Coordinatore | TECHNISCHE UNIVERSITEIT DELFT
Organization address
address: Stevinweg 1 contact info |
Nazionalità Coordinatore | Netherlands [NL] |
Totale costo | 100˙000 € |
EC contributo | 100˙000 € |
Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
Code Call | FP7-PEOPLE-2009-RG |
Funding Scheme | MC-IRG |
Anno di inizio | 2010 |
Periodo (anno-mese-giorno) | 2010-01-01 - 2013-12-31 |
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1 |
TECHNISCHE UNIVERSITEIT DELFT
Organization address
address: Stevinweg 1 contact info |
NL (DELFT) | coordinator | 100˙000.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'Transportation networks are ubiquitous nowadays: people move over transit links (airspace, highway systems, networks of subways and railways), trade goods through industrial networks (logistics and production networks, manufacturing systems) and assets through financial networks (market and banking systems), support their lifestyle via distribution networks (power, energy, food and water distribution systems), and communicate and exchange knowledge through information networks (based on telephone lines, satellite stations, optical grids, cable and wireless internet, postal networks and the media). A reliable, resilient, secure, efficient, and effective operation of these networks is of paramount importance both when the systems are operated to the limits of their performance during critical situations, as well as under regular operating conditions. The quest for a quantitative understanding of these networks and their properties necessitates the development of descriptive formal models to represent, analyze, and control them. Discrete Event Systems (DES) and Stochastic Hybrid Systems (SHS) are general mathematical models that, while rather different in nature, by virtue of their structural properties and dynamical features are both particularly suitable at modelling transportation networks. This project has two original objectives. The first major goal is theoretical, and is aimed at the introduction of a formal mathematical framework that is capable of connecting between the theory of DES and that of SHS. The second objective deals with the applications of this novel formal model in the description, analysis, and control of classes of transportation networks (road traffic networks and railway systems). This innovative project is expected to yield theoretical results that will be foundational for further investigations, and to originate compelling and relevant practical outcomes of considerable industrial, economic, societal, and environmental impact.'
An EU team modelled transportation networks to improve operations in all conditions. The study combined two kinds of models, which together lead to more effective control.
Transportation networks have never been more vital to society nor so interconnected, and both conditions will probably increase in the future. Hence, it is important to keep the networks operating effectively during both routine and extreme situations.
Doing so requires quantitative modelling of the networks and their properties. Providing such modelling was the goal of the EU-funded project 'A novel mathematical framework for the modelling and the analysis of transportation networks' (MANTRAS). The single-member project was administered under the Seventh Framework Programme's (FP7) Marie Curie Action programme, and operated from the start of 2010 to the end of 2013.
The aim was to develop and connect two different but compatible kinds of descriptive formal models to represent, analyse and control the networks. The model types were Discrete Event Systems and Stochastic Hybrid Systems. Additionally, the research team planned to apply the models to the analysis and control of certain kinds of transportation networks.
Project work included plans to produce theoretical results that establish further investigations. The studies were expected to have significant industrial, social and environmental impact.