Knowledge-Based Data Processing for Automated Condition Surveys and Damage Assessment

国家的维护和修复需要产生了对快速、准确、全面和经济的方法的需求，以测量街道和公路路面的原位状况。这个项目将从可用的感官输入和期望输出的角度来研究测量问题的管理。路面数据的收集和评估是公路管理的一个关键因素。待开发的管理程序将包括知识表示、推理机制、数据和用户界面。研究结果将有利于州和联邦公路管理者。

The nation's maintenance and rehabilitation needs have created a demand for rapid, accurate, comprehensive, and economical methods for surveying the in-situ condition of the streets and highway pavements. This project will investigate the management of measurement problem in terms of the available sensory input and desired output. The collection and assessment of the pavement data is a critical element in highway management. The management procedure to be developed will include knowledge representations, inference mechanisms, and data and user interfaces. The results will be of benefit to State and Federal highway managers.