Handling Connectivity, Storage, and Computing Power to control mobility throughout Europe

(Volterra, December 16th, 2009)

Abstract

Many Intelligent Transportation Systems are running today varying in technologies applied, from basic management systems such as car navigation to more advanced applications that integrate live data and feedback from a number of other information systems.

ITS applications are generally targeted to combine distributed readings gathered through a (wired) network covering large areas.

ITSs are generally focusing onto fresh data. The input records (raw information) coming from actual installations strongly depend on the selected technology; sensors can deliver either scalar records (e.g. the signal induced by ferrous objects to a magnetometer), or vector-like records (e.g. the bitmap of a frame captured by a photocamera).

The raw information can be lightweight or heavy, depending on record type, resolution, and redundancy level. On-Line Analytical Processing techniques generally discard raw information, handling aggregated data eventually serialized to dedicated data servers for statistical activities on historical series.

Within the workshop the actual trends in the engineering of ITS will be discussed focusing on wireless techniques for information processing, sharing, and presenting.

Another approach (we would call "off-line") is that of analyzing mobility looking at historical series and keeping as many as possible information about "raw events" to avoid lossy or inaccurate data mining.

Within the workshop the issues of handling, serializing, addressing, and processing large data volumes; more specifically the opportunity to use the grid infrastructure and distributed calculus for accessing data gathered by ITS will be discussed.

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