Temporal Aggregation over Data Streams Using Multiple Granularities
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Spatio-Temporal Aggregation Using Sketches
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
TrafficView: traffic data dissemination using car-to-car communication
ACM SIGMOBILE Mobile Computing and Communications Review
Querying a summary of database
Journal of Intelligent Information Systems
Decentralized discovery of free parking places
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
Probabilistic validation of aggregated data in vehicular ad-hoc networks
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
Probabilistic aggregation for data dissemination in VANETs
Proceedings of the fourth ACM international workshop on Vehicular ad hoc networks
Estimating the Relevance of Information in Inter-Vehicle Ad Hoc Networks
MDMW '08 Proceedings of the 2008 Ninth International Conference on Mobile Data Management Workshops
A survey of geocast routing protocols
IEEE Communications Surveys & Tutorials
Data-aggregation techniques in sensor networks: a survey
IEEE Communications Surveys & Tutorials
Information dissemination in self-organizing intervehicle networks
IEEE Transactions on Intelligent Transportation Systems
Event sharing in vehicular networks using geographic vectors and maps
Mobile Information Systems
A cooperative scheme to aggregate spatio-temporal events in VANETs
Proceedings of the 16th International Database Engineering & Applications Sysmposium
Review: Information management in vehicular ad hoc networks: A review
Journal of Network and Computer Applications
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VESPA (Vehicular Event Sharing with a mobile P2P Architecture) is a system designed for vehicles to share information in vehicular ad-hoc networks (VANETs). The originality of VESPA is to support any type of event (e.g., available parking spaces, accidents, emergency braking, information relative to the coordination of vehicles in emergency situations, etc.). The basic functions of VESPA are both disseminating the events to the potentially interested vehicles and evaluating their relevance once received (for instance to determine whether the driver should be warned or not). In this paper, we concentrate on knowledge extraction in VESPA. In particular, we focus on how to exploit data exchanged between vehicles to produce knowledge to be used later on by drivers. Existing systems only use the data exchanged to produce a warning for the drivers when it is needed. Then, the data is considered obsolete and is deleted. On the contrary, we propose here to aggregate the data once it becomes obsolete. Our objective is to produce additional knowledge to be used by drivers when no relevant data has been communicated by neighbouring vehicles. For example, it becomes so possible to dynamically detect potentially dangerous road segments or to determine the areas where the probability to find an available parking space is high.