Objective
The project will prototype a database containing information on a road network linked to a digital map. The prototype will cover parts of two major British cities and their connecting roads, using data obtained from large scale maps and other sources. Such a map, with the additional information it contains, would be used for vehicle navigation, vehicle location and other traffic / transportation purposes.
Project PANDORA has prototyped the methodology and systems for extracting and integrating digital road network data with traffic related attribute data. Test data for the London to Birmingham travel corridor in the United Kingdom has been used in field trials of vehicle navigation systems and supplied to the European benchmark test. The project has resulted in recommendations for improvements both to the Geometric Data File (GDF) standard for digital road networks and to legal measures for the protection of data providers.
Key issues involved were the application of existing GDF draft standards and recommendations for improvement, development of extraction/data capture and integration methodologies, development of a comprehensive and reusable data model using structured design methods, geographical referencing of digital road networks and their numbering, creation of a test data set, field trials of test data using new navigation products, recommendations for legal protection of data providers and pointers to requirements for commercial services.
A prototype was made available on 01/09/92
The objective of the research was to create and test a prototype road navigation database. Digital street networks were extracted mainly from the Ordnance Survey's large scale digital mapping and the necessary road and traffic attributes were collected independently. These data were integrated into a specially designed prototype database for parts of London and Birmingham and the major interconnecting roads. This dataset was then tested in field trials using prototype vehicle navigation systems.
The research led to the following conclusions:
production of integrated large scale digital road network data is a complex and time consuming process and it is easy to underestimate the amount of work involved;
the data used has been extensively validated and shown to be of good quality and accuracy;
laboratory testing and field trials have demonstrated the successful use both of navigation systems and of the data;
the technical processes, framework and data model for the supply, integration and testing of digital road network data which have been developed appear to form a sound basis for the creation of a much larger panEuropean digital road network database.
The project will develop the required data structures and demonstrate a methodology for extracting road network data from a digital map database. The work will include:
a) integrating map and traffic related attribute data (taking full account of the GDF standard defined by DEMETER);
b) demonstration of the use of such integrated map and traffic data in field trials using prototype autonomous and infrastructure-based navigation systems.
c) provision of the UK element (Task 12) of the Benchmark Test.
The project will apply, develop and publish standards for digital road network maps and will determine what legal measures will be required to protect the interests of data providers.
PANDORA will liaise closely with other projects working on digital maps and road network databases.
Main Deliverables:
Reports on the methodology for extracting road network data from a digital map database, system development and testing, field trials, upgrade of the GDF standard.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences databases
- social sciences social geography transport navigation systems
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Coordinator
United Kingdom
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