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https://ceur-ws.org/Vol-652/MPA10-01.pdf
MPA'10 in Zurich 1 September 14th, 2010
MPA’10
1st Workshop on Movement
Pattern Analysis
September 2010
MPA'10 in Zurich 2 September 14th, 2010
Preface
Recent developments in movement pattern analysis reflect the broad interest in this
field. Just as broad seems to be the methodological spectrum scientists develop to inves-
tigate movement patterns. Although the plethora of application fields, in fact, calls for a
wide spectrum of methodologies, it is difficult to find a common strategy in the commu-
nity that would help in sharing results, exchanging methods as well as heading towards
what would be an established theory on movement pattern analysis. It is the goal of this
workshop to contribute to such a common view on methods of movement pattern analy-
sis. For this purpose, concrete datasets will be moved into the centre of this workshop.
The idea is to arrive at an answer to the question of what makes a useful benchmark
dataset for movement pattern analysis. Such benchmark datasets could significantly help
in the long-term goal to work on a common theory of movement pattern analysis, since
benchmark datasets provide means to compare different methods. Generally, movement
pattern analysis endeavors to explicitly capture the space-time structure in data in order
to meaningfully analyse moving objects.
Repositories of reference movement datasets are rare, partly due to privacy, secu-
rity or copyright restrictions. Also, for datasets that are available in the public domain
metadata is often scarce, as semantically annotating movement data is expensive and
hence mostly copyrighted. It is assumed, however, that the spatial information science
community, with a lot of data acquisition techniques available today, is in the position to
have among its members significant amounts of movement data that could be potentially
developed into reference datasets. It is, however, not entirely clear what defines a useful
benchmark dataset, for evaluating and comparing methodologies.
These proceedings show the accepted workshop papers which have been presented
and discussed in Zurich. In total 8 out of 20 papers have been selected by the Commit-
tee. The different contributions cover several kinds of movement of trackable entities in
unconstrained and network spaces, including
• Traffic and transportation, e.g. car tracking data, fleet management data,
• People, e.g. pedestrians, shoppers, crowds,
• Mobile phone applications,
• Animal movement.
September 2010
Björn Gottfried,
Patrick Laube,
Alexander Klippel,
Nico Van de Weghe,
Roland Billen
MPA'10 in Zurich 3 September 14th, 2010
Programme Committee
• Gennady Andrienko
• Eliseo Clementini
• Eduardo Dias
• Matt Duckham
• Andrew Frank
• Joachim Gudmundsson
• Leonidas Guibas
• Kai Nagel
• Donna Peuquet
• Sabine Timpf
• Erik Willems
• Stephan Winter
MPA'10 in Zurich 4 September 14th, 2010
Invited Speakers
• Christophe Claramunt, Naval Academy Research Institute, Brest, France
• Harvey Miller, University of Utah, Salt Lake City, USA
• Kathleen Stewart, The University of Iowa, Iowa City, USA
Papers
• Identifying Unusual Pedestrian Movement Behaviour in Public Transport
Infrastructures
A. Millonig, G. Maierbrugger
• Potential and Implications of Bluetooth Proximity-Based Tracking in Moving
Object Research
M. Versichele, M. Delafontaine, T. Neutens, N. Van de Weghe
• Identifying Characteristics of Collective Motion from GPS Running Data
Z. Wood, A. Galton
• Spatio-temporal knowledge discovery from georeferenced mobile phone data
Y. Yuan, M. Raubal
• Network Structure Discovery for Vehicular Ad-Hoc Networks
I. Downes, L.Guibas
• From Trajectories of Moving Objects to Route-based Traffic Prediction and
Management
G. Gidófalvi, E. Saqib
• An Approach to Semantic Processing of GPS Traces
K. Rehrl, S. Leitinger, S. Krampe, R. Stumptner
• Modeling the relationships between patterns of movement of Panthera tigris and
its behavioral states
S.C. Ahearn, J.L.D. Smith, A. Simchareon, S. Simchareon, J. Garcia