Projects

Current Projects

The Mobility Information Engineering lab is working or part of the following projects at the moment.

COMMIT – Context-Aware Mobility Mining Tools

Location-acquisition technologies provide ample opportunities regarding the monitoring, management, and regulation of human mobility behavior, thereby avoiding some potential negative effects (e.g. traffic jams, fuel consumption). COMMIT project aims to develop serials of context-aware computational methods for evaluating, predicting and analyzing human mobility behavior based on massive trajectory data and related contextual data. It can be expected to have high societal significance and relevance for a broad range of scientific disciplines and related industrial sectors.

Internal Researchers: Prof. Dr. Martin Raubal, Dr. Pengxiang Zhao, Dominik Bucher, Martin Henry
Project Start: 01.10.2018
Funding: SDSC (Swiss Data Science Center)

Mobility Profiles and Logistics Concept for Small-scale Food Producers

Especially in rural areas of Switzerland, transport costs are a critical factor for small-scale food producers, who frequently transport relatively small amounts of goods over large distances. In collaboration with alpinavera, we will conduct a GNSS-assisted travel survey to assess the current stage of transport behaviour and needs, and build on the resulting insights to develop and test a range of alternative scenarios for their potential economic and ecological benefits.

Internal Researchers: Prof. Dr. Martin Raubal, Dominik Bucher
Project Start: 01.02.2017
Funding: alpinavera

SCCER Mobility

The Swiss Competence Center for Energy Research – Efficient Technologies and Systems for Mobility (SCCER Mobility) aims at developing the knowledge and technologies essential for the transition of the current fossil fuel based transportation system to a sustainable one, featuring minimal CO2 output and Primary Energy Demand as well as virtually zero-pollutant emissions. Read more!

Internal Researchers: Prof. Dr. Martin Raubal, Dr. Pengxiang Zhao
Project Start: 01.08.2014
Funding: CTI (Commission for Technology and Innovation)

SBB Green Class

In the context of integrated mobility offers currently gaining in importance, SBB is collaborating with BMW Switzerland to develop a combined mobility solution, and test it with 140 test customers in a one-year pilot project. We provide the lead scientific support for this new research project SBB Green Class, and will use surveys, interviews and spatio-temporal movement data analyses to examine how such a comprehensive multi-modal mobility offer influences people’s mobility behavior. Read more!

Internal Researchers: Prof. Dr. Martin Raubal, Henry Martin, Dominik Bucher
Project Start: 27.10.2016
Funding: Schweizerische Bundesbahnen (SBB)

 

Decision Support System for Personalized Ride-Sharing Services

Various studies have demonstrated that ridesharing and carpooling are beneficial to alleviate traffic congestions and to reduce CO2 emissions, fuel/energy consumption as well as travel costs. This project aims to offer personalized, short-term and automated rideshare planning based on passively tracked movement data, considering travel time uncertainty and users’ travel preferences and schedules. This project will provide tangible support for the fulfillment of the “Energy Strategy 2050” objectives via an information service for sustainable mobility choices from the perspective of sharing mobility.

Internal Researchers: Prof. Dr. Martin Raubal, Dominik Bucher, Dr. Pengxiang Zhao
Project Start: 01.05.2019
Funding: Innosuisse – Swiss Innovation Agency

 

Optimizing the potential impact of personal and autonomous electric mobility on grid stability

The high power demand of electric vehicles (EVs) during charging forces us to study Swiss mobility and energy systems as a whole and makes the consideration of the grid impact a requirement. Vehicle-to-grid (V2G) opens an avenue for the successful integration of EVs in the energy system. This project will offer support for the fulfillment of the Swiss Energy Strategy 2050 from the perspective of energy infrastructure and smart charging. The outcome of this project will provide optimal charging schedules for electric vehicles by investigating the interaction between the grid and electric vehicles.

Internal Researchers: Prof. Dr. Martin Raubal, Dr. Pengxiang Zhao, Henry Martin
Project Start: 01.05.2019
Funding: Innosuisse – Swiss Innovation Agency

Finished Projects

OMLETH I

In the OMLETH project (“ortsbezogenes mobiles Lernen an der ETH Zürich”),  a generic platform for location-based mobile learning has been developed. The prototype platform was evaluated together with students and lecturers of a selected course provided by the Chair for the History of Urban Design, belonging to the department of architecture D-ARCH over two semesters. The platform enables lecturers to easily create location-based learning modules with a web-based interface. The developed learning modules are made available to students via a mobile browser “App” which supports them during individual learning sessions and excursions. Read more!

Internal Researchers: Prof. Dr. Martin Raubal, Christian Sailer, Dr. Peter Kiefer
Project Duration: 01.08.2014–31.12.2015
Funding: Innovedum ETH Zürich

GoEco!

Current mobility patterns are dominated by car use, even though a number of alternative and energy-efficient mobility options are already available. The GoEco! app can help to make this transformation happen. We conduct a study with 200 active users from Canton Ticino and the City of Zurich. The GoEco! smartphone app helps the test persons to make their mobility lifestyle more sustainable. It tracks the trips they perform and uses game elements to challenge them to modify their mobility behavior: progressing towards their goal and competing with their friends, they learn how to become more sustainable. Read more!

Internal Researchers: Prof. Dr. Martin Raubal, Dominik Bucher, Dr. David Jonietz
Project Start: 01.01.2015
Funding: SNF – Abteilung Nationale Forschungsprogramme
Project Results: The results of the study can be accessed via the research database P3 of the Swiss National Science Foundation: http://p3.snf.ch/project-153743.

OMLETH II

Building on the findings of OMLETH I the platform will be technically adapted and augmented with spatio-temporal visualization functionality to enable the analysis of learners’ movement trajectories. The resulting system will be evaluated in the course of numerous field tests, which will involve large groups of ETH students as well as several secondary level school classes. The gained insights will be incorporated into an audio-visual knowledge platform for location-based mobile learning which is continuously updated. New applications of the system in courses hosted by D-USYS and the Material Archive of Baubibliothek will provide further insights. Potential participants (ETH intern) are kindly invited to sign up. Read more!

Internal Researchers: Prof. Dr. Martin Raubal, Christian Sailer, Dr. Peter Kiefer
Project Start: 01.01.2016
Funding: Innovedum ETH Zürich