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Modeling, multi agent approach and tools for decision support systems applied urban road traffic

Modeling, multi agent approach and tools for decision suppor...

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International Symposium on ISKO-Maghreb Concepts and Tools for knowledge Management (ISKO-Maghreb)

作者： Najia Bouha Laboratory Image and Forms Recognition - Intelligent Systems and Communicating IRF -CIS Morocco

The design, engineering and management of urban traffic systems have become increasingly difficult and costly because existing configurations are multiple and complex. Our goal in this article is to present a state of the art modeling techniques, namely the macroscopic model, mesoscopic and microscopic. And we see that in order to solve problems related to space and time encountered in the above models, a new scale model called hybrid appeared. The latter aims to take advantage of conventional models, by adopting the scale model of the phenomenon. The main objective of the system is to improve urban traffic flow and optimize the flow through operating rules and management. However, the problems related to the design of control systems is the control of the spatial and temporal consistency of decisions, given the characteristics of controlled systems and their environment. The second part of this article will be devoted to the study of some tools to help the existing decision. On the other hand, the approach based on agents used to design models of non-centralized control and self-organized and to improve system responsiveness decision. Un agent is a hardware or software that supports context autonomous decision-making The last part of this article discusses these concepts and the concepts of multi-agent approach.

关键词： Vehicles Microscopy Computational modeling Roads Adaptation models Vehicle dynamics Control systems

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Modeling and simulation of multi-agent systems: Principle influence / reaction

Modeling and simulation of multi-agent systems: Principle in...

引用

Colloquium in Information Science and Technology (cisT)

作者： Najia Bouha Laboratory Image and Forms Recognition - Intelligent Systems and Communicating IRF - SIC - university Ibnou Zohr - Agadir - Morocco Laboratory of Computer Engineering and Automatic of Artois LGI2A - university Artois 62400 - Béthune - France

This paper presents a state of the art modeling techniques, namely the macroscopic model, mesoscopic and microscopic. And we will see that in order to solve problems related to space and time encountered in the above models, a new scale model called hybrid appeared Its purpose is to take advantage of conventional models, by adopting the model of the phenomenon. The simulation of multi-agent systems based on the direct representation of behaviors, actions and interactions of a set of autonomous entities operating in a common environment. In this context, the global dynamics of a system at the macroscopic level is seen as the result of the outcome of dynamic interactions that take place at the microscopic level. One of the problems associated with this approach is the link between these two levels of modeling, which is fundamental. However, deduct the macroscopic dynamics of a system based on the dynamics of microscopic level raises many technical and conceptual problems. The model Influence / Reaction of Ferber and Müller will be discussed in detail in this article we will emphasize its shortcomings, and present later the IRM4S (An Influence Reaction Model for Simulation) model that clearly explains the principleand which allows to articulate modeling micro level with the macro-level.

关键词： Decision support systems Computational modeling Microscopy Multi-agent systems Analytical models Extraterrestrial phenomena Context

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