In transportation models, "iterative improvement" refers to the continuous process of refining the model by repeatedly adjusting inputs, parameters, and assumptions based on new data or feedback. Each iteration aims to enhance accuracy, optimize performance, and better reflect real-world conditions, ultimately leading to more effective, efficient, and reliable transportation solutions.