Updating Demand Vectors using Traffic Counts on Congested Networks: A Real Case Application

This paper describes how all the elements of a transportation system model generally suffer from some type of approximation. Normally the demand vector is considered the most crucial and problematic element to be simulated, and traffic counts are thus generally used to update this so that the whole model system is able to reproduce the observed link flows. Updating demand vectors using traffic counts has received considerable attention in recent years. In this paper the methodology for updating the demand vector using traffic counts on congested networks is applied to a real case: the origin-destination (OD) demand vectors for the city of Naples (Italy). The results show the good capacity of this methodology to reproduce the traffic counts measured. Furthermore, through the estimated OD vectors it was possible to make a structural analysis of transportation demand in Naples.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9781845640873
• Corporate Authors:

  WIT Press

  Ashurst Lodge
  Ashurst, Southampton  United Kingdom  SO40 7AA
• Authors:
  • Carteni, A
• Conference:
  • Urban Transport XIII. Urban Transport and the Environment in the 21st Century
  • Location: Coimbra , Portugal
  • Date: 2007-9-3 to 2007-9-5
• Publication Date: 2007

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 211-221
• Monograph Title: Urban Transport XIII. Urban Transport and the Environment in the 21st Century

Subject/Index Terms

• TRT Terms: Demand; Methodology; Origin and destination; Simulation; Traffic congestion; Traffic counts; Traffic simulation; Travel demand management
• Uncontrolled Terms: Bilevel programming
• Geographic Terms: Naples (Italy)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01081372
• Record Type: Publication
• ISBN: 9781845640873
• Files: TRIS
• Created Date: Nov 28 2007 7:42AM