A non dynamic model for ITS assessment

One of the elements of Intelligent Transportation Systems (ITS) assessment is the comparison of actual traffic conditions (after ITS has been installed) and traffic conditions which would have occurred, had no change happened. Apart from traffic simulation, which is the most appropriate tool to predict traffic conditions in the case of saturation by virtue of the dynamic (in time and space) equations included, a data driven traffic model is a credible alternative, particularly when congestion is not the core of the problem and when the closeness to initial data is important to compare indicators. Such a tool is outlined here, with its advantages and drawbacks. A very limited numerical application is given. Lines of future research to develop the model are proposed.

• Record URL:
  https://doi.org/10.1109/ITSC.2011.6082813
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6069628
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Aron, M
  • Seidowsky, R
  • Cohen, S
• Conference:
  • 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)
  • Location: Washington DC, United States
  • Date: 2011-10-5 to 2011-10-7
• Publication Date: 2011-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 865-872
• Monograph Title: 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)

Subject/Index Terms

• TRT Terms: Evaluation and assessment; Intelligent transportation systems; Traffic models
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01564747
• Record Type: Publication
• ISBN: 9781457721984
• Files: TRIS
• Created Date: May 20 2015 2:32PM