Using intelligent agents for Transportation Regulation Support System Design
Pinson, Suzanne; Balbo, Flavien (2010), Using intelligent agents for Transportation Regulation Support System Design, Transportation Research. Part C, Emerging Technologies, 18, 1, p. 140-156. http://dx.doi.org/10.1016/j.trc.2009.04.019
TypeArticle accepté pour publication ou publié
Nom de la revueTransportation Research. Part C, Emerging Technologies
MétadonnéesAfficher la notice complète
Résumé (EN)This paper presents an agent-based approach used to design a Transportation Regulation Support System (TRSS), that reports the network activity in real-time and thus assists the bus network regulators. The objective is to combine the functionalities of the existing information system with the functionalities of a decision support system in order to propose a generic model of a traffic regulation support system. Unlike the other approaches that only deal with a specific task, the original feature of our generic model is that it proposes a global approach to the regulation function under normal conditions (network monitoring, dynamic timetable management) and under disrupted conditions (disturbance assessment and action planning of feasible solutions). Following the introduction, the second section presents the notions of the domain and highlights the main regulation problems. The third section details and motivates our choice of the components of the generic model. Based on our generic model, in the fourth section, we present a TRSS prototype called SATIR (Système Automatique de Traitement des Incidents en Réseau – Automatic System for Network Incident Processing) that we have developed. SATIR has been tested on the Brussels transportation network (STIB). The results are presented in the fifth section. Lastly, we show how using the multi-agent paradigm opens perspectives regarding the development of new functionalities to improve the management of a bus network.
Mots-clésBus network; Public transportation network management; Agent-based Applications; Decision Support System
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