Fundamental limits on the compression of vehicle positioning data.

Author(s)
Drane, C.R. & Scott, C.A.
Year
Abstract

Positioning Systems that measure the location of vehicles are a key enabling technology for Intelligent Transport Systems. An important issue will be the compression of position data. This paper presents the definition of the fundamental limits on the compression of position data, for both stochastic and chaotic sources. It then displays some numerical examples to show how these limits can be calculated and compares these with an existing compression scheme. Finally it is shown this work has wider implications for Intelligent Transport Systems, including traffic control algorithms. (A)

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Publication

Library number
C 10229 (In: C 9906 e [electronic version only]) /70 /73 / IRRD 868939
Source

In: "Towards an intelligent transport system" : proceedings of the first world congress on applications of transport telematics and Intelligent Vehicle-Highway Systems IVHS, Palais de Congrès de Paris, France, 30 November - 3 December 1994, Volume 5, p. 2596-2603, 16 ref.

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