Please use this identifier to cite or link to this item:
Title: Link- and path-based traffic assignment algorithms computational and statistical study
Authors: Lee, D.-H. 
Nie, Y.
Chen, A.
Leow, Y.C.
Issue Date: 2002
Citation: Lee, D.-H.,Nie, Y.,Chen, A.,Leow, Y.C. (2002). Link- and path-based traffic assignment algorithms computational and statistical study. Transportation Research Record (1783) : 80-88. ScholarBank@NUS Repository.
Abstract: The computational performance of five algorithms for the traffic assignment problem (TAP) is compared with that of mid- to large-scale randomly generated grid networks. The applied procedures include the Frank-Wolfe, PARTAN, gradient projection, restricted simplicial decomposition, and disaggregate simplicial decomposition algorithms. A statistical analysis is performed to determine the relative importance of various properties (network size, congestion level, solution accuracy, zone-node ratio) of the traffic assignment problem for the five selected algorithms. Regression models, which measure central processing unit time and number of iterations consumed by each algorithm using various factors and their combinations, are derived to provide a quantitative evaluation. Ultimately, the findings of this research will be useful in guiding transportation professionals to choose suitable solution algorithms and to predict the resulting algorithm performance in TAPs.
Source Title: Transportation Research Record
ISSN: 03611981
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Jun 22, 2021

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.