Decision making system for regulation of a bimodal urban transportation network, associating a classical and a multi-agent approaches

Karim Bouamrane (1, 2) , Christian Tahon (1) , Marc Sevaux (1) , Bouziane Beldjilali (2)

1 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201
2 Université d'Oran 1 Ahmed Ben Bella [Oran]

To offer high quality services, when users are increasingly demanding and competition more and more hard, is now a major problem that transportation companies are faced with. So, ensuring a regular traffic needs to identify the randomly occurring disturbances that affect the transportation system and to eliminate or reduce their impacts on the traffic. This paper presents a decision support system TRSS (Traffic Regulation Support System). TRSS is a supervision environment for the regulation of urban transportation system. TRSS (tram and bus) is based on the regulation operator decision-making process. It provides the operator with the information he needs to identify disturbances and evaluate potential corrective actions to be carried out, according to the regulation strategy he has selected. The first part of the paper presents the decision model we work with. The second part deals with the functional model used in the decision support system. Decision support system for transportation and characteristics of a DSS for a transportation system are described in the third part. In the fourth part, we present the components of the decision-making TRSS supervision tool. In the fifth part, we present the criteria of evaluation and the sixth part is devoted to the presentation of the results.

Mots clés: urban transportation system (UTS); regulation; decision support system; cognitive engineering; case-based reasoning (CBR)

Domaines: Recherche opérationnelle [math.OC]; Système multi-agents [cs.MA]; Autre

Karim Bouamrane, Christian Tahon, Marc Sevaux, Bouziane Beldjilali. Decision making system for regulation of a bimodal urban transportation network, associating a classical and a multi-agent approaches. Informatica, 2005, 16 (4), pp.473-502. ⟨10.15388/Informatica.2005.111⟩. ⟨hal-00369092⟩