A Fuzzy-based System for Maintenance Planning of Road Pavements
نویسنده
چکیده
This paper presents a fuzzy-based system that is used for maintenance planning of road pavements. The system has been developed based on knowledge elicitation from experienced maintenance engineers using fuzzy logic. The system includes functions for pavement condition and deterioration prediction, feasible treatment assessment in each pavement section, and maintenance planning in a road network. Pavement condition models have considered pavement age and other influencing factors such as pavement design characteristics, traffic loads, and construction quality. Feasible treatments are set based on distress type, severity, and extent, traffic load, foundation soil type, and pavement age. Maintenance planning is based on a priority list (which is developed considering the distress type and its effect on road safety and functionality, the current pavement condition and the anticipated deterioration rate), the feasible treatments in each case and existing budget constraints. Key-Words: pavement, maintenance, management, expert system, knowledge-based system, fuzzy system, decision making
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