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Algorithms for Robust and on-line Railway optimisation: Improving the validity and reliability of large-scale systems

Objective

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 optimisation issues in large-scale communication and transportation networks. The complexity and size of such optimisation 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 optimisation questions in perhaps the most complex and largest in scale (transportation) setting: that of railway systems. Railway optimisation 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 optimisation 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.

Our main goal is to develop the necessary foundational algorithmic research in order to provide ingenious and sound answers to the fundamental efficiency and quality issues encapsulated in robust and online planning of complex, large-scale systems as those in railways. We will endeavour to develop a thorough understanding of the fundamental issues that make robust and online railway optimisation problems hard and to subsequently develop new algorithmic and complexity principles to deal with hardness through an integrated, interdisciplinary approach drawn from algorithmic, operations research, and constraint programming techniques.

Coordinator

RESEARCH ACADEMIC COMPUTER TECHNOLOGY INSTITUTE
Address
N. Kazantzaki, Campus Of Rio Patras
26500 Rio Patras
Greece

Participants (12)

ALMA MATER STUDIORUM-UNIVERSITA DI BOLOGNA
Italy
Address
Via Zamboni 33
Bologna
EIDGENÖSSISCHE TECHNISCHE HOCHSCHULE ZÜRICH
Switzerland
Address
Raemistrasse 101
Zuerich
ERASMUS UNIVERSITEIT ROTTERDAM*
Netherlands
Address
Burgemeester Oudlaan 50
3062 PA Rotterdam
GEORG-AUGUST-UNIVERSITAET GOETTINGEN STIFTUNG OEFFENTLICHEN RECHTS
Germany
Address
Gosslerstrasse 5-7
37073 Goettingen
SOCIETE NATIONALE DES CHEMINS DE FER FRANCAIS SNCF
France
Address
Rue Du Commandant Rene Mouchotte 34
75014 Paris
TECHNISCHE UNIVERSITAET BERLIN
Germany
Address
Strasse Des 17. Juni 135
Berlin
TECHNISCHE UNIVERSITEIT EINDHOVEN
Netherlands
Address
Den Dolech 2
5612 AZ Eindhoven
UNIVERSIDAD DE SEVILLA
Spain
UNIVERSIDAD POLITECNICA DE VALENCIA
UNIVERSITA DEGLI STUDI DI L'AQUILA
Italy
Address
Piazza Vincenzo Rivera 1
67100 L'aquila
UNIVERSITA DEGLI STUDI DI PADOVA
Italy
Address
Via Viii Febbraio 2
35122 Padova (Pd)
UNIVERSITAET KARLSRUHE (TH)
Germany
Address
Kaiserstrasse 12
76131 Karlsruhe