MANAGING REAL-TIME DATA FOR INTELLIGENT TRANSPORT SYSTEMS: A DISTRIBUTED APPROACH

Research into intelligent transport systems (ITS) in Europe, Japan and the USA has demonstrated that the technology exists to provide most of the information, monitoring and control systems currently envisaged in this area. In practice, however, these demonstration projects tend to suffer from problems which arise from the need to combine data of different types from disparate sources which are also often spatially separated. Although techniques exist for the transmission of, for example, traffic information to drivers, there is still a real blockage in the system between the collection processes and the information dissemination systems. Often this requires an extensive input from highly trained (and therefore expensive) staff. This is due to the lack of systematic means of automating this input-output process. This paper describes an approach which aims to resolve this problem through the combination of a real-time database management system and open systems architecture. The system described uses a distributed, replicated real-time database (DIOMEDES) to integrate and manage real-time disparate data sources and an implementation of open systems architecture called ANSA. (a) For the covering entry of this conference, see IRRD abstract 868345.

Language

  • English

Media Info

  • Features: References;
  • Pagination: p. 77-89

Subject/Index Terms

Filing Info

  • Accession Number: 00722226
  • Record Type: Publication
  • Source Agency: ARRB
  • ISBN: 0-86910-663-5
  • Files: ITRD, ATRI
  • Created Date: Jun 28 1996 12:00AM