Abstract
Pavement surface condition data play a pivotal role in the analysis and design of pavement rehabilitation strategies. In project design, this information is usually used by a limited number of pavement engineering specialists who apply experience and judgment to formulate design and investment decisions. The nature of this process resists computerization using conventional computer tools. The development of a knowledge-based expert system that is based on programming concepts from the field of artificial intelligence is described. The system is called SCEPTRE, and assists highway engineers in planning cost-effective flexible pavement rehabilitation strategies at the project level. The use of an expert-systems approach permits SCEPTRE to make its specialized body of knowledge accessible to a much broader range of potential engineering users.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
