![]() peak hour (hour of highest traffic congestion). The traffic assignment models were analyzed by using the algorithm during the P.M. The applied algorithm was analyzed in some aspects such as number of iterations, convergence patterns, response time, as well as changes in network demand. The user equilibrium distribution of flow was found by using the Frank-Wolfe algorithm. ![]() The software code was implemented in Visual Basic.NET®, supported by some operations using Microsoft Excel®, and hardcoded for a segment of the Medellin network. This paper explains the process of writing a software application for a given network (Network of Medellin) that solves the deterministic user equilibrium problem. The studies were based on an Origin/Destination Survey (2005), Analysis of bus routes (2006), and Mobility Master Plan (2006). This paper is based on data obtained from most recent transportation studies done in the Metropolitan Area of Valle de Aburrá, city of Medellín and other 9 municipalities.
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