Transport and Mobility Laboratory: Research projects

TRANSP-OR

All topics

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.

Capacity building program in urban mobility and transportationTop

Capacity building program in urban mobility and transportationState Secretariat for Economic Affairs

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
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 optimizationTop

Incorporating advanced behavioral models in mixed integer linear optimizationSwiss National Science Foundation

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 dynamicsTop

TRANS-FORM: Smart transfers through unravelling urban form and travel flow dynamicsThe 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
Sponsor
The Federal Department of the Environment, Transport, Energy and Communications (DETEC)
Period
March 03, 2016-March 03, 2019
Collaborator
Nicholas Molyneaux
LaTeX description

Drive For You: a driving assistant tool to detecting pedestriansTop

Drive For You: a driving assistant tool to detecting pedestriansMINES ParisTech

This project aims to develop an onboard pedestrian tracking system to assist the driver detect them and, ultimately, to increase security. The project, with a duration of four years, will focus on pedestrians detection, tracking and trajectory prediction, and will be will be closely related to vehicle command strategies. The project is part of the automated driving research Chair "Drive for you" led by MINES ParisTech in partnership with French industrialists and three prestigious academic institutions the Ecole Polytechnique Fédérale de Lausanne EPFL (Switzerland), the University of Shanghai Jiao Tong (China) and the University of Berkeley (USA). Supported by the Foundation MINES ParisTech, with Valeo industrial, PSA Peugeot Citroën and Safran contributing 3.7 million euros in funds, the Chair will work for five years on the subject of automated driving. The three main objectives are expand knowledge of self-driving vehicles, develop intelligent onboard systems, get self-driving vehicles on the road in Asia, Europe and the United States.

Principal investigator
Michel Bierlaire
Project manager
Riccardo Scarinci
Sponsor
MINES ParisTech
Period
December 01, 2014-November 30, 2018
External collaboration
Damien Matti (EPFL Signal Processing Laboratory 5 LTS5)
LaTeX description

Leveraging Public and Open Data for Transportation Mode detectionTop

Leveraging Public and Open Data for Transportation Mode detectionSwisscom

Modern smartphones are more than just calling devices. They harbor a wealth of information that provides the transportation field with a new potential. In this project, researchers will create a transportation mode detection model based on telecommunication data from smartphone users combined with public transport-related data sources. The researchers are provided with anonymized telecommunication traces. As those data remain scarce, additional data will be identified from external sources including network infrastructure, route maps, time schedules in static or real-time form, microcensus, weather, etc. A probabilistic model will be developed to infer the transportation modes from those various data sources. The project lasts one year, and will be carried out by the Transport and Mobility Laboratory, directed by Prof. Michel Bierlaire. It is sponsored by Swisscom.

Principal investigator
Michel Bierlaire
Project managers
Marija Nikolic, Riccardo Scarinci
Sponsor
Swisscom
Period
September 04, 2017-September 04, 2018
External collaboration
Swisscom
LaTeX description

Network Design for SBB CargoTop

Network Design for SBB CargoSwiss Federal Railways (SBB)

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 Top

Cost reduction using passenger centric timetabling Swiss Federal Railways (SBB)

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

Expertise

  • Transportation Research
  • Operations Research
  • Discrete Choice Models

Methods

Modeling, optimization, simulation