Dear all,
--------------------
In train routing, the headway is the minimum distance that must be maintained between successive trains for safety and robustness. We introduce a model for train routing that requires a fixed headway to be maintained between trains, and study the problem of minimizing the makespan, i.e., the arrival time of the last train, in a single-source single-sink network. For this problem, we first show that there exists an optimal solution where trains move in convoys---that is, the optimal paths for any two trains are either the same or are arc-disjoint.
Via this insight, we are able to reduce the approximability of our train routing problem to that of the min-max disjoint paths problem, which asks for a collection of disjoint paths where the maximum length of any path in the collection is as small as possible.
While min-max disjoint paths inherits a strong inapproximability result on directed acyclic graphs from the multi-level bottleneck assignment problem, we show that a natural greedy composition approach yields a logarithmic approximation in the number of disjoint paths for series-parallel graphs.
We also present an alternative analysis of this approach that yields a guarantee depending on how often the decomposition tree of the series-parallel graph alternates between series and parallel compositions on any root-leaf path.
(Joint work with Umang Bhaskar, Katharina Eickhoff, Lennart Kauther, Jannik Matuschke, and Laura Vargas Koch)
22.05.2025 - Britta Peis - On Train Routing and Length-bounded Disjoint Paths
26.06.2025 - Michael Schaub - Oversmoothing in Graph Neural Networks
03.07.2025 - Sebastian Trimpe - Uncertainty in Learning and Control
10.07.2025 - Christopher Morris - Exploring the Power of Graph Neural Networks in Solving Optimization Problems
17.07.2025 - Christina Büsing - Dealing with Uncertainty Inspired by Health Care – a Robust Optimization Approach