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On the Use of the Multi-Agent Environment for Mobility Applications

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  • Mahdi Zargayouna

    (GRETTIA Laboratory, University Gustave Eiffel, COSYS-GRETTIA, F-77454 Marne-la-Vallée, France)

Abstract

The multi-agent environment is now widely recognised as a key design abstraction for constructing multi-agent systems, equally important as the agents. An explicitly designed environment may have several roles, such as the inter-mediation between agents, the support for interaction, the embodiment of rules and constraints, etc. Mobility applications fit perfectly with a design in the form of a multi-agent system with an explicit environment model. Indeed, in these applications, the components of the system are autonomous and intelligent (drivers, travellers, vehicles, etc.), and the transportation network is a natural environment that they perceive and on which they act. However, the concept of the multi-agent environment may be profitably used beyond this specific geographical context. This paper discusses the relevance of the multi-agent environment in mobility applications and describes different use cases in simulation and optimisation.

Suggested Citation

  • Mahdi Zargayouna, 2022. "On the Use of the Multi-Agent Environment for Mobility Applications," Future Internet, MDPI, vol. 14(5), pages 1-16, April.
  • Handle: RePEc:gam:jftint:v:14:y:2022:i:5:p:132-:d:803490
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    References listed on IDEAS

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    1. Michel Gendreau & François Guertin & Jean-Yves Potvin & Éric Taillard, 1999. "Parallel Tabu Search for Real-Time Vehicle Routing and Dispatching," Transportation Science, INFORMS, vol. 33(4), pages 381-390, November.
    2. Marius M. Solomon, 1987. "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints," Operations Research, INFORMS, vol. 35(2), pages 254-265, April.
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