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Estimating the perturbed utility route choice model with trip-level data

Author

Listed:
  • Mogens Fosgerau
  • Nikolaj Nielsen
  • Thomas Rasmussen
  • Rui Yao

Abstract

We provide an estimator for the perturbed utility route choice (PURC) model that works with data at the level of individual trips. The estimator is a nested fixed-point algorithm that combines an upper bias-corrected linear regression problem with a lower individual-level perturbed utility maximization problem. We establish the statistical properties of the microPURC estimator and confirm these results with an experiment using simulated data. Finally, we demonstrate the estimator in practice using a large real-world dataset.

Suggested Citation

  • Mogens Fosgerau & Nikolaj Nielsen & Thomas Rasmussen & Rui Yao, 2026. "Estimating the perturbed utility route choice model with trip-level data," Papers 2608.11464, arXiv.org.
    • Handle: RePEc:arx:papers:2608.11464
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    File URL: https://arxiv.org/pdf/2608.11464
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