Publikasjoner og ansvarsområder
Coupling time-indexed and big-M formulations for real-time train scheduling during metro service disruptions
Combinatorial Learning in Traffic Management
Can Holistic Optimization Improve Airport Air Traffic Management Performance?
Air transportation is an important factor in the economic growth of the European Union; however, the current system is already approaching its capacity and cost limits, and therefore needs to be reformed to meet the demands of further sustainable development. According to the European Commission, ai...
MILP approaches to practical real-time train scheduling: the Iron Ore Line case
Matematikk kan forbedre jernbanen
Generalized Periodic Vehicle Routing and Maritime Surveillance
A non-compact formulation for job-shop scheduling problems in traffic management
Train rescheduling problems have received significant attention in the operations research community during the past 20–30 years. These are complex problems with many aspects and constraints to consider. This chapter defines the problem and summarizes the variety of model types and solution approach...
Hotspot Resolution with Sliding Window Capacity Constraints using the Path&Cycle Algorithm
We extend the new, efficient Path&Cycle formulation for the Hotspot Problem with two methods for dealing with windowed capacity constraints. We also discuss how to combine constraints to allow two-level capacity restricions for peak and average load respectively. Finally, we present computationa...