https://www.dagstuhl.de/22162

April 18 – 22 , 2022, Dagstuhl Seminar 22162

Urban Mobility Analytics

Organizers

David Jonietz (HERE – Zürich, CH)
Monika Sester (Leibniz Universität Hannover, DE)
Kathleen Stewart (University of Maryland – College Park, US)
Stephan Winter (The University of Melbourne, AU)

For support, please contact

Jutka Gasiorowski for administrative matters

Michael Gerke for scientific matters

Documents

Dagstuhl Seminar Schedule (Upload here)

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Motivation

The Dagstuhl Seminar aims to bring together researchers from academia and industry who work in complementary ways on urban mobility analytics such that they do not necessarily meet at the same conferences. Especially we aim to collide ideas and approaches from deep learning research – requiring large datasets – and reproducible research – requiring access to data.

Transportation in cities is undergoing unprecedented change – such as by vehicle technology towards autonomous driving (‘disruptive mobility’); massive real-time data and data analytics (smart cities, sensing cities, dashboards); sharing platforms and integration (mobility-as-a-service) and urban logistics (changing shopping patterns). All this happens in parallel with an increasing willingness to share mobility resources or change mobility behaviour. Critical to the success of transforming urban mobility is therefore information provided to planners, operators, and travellers.

The seminar will address recent trends that are shaping the information derived from urban mobility analytics.

  • A prominent one, not only in transportation research, is the rise of deep learning methods for massive data analytics. In the domain of urban mobility this massive data emerges from a range of sensor platforms, from infrastructure (CCTV, induction loops, people counters, WiFi, smart cards, air quality) to vehicles (GPS, vision, LiDAR, radar) and smartphones (GPS, location-based apps, accelerometer, gyroscope, magnetometer), in volume, heterogeneity, velocity and veracity a prime application domain for deep learning.
  • A second trend is the emerging digital divide between academia and industry and its challenges for reproducible research, a trend that has been compared to digital feudalism. While massive data on urban mobility is collected by industry and transport authorities, their access for academic research is limited by privacy concerns and also by commercial sensitivities. While reproducible research hinges on access to data, much of the urban mobility research and development is now done behind the closed doors of large transnational companies.

Related to both trends above is the buzzword of Digital Twins. Since both data and data analytics becomes more often available sufficiently close to real-time, the information derived is less and less consumed in human decision making but in the self-regulation of cyber-physical-social systems. These systems will propel future urban mobility by autonomously driving vehicles and mobility-as-a-service, however, their development and use involves many still-open research questions, such as reliability, trust and HCI.

In this context the seminar makes a deliberate effort to invite people from both sides of the digital divide (i.e., from academia and industry) to share their experiences, their approaches, and their challenges, and to explore more future collaboration.

We aim for a joint vision paper of the participants as much as new international collaborative research initiatives. The dynamics at the seminar will be fostered by a large traffic dataset sponsored by IARAI (derived from https://www.iarai.ac.at/traffic4cast/). This dataset will be available for the working groups to explore and test their ideas.

Motivation text license
  Creative Commons BY 4.0
  David Jonietz, Monika Sester, Kathleen Stewart, and Stephan Winter

Dagstuhl Seminar Series

Classification

  • Artificial Intelligence
  • Machine Learning
  • Multiagent Systems

Keywords

  • Machine learning
  • Deep learning
  • Massive data analytics
  • Travel prediction

Documentation

In the series Dagstuhl Reports each Dagstuhl Seminar and Dagstuhl Perspectives Workshop is documented. The seminar organizers, in cooperation with the collector, prepare a report that includes contributions from the participants' talks together with a summary of the seminar.

 

Download overview leaflet (PDF).

Publications

Furthermore, a comprehensive peer-reviewed collection of research papers can be published in the series Dagstuhl Follow-Ups.

Dagstuhl's Impact

Please inform us when a publication was published as a result from your seminar. These publications are listed in the category Dagstuhl's Impact and are presented on a special shelf on the ground floor of the library.