The transportation planning process relies on travel forecasts that result from various transportation models. Some of the well-known models are formulated as non-linear convex optimization problems. Solving these problems is quite challenging due to their non-linear nature and their combinatorial structure. Large scale networks of practical interest increase the need for computationally efficient algorithms. The goal of this research is to improve upon existing algorithms for various models.
Publication Date:
Friday, October 1, 1999File Attachment:

Report Number:
103