This paper focuses on the problem of congestion in the agricultural marketing transportation system. The purpose of this study is to 1) examine methodology for evaluating the cost of congestion, 2) relate appropriate research techniques for modeling traffic-congested systems, and 3) carry out analysis of congestion arising in the truck-to-ship intermodal grain transfer system at the Port of Houston. A stochastic network simulation model was constructed to carry out the - queuing analysis. The case study reveals congestion cost to be substantial and congestion-reducing investment in labor and capital economically feasible. The approach presented is purposed as a guide for further research into congestion related problems in the agricultural marketing transportation system.