Constrained optimization problems arise frequently in classical machine learning. There
exist frameworks addressing constrained optimization, for instance, CVXPY and GENO …

We present analysis techniques for large trajectory data sets that aim to provide a semantic
understanding of trajectories reaching beyond them being point sequences in time and …

We consider the problem of computing a set of alternative routes in a multicriteria setting
where several network metrics are available. Previous approaches for alternative route …

We study how to compute routes that avoid traffic in road networks. Imperfections in real-time
traffic feeds may yield routes with undesirable detours through parking lots or residential …

In a road network with multicriteria edge costs we consider the problem of computing a
minimum number of driving preferences such that a given set of paths/trajectories is optimal …

Alternative route computations so far have mostly been considered as producing a small set
of reasonable routes for a human driver to select from. In the not too distant future most cars …

The optimal path between two vertices in a graph depends on the optimization objective,
which is often defined as a weighted sum of multiple criteria. When integrating two criteria …

Hierarchical search such as Contraction Hierarchies is a popular and successful branch of
optimization techniques for shortest path computation. Existing hierarchical techniques have …

We consider route planning queries in road or path networks which involve a user
preference expressed in relation to a spatial region, as eg 'from Nanjing to Shanghai along …

Navigation system are common for basically every mode of transportation. No matter if you
plan a trip by foot, bicycle, car or public transportation, systems which are specialized for …