Abstract
Modern intelligent transportation systems are complicated objects using adaptive control algorithms. These algorithms are based on sources of observation consisting of heterogeneous parameters describing functioning of the system, as well as retrospective information about the system behavior. The quality of management decisions depends on the good formulation of criteria for the functioning of the system and their optimal values. Criteria may have a different orientation: safety criteria, economic criteria, environmental criteria, etc. The need to take into account heterogeneous criteria leads to multicriteria optimization tasks. The paper presents approaches to formalize a multicriteria optimization for the functioning of transportation systems. Depending on the structure of the multicriteria optimization problem relevant algorithms for its solution are presented.
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