Concept

Trip generation

Publications associées (33)

A data fusion approach for ride-sourcing demand estimation: A discrete choice model with sampling and endogeneity corrections

Ride-sourcing services offered by companies like Uber and Didi have grown rapidly in the last decade. Understanding the demand for these services is essential for planning and managing modern transportation systems. Existing studies develop statistical mod ...

2023

Demand-based operations of vehicle sharing systems

Selin Ataç

Vehicle sharing systems (VSSs) allow users to rent vehicles for a short period of time, in a more flexible and convenient manner compared to the traditional vehicle rental services. The long-term VSS subscription replaces the need for contract signing for ...

EPFL2023

A general framework to evaluate different rebalancing operations strategies in one-way car sharing systems

Michel Bierlaire, Nikola Obrenovic, Selin Ataç

Car sharing systems (CSSs) are one of the environmentally beneficial solutions in urban transportation. However, the operators still struggle to make these systems profitable. One of the main contributors in operational cost is rebalancing operations. Ther ...

Springer2023

TRIP: Trustless Coercion-Resistant In-Person Voter Registration

Bryan Alexander Ford, Verónica del Carmen Estrada Galiñanes, Louis-Henri Manuel Jakob Merino, Simone Maria Stefano Colombo, Jeffrey Richard Allen

Most existing remote electronic voting systems are vulnerable to voter coercion and vote buying. While coercion-resistant voting systems address this challenge, current schemes assume that the voter has access to an untappable, incorruptible device during ...

2022

Optimization and equilibrium problems with discrete choice models

Stefano Bortolomiol

Many transportation markets are characterized by oligopolistic competition. In these markets customers, suppliers and regulators make decisions that are influenced by the preferences and the decisions of all other agents. In particular, capturing and under ...

EPFL2022

Characterizing human mobility patterns in rural settings of sub-Saharan Africa

Andrea Rinaldo, Theophile Mande, Francisco Javier Perez Saez

Human mobility is a core component of human behavior and its quantification is critical for understanding its impact on infectious disease transmission, traffic forecasting, access to resources and care, intervention strategies, and migratory flows. When m ...

eLIFE SCIENCES PUBL LTD2021

Activity-based modeling and simulation of epidemics

Michel Bierlaire, Cloe Cortes Balcells, Rico Krüger

The SARS-CoV-2 outburst in March 2020 has led to the lockdown of several countries across the world. Mobility restrictions have been constantly put into action and reversed to find the trade-off between minimizing the number of infections and death and mit ...

2021

Generating daily activity schedules using machine learning Master Thesis Sergej Gasparovich June 19, 2020 Prof. M. Bierlaire, J. Pougala, T. Hillel Transport and Mobility Laboratory, EPFL Y. Liu Visual Intelligence

Sergej Gasparovich

The study of how people schedule their daily activities is of interest in the context of transport demand forecasting using activity based-models, where activity schedules are generated in order to estimate the trip demand they produce. Machine learning ha ...

2020

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

A disaggregate choice-based approach to find epsilon-equilibria of oligopolistic markets

Michel Bierlaire, Virginie Janine Camille Lurkin, Stefano Bortolomiol

We present a general framework to find epsilon-equilibrium solutions of oligopolistic markets in which demand is modeled at the disaggregate level using discrete choice models. Consumer choices are modeled according to random utility theory, and the choice ...

2019

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