Publications by Matthieu Marie Cochon de Lapparent

A conditional trust-region algorithm for the estimation of discrete choice models

Michel Bierlaire, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent

2024

Resampling estimation of discrete choice models

Michel Bierlaire, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent

In the context of discrete choice modeling, the extraction of potential behavioral insights from large datasets is often limited by the poor scalability of maximum likelihood estimation. This paper proposes a simple and fast dataset-reduction method that i ...

2024

An integrated accident injury severity and risk-taking behavior model for the evaluation of Via Sicura

Michel Bierlaire, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent, Silvia Francesca Varotto

2024

Stochastic adaptive resampling for the estimation of discrete choice models

Michel Bierlaire, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent

In the field of choice modeling, the availability of ever-larger datasets has the potential to significantly expand our understanding of human behavior, but this prospect is limited by the poor scalability of discrete choice models (DCMs): as sample sizes ...

2023

Faster estimation of discrete choice models via weighted dataset reduction

Michel Bierlaire, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent

2023

Variable Neighborhood Search for Assisted Utility Specification in Discrete Choice Models

Michel Bierlaire, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent

CCSD2020

Operational route choice methodologies for practical applications

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Evanthia Kazagli

This paper focuses on the application of tractable route choice models and presents a set of methods for deriving relevant disaggregate and aggregate route choice indicators, namely link and route flows. Tractability is achieved at the disaggregate level b ...

2020

Multiclass Speed-Density Relationship for Pedestrian Traffic

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Marija Nikolic, Riccardo Scarinci

We introduce a probabilistic modeling approach for pedestrian speed density relationship. It is motivated by a high scatter in real data that precludes the use of traditional equilibrium relationships. To characterize the observed pattern, we relax the hom ...

INFORMS2019

Train timetable design under elastic passenger demand

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Shadi Sharif Azadeh, Mohammad Yousef Maknoon, Tomas Robenek

2018

Modeling purchases of new cars: an analysis of the 2014 French market

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Anna Fernández Antolín

2018