THE DESIGN OF A SYSTEM FOR REAL-TIME ADAPTIVE FORECAST AND ON-LINE BREAKDOWN DETECTION OF URBAN TRAFFIC FLOW

A system for the real-time adaptive forecast and on-line breakdown detection of urban traffic flow is designed using high-order generalized neural network techniques and genetic algorithms. In the system, it is unnecessary to exchange quantities of data; the on-line adjustment of related parameters can be carried out according to the change of the characteristics of traffic networks, thereby realizing the adaptive tracing of traffic states. This paper deals with the following aspects of the system: (1) the structure; (2) the data-gathering subsystem; (3) the breakdown-detecting subsystem; (4) the data-processing subsystem, and (5) the traffic flow forecasting subsystem.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/10017372
• Corporate Authors:

  XI'AN HIGHWAY UNIVERSITY

  SOUTHERN MIDDLE SECTION OF THE SECOND CIRCULAR ROAD
  XI'AN, SHAN XI  China  710064
• Authors:
  • ZHAOSHENG, YANG
  • GUIYAN, JIANG
• Publication Date: 1998-8

Language

• Chinese

Media Info

• Features: References;
• Pagination: p. 97-101
• Serial:
  • CHINA JOURNAL OF HIGHWAY AND TRANSPORT
  • Volume: 11
  • Issue Number: (SUPPL)
  • Publisher: XI'AN HIGHWAY UNIVERSITY
  • ISSN: 1001-7372

Subject/Index Terms

• TRT Terms: Crashes; Data collection; Forecasting; Incident detection; Information processing; Real time control; Real time data processing; Traffic flow; Urban areas
• ITRD Terms: 1643: Accident; 8623: Data acquisition; 8655: Data processing; 132: Forecast; 1632: Incident detection; 8679: Real time; 671: Traffic flow; 313: Urban area
• Subject Areas: Safety and Human Factors;

Filing Info

• Accession Number: 00758256
• Record Type: Publication
• Source Agency: Transport Research Centre (CDV)
• Files: ITRD
• Created Date: Jan 25 1999 12:00AM