Methodologies for transportation planning in urban area when exogenous events occur and/or in emergency conditions have not received great attention in the past in literature. Models and algorithms specified and calibrated in ordinary conditions cannot be directly applied in emergency conditions. Users move on the network in different behavioural conditions and in general they are in panic behaviour, they do not know system congestion and reliability in real time because system is in exceptional condition, and the user optimum, in general, is different from the system optimum. Different models and algorithms have to be proposed in this scenario respect that proposed for simulating ordinary conditions. In this paper general model and relative solution algorithms are proposed for simulating road urban network system in emergency conditions. Models and algorithms used for simulating system in ordinary conditions are proposed and compared. Pros and cons for the different models in different simulation conditions are discussed.
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