Automated management for pavement inspection system (AMPIS)

Hung Chi Chung; Roberto Girardello; Tony Soeller; Masanobu Shinozuka

doi:10.1117/12.508493

18 August 2003 Automated management for pavement inspection system (AMPIS)

Hung Chi Chung, Roberto Girardello, Tony Soeller, Masanobu Shinozuka

Proceedings Volume 5057, Smart Structures and Materials 2003: Smart Systems and Nondestructive Evaluation for Civil Infrastructures; (2003) https://doi.org/10.1117/12.508493
Event: Smart Structures and Materials, 2003, San Diego, California, United States

Abstract

An automated in-situ road surface distress surveying and management system, AMPIS, has been developed on the basis of video images within the framework of GIS software. Video image processing techniques are introduced to acquire, process and analyze the road surface images obtained from a moving vehicle. ArcGIS platform is used to integrate the routines of image processing and spatial analysis in handling the full-scale metropolitan highway surface distress detection and data fusion/management. This makes it possible to present user-friendly interfaces in GIS and to provide efficient visualizations of surveyed results not only for the use of transportation engineers to manage road surveying documentations, data acquisition, analysis and management, but also for financial officials to plan maintenance and repair programs and further evaluate the socio-economic impacts of highway degradation and deterioration. A review performed in this study on fundamental principle of Pavement Management System (PMS) and its implementation indicates that the proposed approach of using GIS concept and its tools for PMS application will reshape PMS into a new information technology-based system providing a convenient and efficient pavement inspection and management.

Citation Download Citation

Hung Chi Chung, Roberto Girardello, Tony Soeller, and Masanobu Shinozuka "Automated management for pavement inspection system (AMPIS)", Proc. SPIE 5057, Smart Structures and Materials 2003: Smart Systems and Nondestructive Evaluation for Civil Infrastructures, (18 August 2003); https://doi.org/10.1117/12.508493

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