The railway crew scheduling problem consists of finding the most efficient duty combination
for railway crews to cover all trains and related activities for a defined period of time. Crew …

We consider the embedding of piecewise-linear deep neural networks (ReLU networks) as
surrogate models in mixed-integer linear programming (MILP) problems. A MILP formulation …

In this study, we investigate the integrated optimization of container transfer station selection
and train timetables for a road–rail intermodal transport network based on the transport …

Subway system is the main mode of transportation for city dwellers and is a quite significant
backbone to a city's operations. One of the challenges of subway network operation is the …

The crew scheduling problem with attendance rates is highly relevant for regional
passenger rail transport in Germany. Its major characteristic is that only a certain percentage …

In crew scheduling, optimization models can become complex when a large number of
penalty terms is included in the objective function to take planners' preferences into account …

Human resources related problems are of vital importance for all the companies. Within the
transportation world, they usually represent a very important part of the overall expenses …

Train crew management is an imperative task in a passenger railway system and is typically
decomposed into two sub-problems: crew scheduling problem and crew rostering problem …

A metro crew plan consists of a crew scheduling plan and crew rostering plan. Based on the
shift mode of working in three shifts with four groups in the fixed-shift system of Chinese …

Arising from a practical problem in European rail freight transport we present a heuristic
solution approach that is based on a new generalized mixed integer problem formulation for …