Load Shedding for Aggregation Queries over Data Streams
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Randomization in traffic information sharing systems
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Dynamic Approaches to In-network Aggregation
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Vehicle speed and volume measurement using V2I communication
AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications
A clustering-based multi-channel vehicle-to-vehicle (V2V) communication system
ICUFN'09 Proceedings of the first international conference on Ubiquitous and future networks
MOIR/MT: monitoring large-scale road network traffic in real-time
Proceedings of the VLDB Endowment
Communication Reduction for Floating Car Data-Based Traffic Information Systems
GEOPROCESSING '10 Proceedings of the 2010 Second International Conference on Advanced Geographic Information Systems, Applications, and Services
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In this paper we investigate the employment of different data reduction techniques to minimize V2I communication in an Intelligent Transportation System (ITS). We consider the context of the PEGASUS Project, where vehicles are equipped with sensor-based devices able to compute and communicate to a Control Centre (CC) information like vehicleăĂŹs position and speed. The CC relies on a general-purpose data management module that supports the execution of continuous queries as well as standard SQL one-time queries on the collected data to provide various infomobility services. The paper explores two categories of data reduction techniques: independent techniques, where vehicles autonomously send data to the CC, and information-need techniques, where data is sent by taking into account additional data received from the CC. The paper discusses and implements the technical changes needed in the CC to support the required infomobility services under the reduced availability of data. All the investigated techniques have been extensively evaluated in a variety of traffic scenarios.