Railroad Driving Model Based on Distributed Constraint Optimization

Distributed Constraint Optimization Problems (DCOP) has emerged as one of the most important multiagent coordination techniques, due to its ability to optimize the global function modeled as a set of constraints. This paper presents a study that proposes to use of distributed constraint optimization techniques to achieve energetic efficiency on railroad driving. The objectives are to present a real world problem with dynamic behavior as a DCOP, compare the main algorithms for this formalism and evaluate the quality of the solutions obtained.