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Urban Mobility Analytics (Dagstuhl Seminar 22162)

Authors David Jonietz, Monika Sester, Kathleen Stewart, Stephan Winter, Martin Tomko, Yanan Xin and all authors of the abstracts in this report

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DagRep.12.4.26.pdf
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Subject Classification

ACM Subject Classification
  • Applied computing → Transportation
  • Computing methodologies → Planning under uncertainty
  • Information systems → Geographic information systems
Keywords
  • data analytics
  • Deep learning
  • Reproducible research
  • urban mobility

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Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 22162 "Urban Mobility Analytics". The seminar brought together researchers from academia and industry who work in complementary ways on urban mobility analytics. The seminar especially aimed at bringing together ideas and approaches from deep learning research, which is requiring large datasets, and reproducible research, which is requiring access to data.

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David Jonietz, Monika Sester, Kathleen Stewart, Stephan Winter, Martin Tomko, and Yanan Xin. Urban Mobility Analytics (Dagstuhl Seminar 22162). In Dagstuhl Reports, Volume 12, Issue 4, pp. 26-53, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/DagRep.12.4.26

Author Details

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
Martin Tomko
  • The University of Melbourne, AU
Yanan Xin
  • ETH - Zürich, CH
and all authors of the abstracts in this report
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