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A well-known traffic simulation model bases on the idea to represent street sections by so-called cells where vehicles are streaming from one cell to another in order to give a realistic image of traffic flows. Its basic ideas were picked up recently to formulate an optimization model for evacuationplanning purposes. We will address three major weaknesses of the recent model, namely the usage of afixed single cell size, missing consideration of lanes as well as missing limitations for traffic flows andshow how to overcome them. Stimulated by this, we formulate the extended Cell-Transmission-Based Evacuation Planning Model and a new optimization model to facilitate this model in terms of choosing the optimum cell size. Additionally, we will present an iterative simulation-based optimization approach in order to evaluate and to enhance results in a more realistic environment. This approach takes advantage of a standalone vehicle reallocation optimization model, additional traffic flow limitations as well as a state-of-the-art microscopic traffic simulation. We will demonstrate the effectiveness of this approach in a real-world example

Extended cell-transmission-based evacuation planning in urban areas