Project
ADAMANT - Airport Decision And MANagement NeTwork
Funding origin:
European
STRIA Roadmaps:
Connected and automated transport (CAT)
Transport electrification (ELT)
Network and traffic management systems (NTM)
Transport mode:
Airborne
Transport sectors:
Passenger transport
Freight transport
Duration:
Start date: 01/07/2002,
End date: 01/06/2005
Status: Finished
Funding details:
Overview
Background & policy context:
Under current wireless systems, cells experiencing excessive demand lower power to reduce the area covered, while neighbouring cells respond by increasing their power in the direction of the busy cell. The reduced coverage results in users outside the reduced area receiving no service. With the new system, autonomous software agents - programmed to cooperate without human assistance in unpredictable situations - negotiate with neighbouring cells and ask antennas with spare capacity to change the shape of their coverage to restore full coverage.
Objectives:
- To provide an intelligent, personalised, location-based information and decision support system for travellers and airport services. This offers a scalable anticipatory environment that can take autonomous action to ensure that the travellers' journey is completed in line with their intentions and wishes, under normal conditions, and with the least possible impact, in case of emergency conditions. It also maximises the business opportunities for the airport;
- to provide management of the communication resources serving the particular location or route, under normal and emergency conditions;
- to create roaming/location-sensitive SLA management framework that adapts customer SLAs to factors such as location inside an airport and to comply with policies set by the service provider e.g. to manage crisis situations.
Methodology:
- Intelligent agent architecture for decision support system (DSS)
- Business models for agent interaction to maximise benefit to actors
- Decision support system that can be trailed in an airport environment
- Distributed resource management system to underpin the DSS.
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