Distributed decision evaluation model in public transportation systems

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 co...

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Bibliographic Details
Published in:Engineering applications of artificial intelligence 2008-04, Vol.21 (3), p.419-429
Main Authors: Boudali, Imen, Ben Jaafar, Inès, Ghedira, Khaled
Format: Article
Language:English
Subjects:
a-efficiency
Multi-agent systems
Multicriteria optimization
Pareto optimality
Plurality voting
Public transportation systems
Traffic regulation
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Summary: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.
ISSN:0952-1976
1873-6769
DOI:10.1016/j.engappai.2007.05.007