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A SURFACE CONDITION EXPERT SYSTEM FOR PAVEMENT REHABILITATION

Stephen G. Ritchie, C-I Yeh, J P Mahoney, N C Jackson

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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 utilized by a limited number of pavement engineering specialists who apply experience and judgement to formulate design and investment decisions. The nature of this process resists computerization using conventional computer tools. In this paper we describe the development of a knowledge-based expert system that is based on programming concepts from the field of artificial intelligence. The system is called SCEPTRE (Surface Condition Expert for Pavement Rehabilitation), 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.

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What this paper is about

Pavement surface condition data play a pivotal role in the analysis and design of pavement rehabilitation strategies. In project design, this information is usually utilized by a limited number of pavement engineering specialists who apply experience and judgement to formulate design and investment decisions. The nature of this process resists computerization using conventional computer tools. In this paper we describe the development of a knowledge-based expert system that is based on programming concepts from the field of artificial intelligence. The system is called SCEPTRE (Surface Condition Expert for Pavement Rehabilitation), 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.

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Available 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 utilized by a limited number of pavement engineering specialists who apply experience and judgement to formulate design and investment decisions. The nature of this process resists computerization using conventional computer tools. In this paper we describe the development of a knowledge-based expert system that is based on programming concepts from the field of artificial intelligence. The system is called SCEPTRE (Surface Condition Expert for Pavement Rehabilitation), 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.

Key concepts: Expert system, Judgement, Engineering, Process (computing), Construction engineering, Driver rehabilitation, Field (mathematics), Subject-matter expert

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