Distributed decision evaluation model in public transportation systems

被引：9

作者：

Boudali, Imen ^{[1
]}

Ben Jaafar, Ines ^{[1
]}

Ghedira, Khaled ^{[2
]}

机构：

[1] Inst Super Gest, Tunis 2000, Tunisia

[2] ENSI, Tunis 2010, Tunisia

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2008年 / 21卷 / 03期

关键词：

public transportation systems; traffic regulation; multicriteria optimization; multi-agent systems; pareto optimality; a-efficiency; plurality voting;

D O I：

10.1016/j.engappai.2007.05.007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：419 / 429

页数：11

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