Evaluation of Data Reduction Techniques for Vehicle to Infrastructure Communication Saving Purposes

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 vehicle's 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.