Emergency logistics using graph theory and abstraction hierarchy

An emergency logistics was modeled and optimized using abstraction hierarchy and graph theory. A case study for the emergency evacuation in a local underground multi-storey train station demonstrated the application of the method. The objectives of crowd control in an emergency evacuation were mapped using the abstraction hierarchy which modeled the means-ends relationship between the system and its components. The means to achieving the goals were represented in the form of a graph which was solved using graph theory algorithms. One solution space that satisfied the selected goal was obtained.