Computational Technology Resources - CCP

W.J. Grenney and H.N. Marshall

Department of Civil and Environmental Engineering, Utah State University, Logan, USA

doi:10.4203/ccp.12.3.1

W.J. Grenney, H.N. Marshall, "Prototype Rule-Based Decision Support System for Winter Highway Maintenance", in B.H.V. Topping, (Editor), "Artificial Intelligence and Civil Engineering", Civil-Comp Press, Edinburgh, UK, pp 71-75, 1991. doi:10.4203/ccp.12.3.1

Abstract

Snow and ice on mountain highways create severe winter driving hazards in many areas of the Intermountain West, USA. The expansive area is sparsely populated, and remote sensors are sometimes used for alerting maintenance personnel to hazardous conditions. A prototype decision support model is being developed to serve two purposes: 1) provide menu driven user friendly interfaces for obtaining and displaying weather forecasts and data from remote sensors and 2) provide a rule-based advisor to assist the foremen in making timely and appropriate decisions. The model was programmed in C++ using an object oriented structure. The rule base was developed by a panel of maintenance foremen and the prototype model has been applied to case studies in Utah and Colorado.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 12 ARTIFICIAL INTELLIGENCE AND CIVIL ENGINEERING Edited by: B.H.V. Topping Paper III.1 Prototype Rule-Based Decision Support System for Winter Highway Maintenance W.J. Grenney and H.N. Marshall Department of Civil and Environmental Engineering, Utah State University, Logan, USA doi:10.4203/ccp.12.3.1 purchase the full-text of this paper Full Bibliographic Reference for this paper W.J. Grenney, H.N. Marshall, "Prototype Rule-Based Decision Support System for Winter Highway Maintenance", in B.H.V. Topping, (Editor), "Artificial Intelligence and Civil Engineering", Civil-Comp Press, Edinburgh, UK, pp 71-75, 1991. doi:10.4203/ccp.12.3.1 Abstract Snow and ice on mountain highways create severe winter driving hazards in many areas of the Intermountain West, USA. The expansive area is sparsely populated, and remote sensors are sometimes used for alerting maintenance personnel to hazardous conditions. A prototype decision support model is being developed to serve two purposes: 1) provide menu driven user friendly interfaces for obtaining and displaying weather forecasts and data from remote sensors and 2) provide a rule-based advisor to assist the foremen in making timely and appropriate decisions. The model was programmed in C++ using an object oriented structure. The rule base was developed by a panel of maintenance foremen and the prototype model has been applied to case studies in Utah and Colorado. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £60 +P&P)
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