  In this paper we propose and develop classical Frank--Wolf algorithm for
Beckmann's type models. This is not new, but we investigate details that allows
us to speed up. We also consider stable dynamic like models. First model of
this type was proposed 15 years ago by Yu. Nesterov and A. DePalma. We propose
randomized dual averaging method with special (sum-type) randomization. For
both of the problems we obtain the rates of convergences. It seems that this
estimations to be unimprovable without additional assumption about problem
formulation.
