Corpus ID: 10912158

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

@article{Daud2009AMU,
  title={A multiagent urban traffic simulation. Part II: dealing with the extraordinary},
  author={{\'E}. Daud{\'e} and Pierrick Tranouez and P. Langlois},
  journal={ArXiv},
  year={2009},
  volume={abs/0910.1026}
}
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… Expand
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References

SHOWING 1-7 OF 7 REFERENCES
Spatial risks and complex systems : methodological perspectives
  • 13
  • PDF
A multiagent urban traffic simulation Part I: dealing with the ordinary
  • 4
  • PDF
Simulation of pedestrian crowds in normal and evacuation situations
  • 793
  • PDF
Simulating dynamical features of escape panic
  • 3,655
  • PDF
Controlling Pandemic Flu: The Value of International Air Travel Restrictions
  • 248
  • PDF
A note on two problems in connexion with graphs
  • E. Dijkstra
  • Mathematics, Computer Science
  • Numerische Mathematik
  • 1959
  • 19,812
  • PDF
Intentions, Plans, and Practical Reason
  • Intentions, Plans, and Practical Reason
  • 1987