Michel Bierlaire

Full professor

École Polytechnique Fédérale de Lausanne

Switzerland

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Michel Bierlaire is a Full Professor at École Polytechnique Fédérale de Lausanne, Switzerland. His research areas include activity scheduling influenced by COVID-19 policies, operational efficiency in bike sharing systems, and travel demand modeling. He has contributed significantly to the understanding of transportation behaviors and decision-making processes through various analytical models and reviews in the field.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

Collaborators (6)

Matthieu de Lapparent

School of Engineering and Management Vaud, HES-SO University of Applied Sciences and Arts Western Switzerland

SWITZERLAND

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Rico Krueger

Associate Professor at Technical University of Denmark

Technical University of Denmark

DENMARK

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Ricardo Garcia-Rodenas

Profesor Titular de Universidad

University of Castilla-La Mancha

SPAIN

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Silvia Francesca Varotto

Research assistant professor

École nationale d'administration publique

FRANCE

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Tim Hillel

Lecturer in Analytics of Infrastructure Systems

University College London

UNITED KINGDOM

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Nejc Geržinič

Delft University of Technology

NETHERLANDS

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Michel Bierlaire

Research Interests

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About

Articles (10)

Modeling the influence of restriction policies and perceived risk due to COVID-19 on daily activity scheduling

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

Bike sharing systems: The impact of precise trip demand forecasting on operational efficiency in different city structures

An integrated ordered logit and latent variable model for accident injury severity and risk-taking behavior

50 years of behavioral models for transportation and logistics

A Review of Activity-based Disaggregate Travel Demand Models

Light electric vehicle sharing systems: Functional design of a comprehensive decision making solution

Resampling estimation of discrete choice models

An instance-based learning approach for evaluating the perception of ride-hailing waiting time variability

Simulating intra-household interactions for in- and out-of-home activity scheduling

Collaborators (6)

Matthieu de Lapparent

Rico Krueger

Ricardo Garcia-Rodenas

Silvia Francesca Varotto

Tim Hillel

Nejc Geržinič

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