activity
20152021
most citedImproving the Accuracy and Efficiency of Online Calibration for Simulation-based Dynamic Traffic Assignment

23 citations · 40 across the 3 of their papers we have counts for

collaborators
Showing econ.EMShow all

1 paper · 1 filter

econ.EM2020★ 11 cited

A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability

Yafei Han, Francisco Camara Pereira, Moshe Ben-Akiva +1

Discrete choice models (DCMs) require a priori knowledge of the utility functions, especially how tastes vary across individuals. Utility misspecification may lead to biased estima…