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Risultati sfruttabili
In order to meet the objectives, ETIS-Agent was structured as a 'data warehousing' project in the Transport area. The ETIS-Agent system consists of three components. These are the Data Integration, the Data Storage and the Front-End Environment.
Data Integration refers to those processes through which transactional or operational data (e.g. road tolls) residing in dispersed, heterogeneous data sources is integrated to produce policy-related indicators. These processes refer to collection, validation, harmonisation, aggregation, consolidation, transformation, and/ or application of models on this remote data. Moreover, Data Integration includes the loading of the policy-related indicators into the Data Storage as XML documents.
The Data Storage is a repository used to store the variables and the policy related indicators produced from Data Integration. The Data Storage is materialised as a data warehouse. The indicators are stored in the data warehouse as multidimensional structures (data cubes). A multidimensional structure allows the policy maker to view an indicator from a number of policy related perspectives. Conceptually, the indicator is stored as a set of features that can be viewed along one or more dimensions. For example the performance indicator '% of freight traffic' is a data cube that may be viewed along the following modes or dimensions: road, air, time. The possible viewing dimensions obviously depend on the availability of corresponding underlying data. Data Storage includes a repository containing metadata regarding policy domains, policy questions, performance and supporting indicators and information on the associated computation methods.
The Front-End Environment provides a distinct interface to access, compute and visualise policy related indicators and their metadata. Through this environment, the policy maker will be able to:
- perform policy to indicators metadata browsing and editing,
- accesses indicators and apply On Line Analytical Processing operations on them,
- visualise the retrieved indicators through the following ways,
- tabular View that will present query results into tabular format,
- graphical View that will present retrieved data in graphical form (i.e. bar charts),
- GIS View that will enable the display of geo-related query results on maps.
An important note to make here is that the Front-End Environment provides a distinct interface to access and utilize information residing in any (external) database that can provide connectivity and the necessary quality and detail in their metadata definitions.
ETIS-Agent, (in coordination with ETIS-BASE and ETIS-LINK projects), has defined a pilot, which was used throughout the system development, from requirements analysis to system validation. This was based on data used in the TEN-STAC project and on data provided by ETIS-BASE project. The following five case studies were included in the pilot:
- Annual traffic flows 2000 on TEN Corridor 4
Berlin/Nurnberg Prague Budapest Constanta/Thessaloniki/Istanbul
In this example indicators will be retrieved and calculated on the TENs in EU countries and in accession countries.
- Annual traffic flows 2000 on TEN Corridor 5
Venezia Trieste Ljubljana Budapest Lviv (main line)
In this example indicators will be retrieved and calculated on the TENs in EU countries and in accession countries.
- Annual traffic flows 2000 on TEN Corridor
Rotterdam Verona (priority axis)
This corridor is of interest since it is one of the corridors in Europe where rail transport is competitive and substantial volumes are transported by rail.
- Annual traffic flows 2020 on Corridor C01
Berlin Verona/Milano Bologna Napoli Messina
This corridor is of interest since new infrastructure has been planned; the Brenner rail tunnel (to be completed in 2015).
- Minimise constraints in trip making and increase service availability to population:
Accessibility of the EU markets through the different networks, Accessibility of the markets in Eastern Europe, Accessibility of peripheral regions. This information will be computed using an 'Accessibility performance indicator'.
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