Literature review toward decentralized railway traffic management

Elisa Marcelli (1) , Paola Pellegrini (2)

1 School of Science and Technology [Camerino]
2 IFSTTAR/COSYS/LEOST - Laboratoire Électronique Ondes et Signaux pour les Transports

This paper addresses the analysis of the state of the art to tackle problems which may help in designing a decentralized railway traffic management system. The goal is the study of new ways for modelling railway traffic flow, for example, based on the idea of multi-agent systems. In the first part, we discuss the possibility of exploiting the existing research works on driving agents in road traffic management. The analysis of these works makes it clear that road and railway traffic management are not so similar as far as decision making is concerned. Hence, we consider three different approaches. First, we analyse existing consensus problem papers dealing with multi-agent systems. Then, we study the problem of reaching a common decision in decentralized systems using the approach of hierarchical self-organization. Finally, we consider task allocation models. After the overview, a brief analysis about further possible directions is discussed, focusing the attention on some promising models.

Mots clés: RAILWAY TRAFFIC MANAGEMENT; MULTI-AGENT SYSTEM; CONSENSUS PROBLEM; HIERARCHICAL SELF-ORGANIZATION; TASK ALLOCATION

Mots clés: TRANSPORT FERROVIAIRE; GESTION DU TRAFIC; MODELISATION; AIDE A LA DECISION

Domaines: Optimisation et contrôle [math.OC]

Elisa Marcelli, Paola Pellegrini. Literature review toward decentralized railway traffic management. [Research Report] IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux. 2018, 10p. ⟨hal-01759779⟩