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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 35
DEVELOPMENTS IN ARTIFICIAL INTELLIGENCE FOR CIVIL AND STRUCTURAL ENGINEERING
Edited by: B.H.V. Topping
Paper XIII.4

Computer-Based Training in Transportation using a Knowledge-Based Approach

W.J. Grenney and T.E. Senti

Computer Based Intelligent Technology Laboratory, Utah State University, Logan, USA

Full Bibliographic Reference for this paper
W.J. Grenney, T.E. Senti, "Computer-Based Training in Transportation using a Knowledge-Based Approach", in B.H.V. Topping, (Editor), "Developments in Artificial Intelligence for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 261-267, 1995. doi:10.4203/ccp.35.13.4
Abstract
Utah Highway Patrol Officers are required to recertify every two years for the use of radar speed control guns. This paper describes the development of a computer based system to replace the classroom recertification training. This new approach allows the officers to be recertified remotely by having their exam results transmitted to a central server. The focus of this paper is on how the original training program was moved into a Computer Based Training environment using expert system and rule-base methodologies. The application has been implemented in a Windows hosted knowledge-base builder called "Flexpert." Background information on the problem, implementation details, and program effectiveness are presented.

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