01373443

Component

https://doi.org/10.3141/2279-03

http://scholar.google.com...khor&publication_year=2012

This paper develops path-based algorithms to solve the C-logit stochastic user equilibrium (SUE) problem on the basis of an adaptation of the gradient projection method. The algorithms’ strategies for step size determination differ. Three strategies are investigated: (a) predetermined step size, (b) Armijo line search, and (c) self-adaptive line search. The algorithms are tested on the well-known Winnipeg (Manitoba, Canada) network. Two sets of experiments are conducted: (a) a computational comparison of different line search strategies and (b) the impact of different modeling specifications for route overlapping (a flow-independent or a flow-dependent commonality factor). The results indicate that the path-based algorithm with the self-adaptive step size strategy performs better than the other step size strategies. The paper shows that, depending on the model parameters, particularly the commonality factor parameter, the C-logit SUE flows may be quite different from the multinomial logit SUE flows.

01453432

12-0890

English

pp 21–30

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309223195

Print

Figures; References; Tables

Algorithms; Logits; Traffic assignment

Path-based algorithms; Road networks; Stochastic user equilibrium models

Winnipeg (Canada)

Data and Information Technology; Highways; I70: Traffic and Transport

TRIS, TRB, ATRI

Feb 8 2012 4:58PM

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