Abstract
Artificial intelligence and knowledge-based systems (KBSs) have been receiving a great deal of attention in the area of transport engineering. Knowledge-based systems appear to be applicable also in the decision-making stage of the planning of transportation systems. Knowledge-based systems are used in solving transportation-planning problems, which often require extensive knowledge bases that need large-scale numerical operations. However, the multidisciplinary and multiobjective nature of transportation planning systems cannot be analyzed by using only KBSs and necessitates computerized assistance techniques, which use the problem-solving process. In fact, such assistance fits well with the definition of decision support systems (DSSs). As a result, it can be said that for transportation planning systems a combination of KBS and DSS—that is, a knowledge-based decision support system (KBDSS)—is the most suitable. This chapter is deals with the development of a KBDSS to help the appropriate selection of transportation infrastructures for water crossing problems. The developed KBDSS model uses the analytic hierarchy process (AHP) to specify the relative importance of the different criteria and subcriteria used for the evaluation of water crossing alternatives.
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