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Michel Bierlaire

Cette personne a quitté l’EPFL

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Publications associées (228)

Page 3 sur 12

A theoretical analysis of the cross-nested logit model

Michel Bierlaire

The emergence of Intelligent Transportation Systems and the associated technologies has increased the need for complex models and algorithms. Namely, real-time information systems, directly influencing transportation demand, must be supported by detailed b ...

2006

A multi-iterate method to solve systems of nonlinear equations

Michel Bierlaire, Michaël Clément Louis Ghislain Thémans, Frank Crittin

We propose an extension of secant methods for nonlinear equations using a population of previous iterates. Contrarily to classical secant methods, where exact interpolation is used, we prefer a least squares approach to calibrate the linear model. We propo ...

2007

Choice-driven dial-a-ride problem for demand responsive mobility service

Michel Bierlaire, Mohammad Yousef Maknoon, Shadi Sharif Azadeh

Urban mobility services face the challenge of planning their operations efficiently while complying with user preferences. In this paper, we introduce a new mathematical model called a choice-driven dial-a-ride problem (CD-DARP) which is a generalization o ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Mitigating the impact of errors in travel time reporting on mode choice modelling

Michel Bierlaire, Aurélie Glerum, Giovanni Longo, Amanda Blomberg Stathopoulos, Silvia Francesca Varotto

Travel time is a major component in understanding travel demand. However, the quantification of demand and forecasting hinges on understanding how travel time is perceived and reported. Travel time reporting is typically subject to errors and this paper fo ...

Elsevier Sci Ltd2017

An exploration of moving walkways as a transport system in urban centers

Michel Bierlaire, André Ourednik, Riccardo Scarinci, Farzaneh Bahrami

Moving walkways (MW) have been imagined as a possible means of transport since the late 19th century, and this system has fascinated urban planners and engineers ever since. Contrary to what has been imagined, moving walkways are only used in transportatio ...

Editorial Board Ejtir2017

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

Michel Bierlaire, Virginie Janine Camille Lurkin, Timothy Michael Hillel, Gael Lederrey

The emergence of Big Data has enabled new research perspectives in the discrete choice community. While the techniques to estimate Machine Learning models on a massive amount of data are well established, these have not yet been fully explored for the esti ...

2021

Metropolis-Hastings sampling of paths

Michel Bierlaire, Gunnar Flötteröd

We consider the previously unsolved problem of sampling paths according to a given distribution from a general network. The problem is difficult because of the combinatorial number of alternatives, which prohibits a complete enumeration of all paths and he ...

2013

Assisted specification of discrete choice models

Michel Bierlaire, Timothy Michael Hillel, Nicola Marco Ortelli

Determining appropriate utility specifications for discrete choice models is time-consuming and prone to errors. With the availability of larger and larger datasets, as the number of possible specifications exponentially grows with the number of variables ...

ELSEVIER SCI LTD2021

A utility optimization-based framework for joint in- and out-of-home scheduling

Michel Bierlaire, Timothy Michael Hillel, Negar Rezvany

Existing activity-based modeling predominantly focus on out-of-home activities in order to un- derstand transport demand. In this research, we extend the state of practice in activity-based modelling by determining both in- and out-of-home activities in a ...

2022

A demand-based optimization approach to find market equilibria in oligopolies

Michel Bierlaire, Virginie Janine Camille Lurkin, Stefano Bortolomiol

Oligopolistic competition occurs when a small number of operators compete for the same pool of customers. This is often the case in transportation, due to reasons such as external regulations, economies of scale and limited capacity of the infrastructure. ...

2019

A Master-Slave Approach for Object Detection and Matching with Fixed and Mobile Cameras

Michel Bierlaire, Murat Kunt, Alexandre Massoud Alahi

Typical object detection algorithms on mobile cameras suffer from the lack of a-priori knowledge on the object to be detected. The variability in the shape, pose, color distribution, and behavior affect the robustness of the detection process. In general, ...

2008

Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data

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

In this paper we extend the Multiple Indicator Solution (MIS) so that it can also be used to account for endogeneity when there are interactions between observed and unobserved factors in the specification of the utility function. We develop the theoretica ...

Elsevier Sci Ltd2016

Constraint-specific recovery networks for solving airline recovery problems

Michel Bierlaire, Matteo Salani

In this paper, we consider the recovery of an airline schedule after an unforeseen event called disruption, making the planned schedule infeasible. We present a modeling framework that allows the consideration of operational constraints within a Column Gen ...

2010

An optimization framework for a light electric vehicle sharing system

Michel Bierlaire, Selin Ataç, Nikola Obrenovic

The vehicle sharing systems (VSSs) are becoming more popular due to both financial and environmental effects. On the other hand, they face many challenges, such as inventory management of the vehicles and parking spots, vehicle imbalance, pricing strategie ...

2019

Trajectory Data Analysis on the Spatial and Temporal Influence of Pedestrian Flow on Path Planning Decision

Michel Bierlaire

The modeling of walking behavior and design of walk-friendly urban pathways have been of interest to many researchers over the past decades. One of the major issues in pedestrian modeling is path planning decision-making in a dynamic walking environment wi ...

2020

A Benders decomposition for maximum simulated likelihood estimation of advanced discrete choice models

Michel Bierlaire, Claudia Bongiovanni

In this paper, we formulate a mixed integer linear program (MILP) for the simulated maximum likelihood estimation (MLSE) problem and devise a Benders decomposition approach to speed up the solution process. This framework can be applied to any advanced dis ...

2022

Data-driven spatio-temporal discretization for pedestrian flow characterization

Michel Bierlaire, Marija Nikolic

We propose a novel approach to pedestrian flow characterization. The definitions of density, flow and velocity existing in the literature are extended through a data-driven spatio-temporal discretization framework. The framework is based on three-dimension ...

Elsevier Science Bv2017

Optimizing Fueling Decisions for Locomotives in Railroad Networks

Michel Bierlaire

Even though rail transportation is one of the most fuel efficient forms of surface transportation, the cost of fuel constitutes one of the major categories of very high operating costs for railroad companies. In the United States, unlike in Europe, fueling ...

2015

Controlling pedestrian flows with moving walkways

Michel Bierlaire, Nicholas Alan Molyneaux

Moving walkways are pedestrian dedicated hardware which generally decrease pedestrian travel time. We propose the utilization of these devices to dynamically control pedestrian flows in order to improve pedestrian dynamics. Three variations of a control st ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Are commuter air taxis coming to your city? A ranking of 40 cities in the United States

Michel Bierlaire

Given the high levels of congestion that many commuters in the United States experience, the urban air mobility community has been exploring the potential of using a new class of electric vertical takeoff and landing (eVTOL) aircraft for commuters. To date ...

PERGAMON-ELSEVIER SCIENCE LTD2021