Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Experiences of developing and deploying a context-aware tourist guide: the GUIDE project
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Location Models from the Perspective of Context-Aware Applications and Mobile Ad Hoc Networks
Personal and Ubiquitous Computing
A Middleware Infrastructure for Active Spaces
IEEE Pervasive Computing
Architectural Support for Global Smart Spaces
MDM '03 Proceedings of the 4th International Conference on Mobile Data Management
Spatial Programming Using Smart Messages: Design and Implementation
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
From Home to World - Supporting Context-aware Applications through World Models
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Designing TramMateña context-aware mobile system supporting use of public transportation
Proceedings of the 2003 conference on Designing for user experiences
Benefits of Integrating Meta Data into a Context Model
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Emergent consensus in decentralised systems using collaborative reinforcement learning
Self-star Properties in Complex Information Systems
Bridging context management systems for different types of pervasive computing environments
Proceedings of the 1st international conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications
Supporting smart space infrastructures: a dynamic context-model composition framework
Proceedings of the 3rd international conference on Mobile multimedia communications
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Global smart spaces are intended to provide their inhabitants with context-aware access to pervasive services and information relevant to large geographical areas. Transportation is one obvious domain for such global smart spaces since applications can be built to exploit the variety of sensor-rich systems that have been deployed to support urban traffic control and highway management as well as within individual vehicles. This paper presents a spatial programming model designed to provide a standardised way to build context-aware global smart space applications using information that is distributed across independent (legacy, sensor-enabled, and embedded) systems by exploiting the overlapping spatial and temporal attributes of the information maintained by these systems. The spatial programming model is based on a topographical approach to modelling space that enables systems to independently define and use potentially overlapping spatial context in a consistent manner and in contrast to topological approaches, in which geographical relationships between objects are described explicitly. Moreover, this approach facilitates the incremental construction of global smart spaces since the underlying systems to be incorporated are largely decoupled. The programming model has been evaluated by building a context-aware service for multi-modal urban journey planning, as part of the development of an overall architecture for intelligent transportation systems in Dublin.