A Primal-Dual Traffic Assignment Algorithm

1975 ◽  
Vol 22 (1) ◽  
pp. 87-95 ◽  
Author(s):  
E. R. Petersen
2018 ◽  
Vol 7 (1) ◽  
pp. 741-764 ◽  
Author(s):  
Babak Javani ◽  
Abbas Babazadeh ◽  
Avishai (Avi) Ceder

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1217
Author(s):  
Meruza Kubentayeva ◽  
Alexander Gasnikov

In this paper, we consider the application of several gradient methods to the traffic assignment problem: we search equilibria in the stable dynamics model (Nesterov and De Palma, 2003) and the Beckmann model. Unlike the celebrated Frank–Wolfe algorithm widely used for the Beckmann model, these gradients methods solve the dual problem and then reconstruct a solution to the primal one. We deal with the universal gradient method, the universal method of similar triangles, and the method of weighted dual averages and estimate their complexity for the problem. Due to the primal-dual nature of these methods, we use a duality gap in a stopping criterion. In particular, we present a novel way to reconstruct admissible flows in the stable dynamics model, which provides us with a computable duality gap.


2011 ◽  
Vol 18 (2) ◽  
pp. 190-197 ◽  
Author(s):  
H. Ramazani ◽  
Y. Shafahi ◽  
S.E. Seyedabrishami

ICT Express ◽  
2017 ◽  
Vol 3 (4) ◽  
pp. 204-208
Author(s):  
Taylor Cox ◽  
Parimala Thulasiraman

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