USING ARTIFICIAL INTELLIGENCE TO REDUCE HIGH FUEL CONSUMPTION IN CONGESTED CITIES

Congestion in cities causes fuel consumption to rise sharply, partly because of the longer time taken to reach a destination and partly because the rate of consumption is much higher at low speeds. Existing traffic control systems do not cope well with heavily congested situations. Essentially they were designed to respond to changes in moving traffic not to the build-up of stopped traffic. They also assume that the supply of road space remains fixed whereas congestion brings about a reduction in supply. This paper reports on a project which is evaluating the effectiveness of an artificial intelligence-based supervisor for urban traffic control systems which aims to reduce congestion and hence fuel consumption. For the covering abstract see IRRD 880251.

Language

  • English

Media Info

  • Features: References;
  • Pagination: p. 202-6

Subject/Index Terms

Filing Info

  • Accession Number: 00725379
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD
  • Created Date: Sep 26 1996 12:00AM