—Sustainable Development Goal12Global Database Versus Azavea RAI Measurement Tool8Pavement Roughness Derivation from a Longitudinal Profile189A Typical High-Speed Inertial Profiler2410Arrangement of a Response Type Roughness Measurement System24 Boxes 1Road Quality as a Catalyst for Poverty Reduction and Economic Development—Insights3from the Philippines and Thailand2Initiatives on Measuring83Transport Research Laboratory Supplemental Guidelines94Methods in Measuring the International Roughness Index in the Philippines and Thailand31 Foreword Road quality monitoring plays a crucial role in ensuring safe, reliable, and efficient transportationsystems. These, in turn, drive economic development, promote social inclusion,