期刊
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
卷 21, 期 3, 页码 419-429出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2007.05.007
关键词
public transportation systems; traffic regulation; multicriteria optimization; multi-agent systems; pareto optimality; a-efficiency; plurality voting
Due to several external and internal disturbances affecting public transportation systems, some regulation measures have to be undertaken. In the regulation process, the regulator has to evaluate a number of possible decisions in order to determine best compromise of some regulation criteria. The complexity of this task increases when numerous disturbances appear simultaneously and mainly when regulation criteria are contradictory. For these reasons, we propose in this paper a multi-agent model that deals with decision evaluation step as a multicriteria optimization problem. In this model, the best compromise is determined by means of the following concepts: Pareto optimality, a-efficiency and plurality voting. The process of the proposed approach is shown through an illustrative example. (C) 2007 Elsevier Ltd. All rights reserved.
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