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A prediction and behavioural analysis of machine learning methods for
  modelling travel mode choice
v1v2v3 (latest)

A prediction and behavioural analysis of machine learning methods for modelling travel mode choice

Transportation Research Part C: Emerging Technologies (TRC), 2023
11 January 2023
José Ángel Martín-Baos
Julio Alberto López-Gómez
Luis Rodriguez-Benitez
T. Hillel
Ricardo García-Ródenas
ArXiv (abs)PDFHTML

Papers citing "A prediction and behavioural analysis of machine learning methods for modelling travel mode choice"

3 / 3 papers shown
Enhancing Travel Choice Modeling with Large Language Models: A
  Prompt-Learning Approach
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach
Xuehao Zhai
Hanlin Tian
Lintong Li
Tianyu Zhao
221
3
0
19 Jun 2024
Scalable Kernel Logistic Regression with Nyström Approximation:
  Theoretical Analysis and Application to Discrete Choice Modelling
Scalable Kernel Logistic Regression with Nyström Approximation: Theoretical Analysis and Application to Discrete Choice Modelling
José Ángel Martín-Baos
Ricardo García-Ródenas
Luis Rodriguez-Benitez
Michel Bierlaire
133
2
0
09 Feb 2024
RUMBoost: Gradient Boosted Random Utility Models
RUMBoost: Gradient Boosted Random Utility ModelsTransportation Research Part C: Emerging Technologies (TRC), 2024
Nicolas Salvadé
Tim Hillel
104
5
0
22 Jan 2024
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