The article explores different models for how people choose routes in traffic, focusing on how these models affect traffic flow and travel time. The researchers developed new route choice models and compared them to the traditional model. They found that the new models can improve system performance and reduce travel time, with the Paired Combinatorial Logit model showing the most significant improvements. The study also looked at how long it takes for the different models to reach equilibrium and found that the Generalized Nested Logit model takes the longest. Overall, the new models offer potential benefits for managing traffic flow and improving travel efficiency.