Eric Daudé

  1. A multiagent urban traffic simulation. Part II: dealing with the extraordinary.

    Authors: Pierrick Tranouez, Patrice Langlois, Eric Daudé
    Subjects: Artificial Intelligence
    Abstract

    In Probabilistic Risk Management, risk is characterized by two quantities:
    the magnitude (or severity) of the adverse consequences that can potentially
    result from the given activity or action, and by the likelihood of occurrence
    of the given adverse consequences. But a risk seldom exists in isolation: chain
    of consequences must be examined, as the outcome of one risk can increase the
    likelihood of other risks. Systemic theory must complement classic PRM. Indeed
    these chains are composed of many different elements, all of which may have a
    critical importance at many different levels.

  2. A multiagent urban traffic simulation Part I: dealing with the ordinary.

    Authors: Pierrick Tranouez, Patrice Langlois, Eric Daudé
    Subjects: Artificial Intelligence
    Abstract

    We describe in this article a multiagent urban traffic simulation, as we
    believe individual-based modeling is necessary to encompass the complex
    influence the actions of an individual vehicle can have on the overall flow of
    vehicles. We first describe how we build a graph description of the network
    from purely geometric data, ESRI shapefiles. We then explain how we include
    traffic related data to this graph.

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