Ricardo Garcia Rodenas

Optimization with constraint learning for pricing services under competition featured image

Optimization with constraint learning for pricing services under competition

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José Ángel Martín Baos
The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach featured image

The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach

This paper addresses the time slot allocation problem within the context of a liberalized passenger railway market as a multi-objective model. We propose two criteria for making …

nikola-besinovic
A model for pricing freight rail transport access costs: economic and environmental perspectives featured image

A model for pricing freight rail transport access costs: economic and environmental perspectives

In deregulated railway markets, efficient management of infrastructure charges is essential for sustaining railway systems. This study sets out a method for infrastructure managers …

ricardo-garcia-rodenas
Scalable kernel logistic regression with Nyström approximation: Theoretical analysis and application to discrete choice modelling featured image

Scalable kernel logistic regression with Nyström approximation: Theoretical analysis and application to discrete choice modelling

The application of kernel-based Machine Learning (ML) techniques to discrete choice modelling using large datasets often faces challenges due to memory requirements and the …

jose-angel-martin-baos
An optimal control model for determining freight rail transport access costs featured image

An optimal control model for determining freight rail transport access costs

ricardo-garcia-rodenas
PyKernelLogit: Penalised maximum likelihood estimation of Kernel Logistic Regression in Python featured image

PyKernelLogit: Penalised maximum likelihood estimation of Kernel Logistic Regression in Python

This paper presents a software package developed in Python that allows the application of the technique known as Kernel Logistic Regression (KLR), a Machine Learning (ML) tool, to …

jose-angel-martin-baos
A prediction and behavioural analysis of machine learning methods for modelling travel mode choice featured image

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

The emergence of a variety of Machine Learning (ML) approaches for travel mode choice prediction poses an interesting question to transport modellers: which models should be used …

jose-angel-martin-baos