Transport and Mobility Laboratory: Research projects

TRANSP-OR

Transportation

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

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

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

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

Electric vehicle adoption dynamics: exploring market potentialsTop

Electric vehicle adoption dynamics: exploring market potentialsNissan

This project proposes innovative methods to identify the determinants of acceptance of alternative vehicles and their impact on everyday mobility.

The greatest challenge faced by the promoters of the transition towards this low carbon engine technology lies in understanding how consumers accept the financial and lifestyle investments associated with the leap from traditional to electric powertrains. This project proposes innovative methods to identify the determinants of acceptance of alternative vehicles and their impact on everyday mobility. A deeper understanding of adoption dynamics is critical to predict who will opt for EVs when and under which conditions.

This project will focus on innovative data-collection and modelling methodologies to uncover the acceptance of EVs at different stages of market-penetration (considering inexperienced/experienced users, early pioneers/late-adopters). A thorough analysis of the consumer decision-making process will lead to uncovering the barriers and success factors related to EV uptake and to forecast buying and usage behaviours related to new vehicle classes.

Principal investigator
Michel Bierlaire
Project manager
Matthieu de Lapparent
Sponsor
Nissan
Period
April 01, 2014-March 31, 2017
Collaborator
Anna Fernandez Antolin
External collaboration
Dr. Amanda Stathopoulos, Northwestern University
LaTeX description

Expertise

  • Transportation Research
  • Operations Research
  • Discrete Choice Models

Methods

Modeling, optimization, simulation