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Transport and Mobility Laboratory: Research projects

TRANSP-OR

Operations Research

We identify new solutions to transportation problems, on the ground, in the air, or on the sea, transport of people or goods, whatever the mode. We focus on technical solutions, but also on their impact on the system as a whole. We are also interested in the interactions of the transportation systems with the land use, the economy, the environment, etc.

Optimization of individual mobility plans to simulate future travel in Switzerland

This project, joint with Swiss Federal Railways (SBB) will develop a new activity-based modelling approach based on optimization of individual daily mobility plans. This approach will be implemented within SBB's existing nationwide model for Switzerland for investment and service planning decisions for future transportation.

Principal investigator: Michel Bierlaire
Project manager: Tim Hillel
Sponsor: Innosuisse (Swiss Innovation Agency)
Period: September 01, 2020-March 01, 2022
Collaborators: Janody Pougala, Rico Krueger
External collaboration: Patrick Manser
External collaboration: Wolfgang Scherr; LaTeX description

OrgVisionPro: Automated organizational design and optimization

This project, joint with CLEAP S.A., is will develop advanced analytics algorithms to propose organization design (OD) scenarios based on the existing situation, constraints, and future needs of a business. These scenarios will support organizations in shaping their future by optimizing their structure and operating models.

Principal investigator: Michel Bierlaire
Project managers: Rico Krueger, Tim Hillel
Sponsor: Innosuisse (Swiss Innovation Agency)
Period: October 01, 2019-June 30, 2021
Collaborators: Melvin Wong, Nour Dougui
External collaboration: Laurent Jaquenoud; LaTeX description

Incorporating competitors' behavior in demand based optimization models

The starting point of this research project is the general framework developed in the SNF research project 200021_165636 entitled “Incorporating advanced behavioral models in mixed integer linear optimization”. The project aims at formulating explicitly the complex interaction between the supply and demand actors. We hypothesize that the decisions of supply actors (such as capacity, assortment, and price) are highly influenced by the decisions of other actors, through competition within the market. In this project, we will therefore explicitly consider multiple operators that compete for the same pool of customers. Each operator will take the supply-side decisions that optimize its performance function (e.g., maximization of revenue). Non-cooperative game theory is commonly used to model such oligopolistic competition. We plan to investigate how to integrate these games in the already developed framework. In this context, the objective will be to analyze the concept of equilibrium, that is, stationary states of the system where no actor has an incentive to change his/her decisions.

Principal investigator: Michel Bierlaire
Project manager: Virginie Lurkin
Sponsor: Swiss National Science Foundation
Period: November 01, 2017-October 31, 2020
Collaborator: Stefano Bortolomiol; LaTeX description

Design of a car-free city center: a fringe parking system with accelerated moving walkways

This project is conducted on a fellowship "The EuroTech Postdoc Programme". A car-free city center is a valuable solution for decreasing traffic congestion and CO2 emissions, and improving active mobility and quality of life. To achieve these goals, one of the biggest challenges is the relocation of parking places scattered in the inner district, which cause cruising for available parking as well as car inflows. A possible solution is a “fringe parking” system, which groups parking into a limited number of spots on the border of the district. However, this may decrease the level of accessibility moving the parking away from the final destinations. The key idea of this research is to use “accelerated moving walkway” (AMW), a novel transport system, in combination with a fringe parking system to design a car-free city center with high accessibility. The goal of the research is to propose and identify the optimal configuration of a fringe parking system with AMWs, as a solution to city centers. The main methodologies are network design optimization and traffic assignment.

Principal investigator: Michel Bierlaire
Project manager: Yuki Oyama
Sponsor: European Commission
Period: October 01, 2018-September 30, 2020
External collaboration: Constantinos Antoniou (TUM); LaTeX description

Capacity building program in urban mobility and transportation

The purpose of this project is to develop graduate curriculum in urban mobility and transportation. The relevant courses of this curriculum will be available in MOOC format. This program is a collaborative project between Kwame Nkrumah University of Science and Technology (KNUST) and Urban Transport Systems Laboratory (LUTS) and Transport and Mobility Laboratory (TRANSP-OR) at EPFL.

Principal investigator: Michel Bierlaire
Project managers: Yousef Maknoon, Riccardo Scarinci, Yuki Oyama
Sponsor: State Secretariat for Economic Affairs
Period: September 01, 2016-September 01, 2019
External collaboration: Kwame Nkrumah University of Science and Technology (KNUST)
External collaboration: LUTS; LaTeX description

Incorporating advanced behavioral models in mixed integer linear optimization

Discrete choice models are used for detailed representation of the "demand". However, their complexity makes mathematical formulations highly non convex in the explanatory variables. On the other hand, Mixed Integer Linear Programs (MILP) are optimization problems with discrete variables that are used in many applications to design and configure the "supply". In this project, we propose a new modeling framework that allows to include any random utility model in a mixed integer optimization formulation. The heterogeneity of demand is captured within the general choice model framework and the offers are tailored in a way that is beneficial for users as wells as providers. The main objective of the project is to obtain a framework that is both general, so that it can be applied in many applications, and operational, so that it can be used in practice.

Principal investigator: Michel Bierlaire
Project manager: Shadi Sharif Azadeh
Sponsor: Swiss National Science Foundation
Period: April 01, 2016-March 31, 2019
Collaborator: Meritxell Pacheco; LaTeX description

TRANS-FORM: Smart transfers through unravelling urban form and travel flow dynamics

The Federal Department of the Environment, Transport, Energy and Communications (DETEC)

TRANS-FORM, a cooperation between universities, industrial partners, public authorities and private operators, will develop, implement and test a data driven decision making tool that will support smart planning, and proactive and adaptive operations. The objective of the project is to better understand transferring dynamics in multi-modal public transport systems and develop insights, strategies and methods to support decision makers in transforming public transport usage to a seamless travel experience by using smart data. The tool will integrate new concepts and methods of behavioral modelling, passenger flow forecasting and network state predictions into real-time operations. TRANS-FORM is funded under the European Commission Horizon 2020 ERA-NET program.

Principal investigator: Michel Bierlaire
Project managers: Shadi Sharif Azadeh, Riccardo Scarinci, Yuki Oyama
Sponsor: The Federal Department of the Environment, Transport, Energy and Communications (DETEC)
Period: March 03, 2016-March 03, 2019
Collaborators: Nicholas Molyneaux, Nikola Obrenovic; LaTeX description

Accessibility based optimization of educational infrastructure networks

The aim of this project is to propose a methodology to assess and optimize educational infrastructure networks based on accessibility. In 2014, the World Bank launched the Global Program for Safer Schools (GPSS) with a focus on integrating risk reduction considerations into education infrastructure policies and investments. The GPSS aims to boost and facilitate informed, large-scale investments for the safety and resilience of new and existing school infrastructure at risk from natural hazards, contributing to high-quality learning environments. Understanding accessibility of school infrastructure networks is an important element to optimize risk reduction interventions as well as to improve the quality and efficiency of the educational service. To support this goal, the Transportation and Mobility Laboratory proposes a methodology to assess and optimize educational infrastructure networks based on accessibility; and proposes solutions to improve the performance of educational infrastructure networks. In other words, researchers will evaluate the risks based on the school network, including parameters like transportation network, home location of the students, mobility patterns... They will then provide a methodology in order to help direct investments to reduce the risks in case of disaster.

Principal investigator: Michel Bierlaire
Project manager: Riccardo Scarinci
Sponsor: World Bank
Period: January 01, 2018-December 31, 2018
External collaboration: EPFL-TRACE; LaTeX description

Network Design for SBB Cargo

This project aims at developing an algorithm for the overall design of SBB cargo’s network of bundling points. SBB Cargo operates a network of 2 marshaling yards, 65 shunting yards and about 350 of small bundling points. The operation as such is costly and the network might contain redundant bundling points. The overall interest of SBB Cargo is to minimize the operating cost of their network and to compare its performance to a better network, completely designed from scratch. The resulting framework is then planned to be used to improve the current network of SBB cargo and its future development. The main research challenge of this project is to incorporate the SBB Cargo needs into one model while taking into account the specifics of the railway network and its operation. The researchers from the Transport and Mobility Laboratory (TRANSP-OR) will develop a heuristic algorithm that gives as an output a complete network design based on the inputs (cargo demand, capacity, types and costs of different bundling points). The algorithm can be further adjusted by entering the already existing bundling points. The effectiveness of the proposed algorithm will be tested thorough comparison with existing solutions. TRANSP-OR, led by prof. Michel Bierlaire, has a track record of successful projects of solving highly complex problems arising in industrial sector. This one-year project is sponsored by SBB-CFF-FFS.

Principal investigator: Michel Bierlaire
Project managers: Nikola Obrenovic, Virginie Lurkin
Sponsor: Swiss Federal Railways (SBB)
Period: September 01, 2017-August 31, 2018
External collaboration: SBB; LaTeX description

Cost reduction using passenger centric timetabling

To design their timetables, train-operating companies mostly focus on operational aspects and cost. In Switzerland, a paradigm of transportation planning is to create regular-interval timetables (a.k.a. cyclic timetables) which aim for maximal transfer connections, simplicity and hence user friendlyness. SBB uses travel simulation models to predict the impact of timetable changes on travel demand and revenue. Mathematical timetable optimization methods are not yet used by SBB. But a recent EPFL thesis (2016) shows that the timetable itself has a significant impact on the performance of the operator in terms of the number of transported passengers: a timetable design that considers the behavior of passengers leads to higher revenue(s), market share(s), higher value of passenger-km etc. In this project, the aim is to use the optimization methods developed by the TRANSP-OR Lab consisting in combining cyclic and non-cyclic timetables and apply it to the Swiss Federal Railways’ timetable design. The goal is to evaluate the performance of the current Swiss interval timetable and to compare it to the optimal one. Suitability of hybrid timetables for the Swiss railway network will be investigated. This one-year project is carried out by the Transport and Mobility Laboratory, led by prof. Michel Bierlaire. TRANSP-OR has vast competence in modeling, optimization and simulation of transportation systems. The project is sponsored by SBB CFF FFS.

Principal investigator: Michel Bierlaire
Project manager: Virginie Lurkin
Sponsor: Swiss Federal Railways (SBB)
Period: September 01, 2017-August 31, 2018
External collaboration: SBB; LaTeX description

myTOSA 2.0 - Enhanced simulation and optimization tool for cost-optimal deployment of TOSA electric buses

Commission pour la technologie et de l'innovation, Office Fédéral de la formation professionnelle et de la technologie.

The TOSA catenary-free electric bus system is the ABB response to the challenge of decreasing the environmental impact of public transportation. The project builds on the previous CTI project - myTOSA - and it aims to introduce new business analytics features and to improve the fidelity of the simulation and (robust) optimization modules used for a cost-optimal deployment of the TOSA charging infrastructure and component sizing.

Principal investigator: Michel Bierlaire
Project managers: Riccardo Scarinci, Virginie Lurkin
Sponsor: Commission pour la technologie et de l'innovation, Office Fédéral de la formation professionnelle et de la technologie.
Period: September 30, 2015-November 16, 2017
Collaborators: Shadi Sharif Azadeh, Yousef Maknoon
External collaboration: ABB, ABB Sécheron
External collaboration: HES-SO Haute Ecole Spécialisée de Suisse occ.; LaTeX description

PostCarWorld: A Trans-Discplinary Multi-Dimensional Stimulation

The goal of this project is to explore the future of mobility through the role of the car. The main originality of this research is to raise the following problem: “What, if the world were a post-car world”. The basic idea is to define a hypothetical situation where the place of the car would have been dramatically reduced and to use qualitative and quantitative simulation methods to examine the consequences of this initial hypothesis. The research is based on the idea that by simulating the future through scenarios we can understand the present better. This project is fully interdisciplinary and trans-disciplinary. It brings together social sciences, engineering sciences, urban planning and urban design in six different laboratories associated to three different universities. The role of TRANSP-OR in this project is to study and optimize an innovative transport system based on accelerated moving walkways (AMW). Differently from constant moving walkways, AMW can reach speeds up to 15km/h thanks to an acceleration section. The project aims to identify the optimal design of a network of AMW using optimization. A network of accelerated moving walkway in a car-free urban environment may present an innovative solution, and this project could delineate the system feasibility.

Principal investigator: Michel Bierlaire
Project manager: Riccardo Scarinci
Sponsor: Swiss National Science Foundation
Period: December 01, 2013-November 30, 2016
More information:: http://postcarworld.epfl.ch/; LaTeX description

Demand-based facility location problem

The project aims at integrating demand models in a state-of-the-art mathematical model for Location-Routing Problem (LRP) in the context of energy. We are investigating different assumptions about the representation of the demand in the context of facility location and routing problem.

Principal investigator: Michel Bierlaire
Project manager: Shadi Sharif Azadeh
Sponsor: EDF
Period: August 01, 2015-December 31, 2015
External collaboration: EDF; LaTeX description

Air navigation platform: flights planning by using real-time weather data

Flying safer, cheaper, faster are keywords of this new service. This project aims at integrating an automatic route planning system, tightly coupled with the real-time meteorological data, taking into account energy consumption of the mobile device hosting the application. The route will be computed in real time on mobile devices using the information of weather forecast and respecting to the constraints such as airspace/airport restriction and terrain avoidance, etc. The energy efficient implementation of the routing application is crucial, to provide routing information to the pilot during the entire trip. This becomes challenging, as automatic route planning often requires complex algorithms. In this project, we will target at a three-dimensional flight route-planning problem and design an efficient but robust algorithm to solve the problem. The project will last 18 months. It is conducted by TRANSP-OR in collaboration with the Xample Sàrl, ICARE Institut de recherche and Haute Ecole Spécialisée de Suisse Occidentale (HES-SO).

Principal investigator: Michel Bierlaire
Project managers: Yousef Maknoon, Shadi Sharif Azadeh
Sponsor: Commission pour la technologie et de l'innovation, Office Fédéral de la formation professionnelle et de la technologie.
Period: March 02, 2014-September 02, 2015
External collaboration: Xample Sàrl
External collaboration: ICARE Institut de recherche
External collaboration: Haute Ecole Spécialisée de Suisse Occidentale; LaTeX description

Large scale robust optimization of bulk port operations.

The primary objective of this research is to develop large scale robust optimization algorithms providing sustainable solutions for bulk port operations accounting for uncertainties and disruptions in operations. While significant contributions have been made for container terminals, relatively little attention has been directed to the use of operations research methods and techniques to optimize bulk port operations. In this research we aim to develop large scale mathematical models for bulk port operations, with emphasis on integrated planning; furthermore, we plan to include robustness to account for uncertainties in operations. A broader objective of our work is to study how the methodologies developed for bulk ports can be extended to multi-modal transport operations, including other domains such as container ports, airlines and railways, with a view to optimize the usage and operations of existing infrastructure to achieve sustainability in the mobility of goods and people. The devised models and algorithms will be tested and validated in a real-world context using as a case study, the SAQR port in Ras Al Khaimah, UAE.

Principal investigator: Michel Bierlaire
Project managers: Nitish Umang, Ilaria Vacca
Sponsor: EPFL Middle East
Period: January 01, 2011-April 30, 2014
External collaboration: Saqr Port (Emirate of Ras Al Khaimah, UAE); LaTeX description

CLIP-AIR concept: Integrated schedule planning for a new generation of aircrafts

Sustainability has become a key topic in transportation in the last decades where the aim is to reduce the impact of transportation on the environment. One of the most important paths toward sustainability in this sector is to optimize transportation operations required in several dimensions to fulfill a given transport demand. To achieve this goal in the context of multimodal transport, there is a clear need for flexibility in capacity. This flexibility is adequately provided by a new concept developed at EPFL, named Clip-Air, for air transport. Clip-Air is a modular innovative aircraft with detachable load units which enable to adjust at best capacity according to demand. The decoupling of the load (capsules) and carrying units (wings) allows for simplified fleet management and maintenance operations for airlines and is expected to improve the ground operations for airports. Clip-Air also provides effective possibility of combining commercial freight and passengers on the same flight without any compromise in comfort. Besides, Clip-Air is designed to operate in a multi-modal context and is expected to improve the multi-modality concept by allowing a better integration between air transport and other transport modes. The objective of this research is to assess the actual impact of Clip-Air’s modularity on demand satisfaction, operational costs and environmental issues at the system level. The contributions will consist of models and algorithms designed to perform comparative analysis of operations of airlines and airports in various scenarios.

Principal investigator: Michel Bierlaire
Project managers: Bilge Atasoy, Matteo Salani
Sponsor: EPFL Middle East
Period: November 01, 2010-December 31, 2013
External collaboration: Dalle Molle Institute for Artificial Intelligence (IDSIA, Lugano, Switzerland)); LaTeX description

myTOSA: catenary-free 100% electric urban public mass-transportation system

myTOSA is a simulation tool for the dimensioning, commercial promotion and case study set-up for ABB's revolutionary "catenary-free" 100% electric urban public mass-transportation system TOSA 2013. The objective of the project is to provide a simulation tool that will allow ABB to perform the proper dimensioning, promote the commercial idea and allow for specific study cases for the implementation of ABB's new public electric transportation concept, namely TOSA 2013.

Principal investigator: Michel Bierlaire
Project manager: Jianghang Chen
Sponsor: Commission pour la technologie et de l'innovation, Office Fédéral de la formation professionnelle et de la technologie.
Period: March 01, 2012-September 30, 2013
Collaborators: Bilge Atasoy, Tomás Robenek
External collaboration: ABB Sécheron
External collaboration: HE - ARC; LaTeX description

Models and methods for large scale optimization problems and applications in container terminals

We develop new strategies to tackle large scale problems and their optimization. We focus in particular applications arising in the optimization of container terminal operations.

Principal investigator: Michel Bierlaire
Project managers: Ilaria Vacca, Matteo Salani
Sponsor: Swiss National Science Foundation
Period: December 01, 2009-November 30, 2012; LaTeX description

A Solution Technique for the Locomotive Refueling Problem

This problem corresponds to refueling locomotives at different station yards during the course of its journey. Locomotive tanks have a fixed fuel capacity and prices of fuel vary across yards. In addition, there is a fixed cost for hiring a refueling truck at a yard and every refueling stop that the locomotive makes. Locomotives can power different train sets during a cyclical planning horizon running 14 days. The objective of this exercise is to minimize the total fuel costs – fixed and operational – for a given set of locomotives, trains and yards. In addition, there are numerous constraints relating to refueling, locomotive tank capacity, refueling truck capacity etc. This problem has similarity to the network flow problem. We formulate this problem as a Mixed Integer Program (MIP) and present our experience in this project.

Principal investigator: Michel Bierlaire
Project manager: Prem Kumar
Sponsor: Transport and Mobility Laboratory, EPFL
Period: July 15, 2010-July 15, 2012; LaTeX description

Optimizing Staffing Plans at Airports

Minimizing operating costs for maintaining ground personnel at airports is a complex problem due to uneven flight activities, passenger service expectations and staffing inflexibilities due to shift durations. In this work, we would use the flight schedule and service criteria to develop a method to find optimal shift timings that considers non-productive time due to activity changeovers, the mix of full-time and part-time workers and passenger waiting time criteria.

Principal investigator: Michel Bierlaire
Project manager: Prem Kumar
Sponsor: Transport and Mobility Laboratory, EPFL
Period: October 01, 2010-October 01, 2011; LaTeX description

Robust Optimization of Railway Locomotive Assignment

Locomotive assignment at Railway companies is a complex problem that must optimally assign a set of locomotives to known, scheduled trains. Each train has a power and traction requirement and locomotives may be available in groups known as "consist". There is a cost involved in breaking or adding a locomotive to a consist. Determining an optimal locomotive assignment that would also be robust to handle delays, maintenance requirements and other unknown factors is a complex problem. We are inspired from the research in a similar, closely related subject in the airline industry and would explore the possibilities of extending the same to railways. This project would be a part of the larger concept of "Flexible Transportation Systems"

Principal investigator: Michel Bierlaire
Project manager: Prem Kumar
Sponsor: Transport and Mobility Laboratory, EPFL
Period: October 01, 2010-September 30, 2011
Collaborator: Francesco Piu; LaTeX description

Column generation methods for the recovery of disrupted airline schedules

Robust planning and recovery from disruptions for airlines operations

Principal investigator: Michel Bierlaire
Project manager: Niklaus Eggenberg
Sponsor: Swiss National Science Foundation
Period: October 01, 2007-August 31, 2010; LaTeX description

SOPHOS: Simulation-based Optimization of the Performance in Hospital Operating suites

Design an optimization framework combining macroscopic and microscopic models, with applications in hospital management and urban road traffic.

Report(s):: Osorio, C., and Bierlaire, M. An analytic finite capacity queueing network model capturing blocking, congestion and spillbacks
Principal investigator: Michel Bierlaire
Project manager: Carolina Osorio Pizano
Sponsor: Swiss National Science Foundation
Period: December 01, 2007-November 30, 2009; LaTeX description

Optimization of container terminal operations

Design and development of models and algorithms for the optimization of operations in seaport container terminals.

Report(s):: Vacca, I., Bierlaire, M., and Salani, M. Optimization at Container Terminals: Status, Trends and Perspectives (revised version); Giallombardo, G., Moccia, L., Salani, M., and Vacca, I. Modeling and Solving the Tactical Berth Allocation Problem
Principal investigator: Michel Bierlaire
Project managers: Ilaria Vacca, Matteo Salani
Sponsor: Transport and Mobility Laboratory, EPFL
Period: February 01, 2007-November 30, 2009; LaTeX description

Simulation-based optimization of a railroad yard

Simulation-based optimization of the operations of Vale's railroad yards.

Principal investigator: Michel Bierlaire
Project managers: Matteo Salani, Anne Curchod
Sponsor: Vale
Period: July 01, 2008-February 28, 2009; LaTeX description

Schedule disruption recovery for airlines

Development of a software product dedicated to airlines and providing solutions to recover from schedule disruptions with minimum cost.

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Principal investigator: Michel Bierlaire
Project manager: Matteo Salani
Sponsor: Commission pour la technologie et de l'innovation, Office Fédéral de la formation professionnelle et de la technologie.
Period: June 01, 2006-May 31, 2008
Collaborator: Niklaus Eggenberg
External collaboration: APM Technologies SA; LaTeX description

SOPHOS: Simulation-based Optimization of the Performance in Hospital Operating Suites

Design an optimization framework for the operation suites in hospitals, using simulation tools

Principal investigator: Michel Bierlaire
Project manager: Carolina Osorio Pizano
Sponsor: Swiss National Science Foundation
Period: December 01, 2005-November 30, 2007
External collaboration: HUG (Hôpital Universitaire Genève); LaTeX description

Optimization methods for advanced discrete choice models

Development of optimization algorithms designed for the maximum likelihood estimation of advanced discrete choice models where the objective function is singular, and non-trivial constraints are imposed on the parameters

Principal investigator: Michel Bierlaire
Project manager: Michaël Thémans
Sponsor: Swiss National Science Foundation
Period: April 01, 2004-March 31, 2007; LaTeX description

Location of distribution centres

Optimization of the location of distribution centres for Postlogistics, Switzerland

Principal investigator: Michel Bierlaire
Project manager: Carolina Osorio Pizano
Sponsor: Transport and Mobility Laboratory, EPFL
Period: March 15, 2006-August 21, 2006
Collaborator: Thomas Robin
External collaboration: Daniel Marbach, Postlogistics; LaTeX description

Doped derivative-free algorithms for medical image registration

Design of a new class of derivative-free algorithms exploiting some derivative information, customized for the image registration problem

Principal investigator: Michel Bierlaire
Project manager: Rodrigue Oeuvray
Sponsor: Swiss National Science Foundation
Period: April 01, 2002-March 31, 2005
External collaboration: Philippe Thévenaz, Biomedical Image Group, EPFL
External collaboration: Jean-Philippe Thiran, Signal Processing Laboratory, EPFL; LaTeX description

Organisation des tournées de bus (Planning of school bus pick-up services)

Develop a prototype of a decision-aiding system for the bus scheduling problem

Principal investigator: Michel Bierlaire
Project manager: Michel Bierlaire
Sponsor: Ecole Nouvelle de la Suisse Romande
Period: February 01, 2004-March 31, 2004
Collaborator: Michela Thiémard
External collaboration: Michel Tsukahara, ROSO, EPFL; LaTeX description

Simulation du bloc opératoire et de la salle de réveil (Simulation of the surgery block)

Design and implement a model to simulate the operations of the surgery block in the Geneva Hospital

Principal investigator: Michel Bierlaire
Project manager: Michel Bierlaire
Sponsor: Hôpitaux Universitaires de Genève
Period: April 01, 2002-March 31, 2004
External collaboration: Christophe Weibel, ROSO, EPFL
External collaboration: Dr. Garnerin, HUG; LaTeX description

New algorithms for the route guidance generation problem

Development of new algorithms to solve the route guidance generation problem, based on several formulations of the problem, combining a fixed-point approach with an optimization approach

Principal investigator: Michel Bierlaire
Project manager: Frank Crittin
Sponsor: Swiss National Science Foundation
Period: April 01, 2001-March 31, 2004
External collaboration: Prof. M. Ben-Akiva, MIT; LaTeX description

TIMS: Tourism Instant Marketing and Shopping

Develop a simulation tool to assess dynamic pricing and yield management strategies in ski resorts

Principal investigator: Michel Bierlaire
Project manager: Michel Bierlaire
Sponsor: Commission pour la technologie et de l'innovation, Office Fédéral de la formation professionnelle et de la technologie.
Period: October 01, 2003-December 31, 2003
External collaboration: Sébastien Naizot, ROSO, EPFL
External collaboration: Groupe de compétence économie et tourisme, HEVs Sierre; LaTeX description

Algorithmes d'optimisation performants pour le recalage rigide d'images en radiochirurgie et en radiothérapie stéréotaxique fractionnée assistées par ordinateur

$Algorithmes d'optimisation performants pour le recalage rigide d'images en radiochirurgie et en radiothérapie stéréotaxique fractionnée assistées par ordinateur$

Development and adaptations of efficient optimisation algorithms dedicated to brain images registration

Principal investigator: Michel Bierlaire
Project manager: Michel Bierlaire
Sponsor: Fonds UNIL-EPFL
Period: March 01, 2001-March 31, 2002
Collaborator: Rodrigue Oeuvray
External collaboration: Dr. Pica, chef de clinique, Service de Radio-Oncologie, CHUV; LaTeX description

Optimisation de grande taille sans dérivés (Large-scale derivate-free optimization)

Ecole Polytechnique Fédérale de Lausanne

Develop a new research track in large-scale derivative-free optimization

Principal investigator: Michel Bierlaire
Project manager: Michel Bierlaire
Sponsor: Ecole Polytechnique Fédérale de Lausanne
Period: January 01, 2000-January 01, 2001
Collaborator: Frank Crittin; LaTeX description

Transport and Mobility Laboratory: Research projects

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