Vehicle routing is an important service that is used by both private individuals and
commercial enterprises. Drivers may have different contexts that are characterized by …

The traditional Capacitated Vehicle Routing Problem (CVRP) minimizes the total distance of
the routes under the capacity constraints of the vehicles. But more often, the objective …

This paper presents a collaborative route discovery method that leverages the experience
and preferences of taxi drivers in urban areas. The proposed method is mainly comprised of …

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

In a personalized route planning query, a user can specify how relevant different criteria as
travel time, gas consumption, scenicness, etc. are for his individual definition of an optimal …

We consider the problem of matching trajectories to a road map, giving particular
consideration to trajectories that do not exclusively follow the underlying network. Such …

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 …

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 …

We investigate a learning decision support system for vehicle routing, where the routing
engine learns implicit preferences that human planners have when manually creating route …

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 …