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With the rapid growth of ecnomics and increasement of total
highway mileages, a fast and automatic method for pavement
inspection is required to improve inspection efficiency and
decrease both the impacts on traffic and social cost. There
exist numerous of intelligent automatic methods for pavement
inspection, this study nevertheless focuses on integrated
automatic inspection system - Intelligent Vehicle for Highway
Safety Inspection. The present inspection items and their
detecting methods are analysed tn application framework and
detecting techniques for special environment in Taiwan will be
constrcted. According to the application framework, 4 pavement
engineering items - cracks, roughness, rut depth and skid
resistance are chose to establish a data processing system based
on database with Microsoft Access 7.0. The detecting data from
Intelligent Vehicle for Highway Safety Inspection can be
analysed and stored by the data processing system. The study
reveals that present automatic inspection methods abro can be
coordinated with the present domestic artificial inspection
criteria or engineering demands and from the database the PSI
can be evaluated for engineering decision makers.
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