PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Data mining, data fusion, and information management
John Shawe-Taylor, Tijl De Bie and Nello Cristianini
IEE Proceedings - Intelligent Transport Systems Volume 153, Number 3, pp. 221-229, 2006. ISSN 1748-0248

Abstract

The potential impact of advances in data mining, data fusion and information management on the efficient exploitation of the transport infrastructure are addressed. It is argued that the energy currently consumed in transport is poorly exploited for a number of reasons that the application of intelligent infrastructure analysis can significantly address: traffic congestion implies reduced fuel efficiency; the average number of people travelling per car is very low; and public/private transport combination options are difficult to plan. Relevant advances in intelligent information systems are reviewed, and a number of scenarios illustrating how these weaknesses might be addressed are presented. For each, the feasibility of the required technology and the timescales for deployment are discussed.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Information Retrieval & Textual Information Access
ID Code:3826
Deposited By:Tijl De Bie
Deposited On:24 March 2009