Algorithms for Robust and online Railway optimization: Improving the Validity and reliability of Large scale systems
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ARRIVAL is a Specific Targeted Research Project funded by the FET (Future
and Emerging Technologies) Unit of the European Commission (EC), priority
IST (Information Society Technologies), within the 6th Framework Programme
of EC, under contract No. FP6-021235-2.
Algorithmic methods have reached a state of maturity as a consequence of
decades of research where real-world problems were posed to the algorithms
community triggering important developments in the field. Despite this success,
the current state of algorithmic research still faces severe difficulties, or cannot
cope at all, with highly-complex and data-intensive applications as those dealing
with optimization issues in large-scale communication and transportation
networks. The complexity and size of such optimization problems pose new challenges
for algorithmic research, and their efficient solution requires a radically
new foundational paradigm.
In this project, we are interested in establishing such a new paradigm and
considerably advance the current state of algorithmic research by attacking
optimization questions in perhaps the most complex and largest in scale (transportation)
setting: that of railway systems. Railway optimization deals with
planning and scheduling problems over several time horizons. We focus on two
important and actually unexplored facets of planning that pose even harder
optimization questions: robust planning and online (real-time) planning. These
two, tightly coupled, facets constitute a proactive and a reactive approach, respectively,
to deal with disruptions to the normal operation.