A perturbed utility route choice model

We propose a route choice model in which traveler behavior is represented as utility maximizing assignment of flow across an entire network under conservation constraint. Substitution between routes depends on how much they overlap. The estimated considering the full set alternatives, and no generation required. Nevertheless, estimation requires only linear regression very fast. Predictions from can be computed using convex optimization, computation straightforward even for large networks. estimate validate dataset comprising 1,337,096 GPS traces trips Greater Copenhagen road network. • Traveler all Estimation optimization. Estimate