TY - JOUR

T1 - A perturbed utility route choice model

AU - Fosgerau, Mogens

AU - Paulsen, Mads

AU - Rasmussen, Thomas Kjær

PY - 2022/3/1

Y1 - 2022/3/1

N2 - We propose a route choice model in which traveler behavior is represented as a utility maximizing assignment of flow across an entire network under a flow conservation constraint. Substitution between routes depends on how much they overlap. The model is estimated considering the full set of route alternatives, and no choice set generation is required. Nevertheless, estimation requires only linear regression and is very fast. Predictions from the model can be computed using convex optimization, and computation is straightforward even for large networks. We estimate and validate the model using a large dataset comprising 1,337,096 GPS traces of trips in the Greater Copenhagen road network.

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

KW - Discrete choice

KW - Networks

KW - Perturbed utility

KW - Route choice

KW - Faculty of Social Sciences

KW - Route choice

KW - perturbed utility

KW - Discrete choice

KW - NETWORKS

U2 - 10.1016/j.trc.2021.103514

DO - 10.1016/j.trc.2021.103514

M3 - Journal article

VL - 136

JO - Transportation Research Part C: Emerging Technologies

JF - Transportation Research Part C: Emerging Technologies

SN - 0968-090X

M1 - 103514

ER -