This talk addresses the earliest arrival flow problem, defined on
dynamic networks with several sources and a single sink. A dynamic network
is a directed graph with capacities and transit times on its edges. Given
an integral supply specified at each source of a dynamic network, the
problem is to send exactly the right amount of flow out of each source and
into the sink, such that the amount of flow arriving at the sink by time
$\theta$ is the maximum possible for all $\theta \geq 0$.
We present the first exact algorithm that solves a class of the
earliest arrival flow problems in dynamic networks with multiple sources.
The class is characterized by the property that the total supply at the
sources is equal to the value of the maximum dynamic flow in time bound
$T$, where $T$ is the minimum time needed to evacuate all supplies.