DocumentCode
2365674
Title
A non dynamic model for ITS assessment
Author
Aron, Maurice ; Seidowsky, Régine ; Cohen, Simon
Author_Institution
GRETTIA Lab., Univ. Paris Est, Noisy le Grand, France
fYear
2011
fDate
5-7 Oct. 2011
Firstpage
865
Lastpage
872
Abstract
One of the elements of 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.
Keywords
automated highways; traffic engineering computing; ITS assessment; data driven traffic model; nondynamic model; traffic conditions; traffic simulation; Computational modeling; Equations; Estimation; Linear regression; Mathematical model; Predictive models; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
Conference_Location
Washington, DC
ISSN
2153-0009
Print_ISBN
978-1-4577-2198-4
Type
conf
DOI
10.1109/ITSC.2011.6082813
Filename
6082813
Link To Document