KQML as an agent communication language
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Dynamic modeling of a disturbance in a multi-agent system for traffic regulation
Decision Support Systems
Distributed decision evaluation model in public transportation systems
Engineering Applications of Artificial Intelligence
Time constrained VRP: an agent environment-perception model
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Dynamic modeling of a disturbance in a multi-agent system for traffic regulation
Decision Support Systems
Environment as active support of interaction
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Environmental support for tag interactions
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
A review of the applications of agent technology in traffic and transportation systems
IEEE Transactions on Intelligent Transportation Systems
An operational model for mutual awareness
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Agent information server: a middleware for traveler information
ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World
Overhearing and direct interactions: point of view of an active environment
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
A transportation decision support system in agent-based environment
Intelligent Decision Technologies
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In this paper, a multi-agent system (MAS) for bus transportation management is presented. The aim of our MAS is 1) to diagnose problems in the bus lines (bus delays, bus advances,...) and 2) to detect inconsistency in positioning data sent by buses to the central operator. Our MAS behaves as a Multi-Agent Decision Support System (MADSS) used by human regulators in order to manage bus lines. In our model, buses and stops are modeled as autonomous agents that cooperate to detect faults (disturbances) in the transportation network. An original interaction model called ESAC (Environment as Active Communication Support) was designed to allow nonintentional as well as direct communication. The system was implemented using ILOG RULES and was tested on data coming from the Brussels bus transportation network (STIB).