Publications

2017

  • [DOI] N. Shaik, T. Liebig, C. Kirsch, and H. Müller, “Dynamic Map Update of Non-static Facility Logistics Environment with a Multi-robot System,” in KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, Proceedings, G. Kern-Isberner, J. Fürnkranz, and M. Thimm, Eds., Cham: Springer International Publishing, 2017, pp. 249-261.
    [Bibtex] [[PDF] Draft]
    @Inbook{shaik17,
    author="Shaik, Nayabrasul and Liebig, Thomas and Kirsch, Christopher and M{\"u}ller, Heinrich",
    editor="Kern-Isberner, Gabriele and F{\"u}rnkranz, Johannes and Thimm, Matthias",
    title="Dynamic Map Update of Non-static Facility Logistics Environment with a Multi-robot System",
    bookTitle="KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25--29, 2017, Proceedings",
    year="2017",
    publisher="Springer International Publishing",
    address="Cham",
    pages="249--261",
    abstract="Autonomous robots need to perceive and represent their environments and act accordingly. Using simultaneous localization and mapping (SLAM) methods, robots can build maps of the environment which are efficient for localization and path planning as long as the environment remains unchanged. However, facility logistics environments are not static because pallets and other obstacles are stored temporarily.",
    isbn="978-3-319-67190-1",
    doi="10.1007/978-3-319-67190-1_19",
    url="https://doi.org/10.1007/978-3-319-67190-1_19"
    }
  • [DOI] L. Heppe and T. Liebig, “Real-Time Public Transport Delay Prediction for Situation-Aware Routing,” in KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, Proceedings, G. Kern-Isberner, J. Fürnkranz, and M. Thimm, Eds., Cham: Springer International Publishing, 2017, pp. 128-141.
    [Bibtex] [[PDF] Draft]
    @Inbook{heppe17,
    author="Heppe, Lukas and Liebig, Thomas",
    editor="Kern-Isberner, Gabriele
    and F{\"u}rnkranz, Johannes
    and Thimm, Matthias",
    title="Real-Time Public Transport Delay Prediction for Situation-Aware Routing",
    bookTitle="KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25--29, 2017, Proceedings",
    year="2017",
    publisher="Springer International Publishing",
    address="Cham",
    pages="128--141",
    abstract="Situation-aware route planning gathers increasing interest. The proliferation of various sensor technologies in smart cities allows the incorporation of real-time data and its predictions in the trip planning process. We present a system for individual multi-modal trip planning that incorporates predictions of future public transport delays in routing. Future delay times are computed by a Spatio-Temporal-Random-Field based on a stream of current vehicle positions. The conditioning of spatial regression on intermediate predictions of a discrete probabilistic graphical model allows to incorporate historical data, streamed online data and a rich dependency structure at the same time. We demonstrate the system with a real-world use-case at Warsaw city, Poland.",
    isbn="978-3-319-67190-1",
    doi="10.1007/978-3-319-67190-1_10",
    url="https://doi.org/10.1007/978-3-319-67190-1_10"
    }
  • [DOI] T. Liebig, S. Peter, M. Grzenda, and K. Junosza-Szaniawski, “Dynamic Transfer Patterns for Fast Multi-modal Route Planning,” in Societal Geo-innovation: Selected papers of the 20th AGILE conference on Geographic Information Science, A. Bregt, T. Sarjakoski, R. van Lammeren, and F. Rip, Eds., Cham: Springer International Publishing, 2017, pp. 223-236.
    [Bibtex] [[PDF] Draft]
    @inbook{liebig17,
    author={Liebig, Thomas and Peter, Sebastian and Grzenda, Maciej and Junosza-Szaniawski, Konstanty},
    editor={Bregt, Arnold and Sarjakoski, Tapani and van Lammeren, Ron and Rip, Frans},
    title={Dynamic Transfer Patterns for Fast Multi-modal Route Planning},
    bookTitle={Societal Geo-innovation: Selected papers of the 20th AGILE conference on Geographic Information Science},
    year={2017},
    publisher={Springer International Publishing},
    address={Cham},
    pages={223--236},
    URL={http://dx.doi.org/10.1007/978-3-319-56759-4_13},
    doi={10.1007/978-3-319-56759-4_13},
    isbn={978-3-319-56759-4},
    }
  • [DOI] T. Liebig and M. Sotzny, “On Avoiding Traffic Jams with Dynamic Self-Organizing Trip Planning,” in 13th International Conference on Spatial Information Theory (COSIT 2017), E. Clementini, M. Donnelly, M. Yuan, C. Kray, P. Fogliaroni, and A. Ballatore, Eds., Dagstuhl, Germany: Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, 2017, vol. 86, p. 17:1–17:12.
    [Bibtex] [[PDF] Draft]
    @incollection{liebig17b,
    author ={Thomas Liebig and Maurice Sotzny},
    title ={{On Avoiding Traffic Jams with Dynamic Self-Organizing Trip Planning}},
    booktitle ={13th International Conference on Spatial Information Theory (COSIT 2017)},
    pages ={17:1--17:12},
    series ={Leibniz International Proceedings in Informatics (LIPIcs)},
    ISBN ={978-3-95977-043-9},
    ISSN ={1868-8969},
    year ={2017},
    volume ={86},
    editor ={Eliseo Clementini and Maureen Donnelly and May Yuan and Christian Kray and Paolo Fogliaroni and Andrea Ballatore},
    publisher ={Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
    address ={Dagstuhl, Germany},
    URL ={http://drops.dagstuhl.de/opus/volltexte/2017/7761},
    URN ={urn:nbn:de:0030-drops-77615},
    doi ={10.4230/LIPIcs.COSIT.2017.17},
    notes ={Best Paper},
    annote ={Keywords: situation-aware trip planning, self-organizing traffic, reinforcement learning}
    }
  • T. Liebig, “Report on Data Privacy,” VAVEL Consortium, Dortmund, Germany, H2020-688380 D4.1, , 2017.
    [Bibtex] [[PDF] Draft]
    @TechReport{vaveld41,
    author = {Liebig, Thomas},
    title = {Report on Data Privacy},
    institution = {VAVEL Consortium},
    year = {2017},
    month = {May},
    address = {Dortmund, Germany},
    number = {H2020-688380 D4.1}
    }
  • T. Liebig, N. Piatkowski, C. Bockermann, and K. Morik, “Dynamic Route Planning with Real-Time Traffic Predictions,” Information Systems, vol. 64, pp. 258-265, 2017.
    [Bibtex] [[PDF] Draft]
    @article{liebig16,
    title={Dynamic Route Planning with Real-Time Traffic Predictions},
    author={Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik},
    journal={Information Systems},
    volume={64},
    pages={258--265},
    year={2017},
    publisher={Elsevier}
    issn = {0306-4379},
    URL = {http://www.sciencedirect.com/science/article/pii/S0306437916000181}
    }
  • T. Liebig, “Smart navigation – chances, risk and challenges,” in Navigation and Earth Observation – Law & Technology, M. Jankowska, M. Pawelczyk, S. Augustyn, and M. Kulawiak, Eds., Warsaw: IUS PUBLICUM, 2017, p. (accepted).
    [Bibtex]
    @incollection{liebig17a,
    title={Smart navigation - chances, risk and challenges},
    author={Liebig, Thomas},
    booktitle={Navigation and Earth Observation - Law \& Technology},
    pages={(accepted)},
    year={2017},
    publisher={IUS PUBLICUM},
    address={Warsaw},
    editor={M. Jankowska and M. Pawelczyk and S. Augustyn and M. Kulawiak}
    }

2016

  • G. Souto and T. Liebig, “On Event Detection from Spatial Time series for Urban Traffic Applications,” in Solving Large Scale Learning Tasks: Challenges and Algorithms, S. Michaelis, N. Piatkowski, and M. Stolpe, Eds., Springer International Publishing, 2016, vol. 9580, pp. 221-233.
    [Bibtex] [[PDF] Draft]
    @incollection{souto15,
    Author = {Gustavo Souto and Thomas Liebig},
    Booktitle = {Solving Large Scale Learning Tasks: Challenges and Algorithms},
    Ee = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2008.4497566},
    Pages = {221--233},
    Title = {On Event Detection from Spatial Time series for Urban Traffic
    Applications},
    Year = {2016},
    volume = {9580},
    editor = {Stefan Michaelis and Nico Piatkowski and Marco Stolpe},
    publisher={Springer International Publishing},
    }
  • [DOI] N. Panagiotou, N. Zygouras, I. Katakis, D. Gunopulos, N. Zacheilas, I. Boutsis, V. Kalogeraki, S. Lynch, B. O’Brien, D. Kinane, J. Mareček, J. Y. Yu, R. Verago, E. Daly, N. Piatkowski, T. Liebig, C. Bockermann, K. Morik, F. Schnitzler, M. Weidlich, A. Gal, S. Mannor, H. Stange, W. Halft, and G. Andrienko, “INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data,” in Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III, B. Berendt, B. Bringmann, É. Fromont, G. Garriga, P. Miettinen, N. Tatti, and V. Tresp, Eds., Cham: Springer International Publishing, 2016, pp. 22-26.
    [Bibtex]
    @inbook{Panagiotou2016,
    author="Panagiotou, Nikolaos and Zygouras, Nikolas and Katakis, Ioannis and Gunopulos, Dimitrios and Zacheilas, Nikos and Boutsis, Ioannis and Kalogeraki, Vana and Lynch, Stephen and O'Brien, Brendan and Kinane, Dermot and Mare{\v{c}}ek, Jakub and Yu, Jia Yuan and Verago, Rudi and Daly, Elizabeth and Piatkowski, Nico and Liebig, Thomas and Bockermann, Christian and Morik, Katharina and Schnitzler, Francois and Weidlich, Matthias and Gal, Avigdor and Mannor, Shie and Stange, Hendrik and Halft, Werner and Andrienko, Gennady",
    editor="Berendt, Bettina and Bringmann, Bj{\"o}rn and Fromont, {\'E}lisa and Garriga, Gemma and Miettinen, Pauli and Tatti, Nikolaj and Tresp, Volker",
    title="INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data",
    bookTitle="Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III",
    year="2016",
    publisher="Springer International Publishing",
    address="Cham",
    pages="22--26",
    isbn="978-3-319-46131-1",
    doi="10.1007/978-3-319-46131-1_5",
    url="http://dx.doi.org/10.1007/978-3-319-46131-1_5"
    }

2015

  • T. Liebig and K. Morik, “Report on the integration and the evaluation of the alarming, visualization and prediction component,” INSIGHT Consortium, Dortmund, Germany, FP7-318225 D5.2, , 2015.
    [Bibtex] [[PDF] Draft]
    @TechReport{d52,
    author = {Liebig, Thomas and Morik, Katharina},
    title = {Report on the integration and the evaluation of the alarming, visualization and prediction component},
    institution = {INSIGHT Consortium},
    year = {2015},
    month = {August},
    address = {Dortmund, Germany},
    number = {FP7-318225 D5.2}
    }
  • G. Souto and T. Liebig, “Analyzing the Correlation Among Traffic Loop Sensors to Detect Anomalies in Traffic Loop Data Streams,” in Proceedings of the 3rd Symposium on Knowledge Discovery and Machine Learning, A. Plastino, S. D. Amo, and L. B. Marinho, Eds., BRACIS, 2015, pp. 82-90.
    [Bibtex] [[PDF] Draft]
    @incollection{souto15a,
    Author = {Gustavo Souto and Thomas Liebig},
    Booktitle = {Proceedings of the 3rd Symposium on Knowledge Discovery and Machine Learning},
    Pages = {82--90},
    Title = {Analyzing the Correlation Among Traffic Loop Sensors to Detect Anomalies in Traffic Loop Data Streams},
    editor = {Alexandre Plastino and Sandra De Amo and Leandro Balbo Marinho},
    Year = {2015},
    publisher={BRACIS},
    issn = {2318-1060}
    }
  • I. Katakis, F. Schnitzler, and T. Liebig, “2nd International Workshop on Mining Urban Data (Preface),” in Proceedings of the 2nd International Workshop on Mining Urban Data (MUD2), CEUR-WS, 2015, vol. 1392, pp. 7-9.
    [Bibtex]
    @incollection{DBLP:conf/icml/KatakisSL15,
    author = {Ioannis Katakis and Fran{\c{c}}ois Schnitzler and Thomas Liebig},
    title = {2nd International Workshop on Mining Urban Data (Preface)},
    volume = {1392},
    booktitle = {Proceedings of the 2nd International Workshop on Mining Urban Data (MUD2)},
    pages = {7--9},
    year = {2015},
    url = {http://ceur-ws.org/Vol-1392/paper-01.pdf},
    publisher ={CEUR-WS},
    series = {CEUR Workshop Proceedings},
    issn = {1613-0073},
    }
  • [DOI] T. Liebig, “Privacy Preserving Centralized Counting of Moving Objects,” in AGILE 2015, F. Bacao, M. Y. Santos, and M. Painho, Eds., Springer International Publishing, 2015, pp. 91-103.
    [Bibtex] [[PDF] Draft]
    @incollection{liebig15,
    year={2015},
    isbn={978-3-319-16786-2},
    booktitle={AGILE 2015},
    series={Lecture Notes in Geoinformation and Cartography},
    editor={Bacao, Fernando and Santos, Maribel Yasmina and Painho, Marco},
    title={Privacy Preserving Centralized Counting of Moving Objects},
    URL={http://dx.doi.org/10.1007/978-3-319-16787-9_6},
    doi={10.1007/978-3-319-16787-9_6},
    publisher={Springer International Publishing},
    author={Liebig, Thomas},
    pages={91-103},
    }
  • T. Liebig, “AI-based analysis methods in spatio-temporal data mining,” in AI: Philosophy, Geoinformatics & Law, M. Jankowska, M. Pawelczyk, and M. Kulawiak, Eds., Warsaw: IUS PUBLICUM, 2015, pp. 135-152.
    [Bibtex] [[PDF] Draft]
    @incollection{liebig16a,
    title={AI-based analysis methods in spatio-temporal data mining},
    author={Liebig, Thomas},
    booktitle={AI: Philosophy, Geoinformatics \& Law},
    pages={135--152},
    year={2015},
    publisher={IUS PUBLICUM},
    address={Warsaw},
    editor={Marlena Jankowska and Miroslaw Pawelczyk and Marcin Kulawiak}
    }
  • M. Stolpe, T. Liebig, and K. Morik, “Communication-efficient learning of traffic flow in a network of wireless presence sensors,” in Proceedings of the Workshop on Parallel and Distributed Computing for Knowledge Discovery in Data Bases (PDCKDD 2015), CEUR-WS, 2015, p. (to appear).
    [Bibtex] [[PDF] Draft]
    @incollection{stolpe15,
    title = {Communication-efficient learning of traffic flow in a network of wireless presence sensors},
    author = {Marco Stolpe and Thomas Liebig and Katharina Morik},
    pages = {(to appear)},
    booktitle = {Proceedings of the Workshop on Parallel and Distributed Computing for Knowledge Discovery in Data Bases (PDCKDD 2015)},
    year = {2015},
    publisher ={CEUR-WS},
    series = {CEUR Workshop Proceedings},
    issn = {1613-0073},
    }
  • T. Liebig, M. Stolpe, and K. Morik, “Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI,” in Proceedings of the 2nd International Workshop on Mining Urban Data (MUD2), G. Andrienko, D. Gunopulos, I. Katakis, T. Liebig, S. Mannor, K. Morik, and F. Schnitzler, Eds., CEUR-WS, 2015, vol. 1392, pp. 36-43.
    [Bibtex] [[PDF] Draft]
    @incollection{liebig15b,
    title = {Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI},
    URL = {http://ceur-ws.org/Vol-1392/#paper-05},
    author = {Thomas Liebig and Marco Stolpe and Katharina Morik},
    pages = {36--43},
    volume = {1392},
    booktitle = {Proceedings of the 2nd International Workshop on Mining Urban Data (MUD2)},
    year = {2015},
    editor = {Gennady Andrienko and Dimitrios Gunopulos and Ioannis Katakis and Thomas Liebig and Shie Mannor and Katharina Morik and Francois Schnitzler},
    publisher ={CEUR-WS},
    series = {CEUR Workshop Proceedings},
    issn = {1613-0073},
    }
  • T. Liebig, S. Storandt, P. Sanders, W. Othman, and S. Funke, “Report from Dagstuhl: SocioPaths – Multimodal Door-to-Door Route Planning via Social Paths,” in Proceedings of the 2nd International Workshop on Mining Urban Data (MUD2), G. Andrienko, D. Gunopulos, I. Katakis, T. Liebig, S. Mannor, K. Morik, and F. Schnitzler, Eds., CEUR-WS, 2015, vol. 1392, pp. 90-94.
    [Bibtex] [[PDF] Draft]
    @incollection{liebig15c,
    title = {Report from Dagstuhl: SocioPaths - Multimodal Door-to-Door Route Planning via Social Paths},
    URL = {http://ceur-ws.org/Vol-1392/#paper-14},
    author = {Thomas Liebig and Sabine Storandt and Peter Sanders and Walied Othman and Stefan Funke},
    pages = {90--94},
    volume = {1392},
    booktitle = {Proceedings of the 2nd International Workshop on Mining Urban Data (MUD2)},
    year = {2015},
    editor = {Gennady Andrienko and Dimitrios Gunopulos and Ioannis Katakis and Thomas Liebig and Shie Mannor and Katharina Morik and Francois Schnitzler},
    publisher ={CEUR-WS},
    series = {CEUR Workshop Proceedings},
    issn = {1613-0073},
    }

2014

  • T. Liebig, N. Piatkowski, C. Bockermann, and K. Morik, “Predictive Trip Planning – Smart Routing in Smart Cities,” in Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), Athens, Greece, March 28, 2014, 2014, pp. 331-338.
    [Bibtex] [[PDF] Draft]
    @inproceedings{liebig14,
    author = {Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik},
    title = {Predictive Trip Planning - Smart Routing in Smart Cities},
    booktitle = {Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), Athens, Greece, March 28, 2014},
    year = {2014},
    publisher = {CEUR-WS.org},
    volume = {1133},
    pages = {331--338}
    }
  • D. Kinane, F. Schnitzler, S. Mannor, T. Liebig, K. Morik, J. Marecek, B. Gorman, N. Zygouras, Y. Katakis, V. Kalogeraki, and D. Gunopulos, “Intelligent Synthesis and Real-time Response using Massive Streaming of Heterogeneous Data (INSIGHT) and its anticipated effect on Intelligent Transport Systems (ITS) in Dublin City, Ireland,” in Proceedings of the 10th ITS European Congress, Helsinki, 2014, p. (to appear).
    [Bibtex] [[PDF] Draft]
    @inproceedings{kinane14,
    author = {Dermot Kinane and Fran\c{c}ois Schnitzler and Shie Mannor and Thomas Liebig and Katharina Morik and Jakub Marecek and Bernard Gorman and Nikolaos Zygouras and Yannis Katakis and Vana Kalogeraki and Dimitrios Gunopulos},
    title = {Intelligent Synthesis and Real-time Response using Massive Streaming of Heterogeneous Data (INSIGHT) and its anticipated effect on Intelligent Transport Systems (ITS) in Dublin City, Ireland},
    booktitle = {Proceedings of the 10th ITS European Congress, Helsinki},
    year = {2014},
    pages = {(to appear)}
    }
  • T. Liebig, “Stream Processing and Crowdsourcing for Urban Traffic Management,” in Dagstuhl Seminar 13512: Social Issues in Computational Transportation Science, 2014, pp. 104-105.
    [Bibtex] [[PDF] Draft]
    @inproceedings{liebig14b,
    author={Liebig, Thomas},
    title={Stream Processing and Crowdsourcing for Urban Traffic Management},
    booktitle={Dagstuhl Seminar 13512: Social Issues in Computational Transportation Science},
    pages={104--105},
    year={2014}
    }
  • S. Ilarri, T. Liebig, S. Liang, and G. Geers, “Stream Processing in the Context of CTS – course (90min) as part of a lecture on CTS,” in Dagstuhl Seminar 13512: Social Issues in Computational Transportation Science, 2014, pp. 112-115.
    [Bibtex] [[PDF] Draft]
    @inproceedings{liebig14c,
    author={Ilarri, Sergio and Liebig, Thomas and Liang, Steve and Geers, Glenn},
    title={Stream Processing in the Context of CTS - course (90min) as part of a lecture on CTS},
    booktitle={Dagstuhl Seminar 13512: Social Issues in Computational Transportation Science},
    pages={112--115},
    year={2014}
    }
  • T. Liebig, “Privacy Preserving Aggregation of Distributed Mobility Data Streams,” in Proceedings of the 11th Symposium on Location-Based Services, 2014, pp. 86-99.
    [Bibtex] [[PDF] Draft]
    @inproceedings{liebig14d,
    author={Liebig, Thomas},
    title={Privacy Preserving Aggregation of Distributed Mobility Data Streams},
    booktitle={Proceedings of the 11th Symposium on Location-Based Services},
    pages={86--99},
    year={2014}
    }
  • T. Liebig, “Speed-Up heuristics for the traffic flow estimation with Gaussian Process Regression,” in Proceedings of the 11th Symposium on Location-Based Services, 2014, pp. 136-138.
    [Bibtex] [[PDF] Draft]
    @inproceedings{liebig14e,
    author={Liebig, Thomas},
    title={Speed-Up heuristics for the traffic flow estimation with Gaussian Process Regression},
    booktitle={Proceedings of the 11th Symposium on Location-Based Services},
    pages={136--138},
    year={2014}
    }
  • T. Liebig, N. Piatkowski, C. Bockermann, and K. Morik, “Route Planning with Real-Time Traffic Predictions,” in Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, 2014, pp. 83-94.
    [Bibtex] [[PDF] Draft]
    @inproceedings{liebig14f,
    author = {Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik},
    title = {Route Planning with Real-Time Traffic Predictions},
    year = {2014},
    booktitle = {Proceedings of the 16th LWA Workshops: KDML, IR and FGWM},
    pages = {83--94}
    }
  • F. Schnitzler, T. Liebig, S. Mannor, G. Souto, S. Bothe, and H. Stange, “Heterogeneous Stream Processing for Disaster Detection and Alarming,” in IEEE International Conference on Big Data, 2014, pp. 914-923.
    [Bibtex] [[PDF] Draft]
    @inproceedings{schnitzler14b,
    title={Heterogeneous Stream Processing for Disaster Detection and Alarming},
    author={Fran\c{c}ois Schnitzler and Thomas Liebig and Shie Mannor and Gustavo Souto and Sebastian Bothe and Hendrik Stange},
    booktitle={IEEE International Conference on Big Data},
    pages={914--923},
    year={2014},
    publisher={IEEE Press}
    }
  • F. Schnitzler, A. Artikis, M. Weidlich, I. Boutsis, T. Liebig, N. Piatkowski, C. Bockermann, K. Morik, V. Kalogeraki, J. Marecek, A. Gal, S. Mannor, D. Kinane, and D. Gunopulos, “Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights,” in Machine Learning and Knowledge Discovery in Databases, Springer Berlin Heidelberg, 2014, vol. 8726, pp. 520-523.
    [Bibtex]
    @incollection{schnitzler14a,
    year={2014},
    booktitle={Machine Learning and Knowledge Discovery in Databases},
    volume={8726},
    series={Lecture Notes in Computer Science},
    title={Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights},
    publisher={Springer Berlin Heidelberg},
    author={Schnitzler, Fran\c{c}ois and Artikis, Alexander and Weidlich, Matthias and Boutsis, Ioannis and Liebig, Thomas and Piatkowski, Nico and Bockermann, Christian and Morik, Katharina and Kalogeraki, Vana and Marecek, Jakub and Gal, Avigdor and Mannor, Shie and Kinane, Dermot and Gunopulos, Dimitrios},
    pages={520--523},
    URL={http://dx.doi.org/10.1007/978-3-662-44845-8_49}
    }
  • F. Schnitzler, T. Liebig, S. Mannor, and K. Morik, “Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center,” in Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), Athens, Greece, March 28, 2014, 2014, pp. 373-374.
    [Bibtex] [[PDF] Draft]
    @inproceedings{schnitzler14,
    author = {Fran\c{c}ois Schnitzler and Thomas Liebig and Shie Mannor and Katharina Morik},
    title = {Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center},
    booktitle = {Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), Athens, Greece, March 28, 2014},
    year = {2014},
    publisher = {CEUR-WS.org},
    volume = {1133},
    pages = {373--374},
    }
  • A. Artikis, M. Weidlich, F. Schnitzler, I. Boutsis, T. Liebig, N. Piatkowski, C. Bockermann, K. Morik, V. Kalogeraki, J. Marecek, A. Gal, S. Mannor, D. Gunopulos, and D. Kinane, “Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management,” in Proc. 17th International Conference on Extending Database Technology (EDBT), Athens, Greece, March 24-28, 2014, 2014, pp. 712-723.
    [Bibtex] [[PDF] Draft]
    @inproceedings{artikis2014,
    author = {Alexander Artikis and Matthias Weidlich and Fran\c{c}ois Schnitzler and Ioannis Boutsis and Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik and Vana Kalogeraki and Jakub Marecek and Avigdor Gal and Shie Mannor and Dimitrios Gunopulos and Dermot Kinane},
    title = {Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management},
    booktitle = {Proc. 17th International Conference on Extending Database Technology (EDBT), Athens, Greece, March 24-28, 2014},
    year = {2014},
    pages = {712--723},
    publisher = {OpenProceedings.org},
    }
  • [DOI] T. Liebig, G. Andrienko, and N. Andrienko, “Methods for Analysis of Spatio-Temporal Bluetooth Tracking Data,” Journal of Urban Technology, vol. 21, iss. 2, pp. 27-37, 2014.
    [Bibtex] [[PDF] Draft]
    @article{liebig14a,
    author = {Liebig, Thomas and Andrienko, Gennady and Andrienko, Natalia},
    title = {Methods for Analysis of Spatio-Temporal Bluetooth Tracking Data},
    journal = {Journal of Urban Technology},
    volume = {21},
    number = {2},
    pages = {27--37},
    year = {2014},
    doi = {10.1080/10630732.2014.888215},
    URL = {http://dx.doi.org/10.1080/10630732.2014.888215}
    }

2013

  • T. Liebig and K. Morik, “Report on end-user requirements, test data, and on prototype definitions,” INSIGHT Consortium, Dortmund, Germany, FP7-318225 D5.1, , 2013.
    [Bibtex] [[PDF] Draft]
    @TechReport{d51,
    author = {Liebig, Thomas and Morik, Katharina},
    title = {Report on end-user requirements, test data, and on prototype definitions},
    institution = {INSIGHT Consortium},
    year = {2013},
    month = {August},
    address = {Dortmund, Germany},
    number = {FP7-318225 D5.1}
    }
  • T. Liebig, Z. Xu, and M. May, “Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement,” in Citizen in Sensor Networks, Springer Berlin Heidelberg, 2013, pp. 67-80.
    [Bibtex] [[PDF] Draft]
    @incollection{liebig13,
    title={Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement},
    author={Liebig, Thomas and Xu, Zhao and May, Michael},
    booktitle={Citizen in Sensor Networks},
    pages={67--80},
    year={2013},
    publisher={Springer Berlin Heidelberg}
    }
  • R. Rösler and T. Liebig, “Using Data from Location Based Social Networks for Urban Activity Clustering,” in Geographic Information Science at the Heart of Europe, Springer International Publishing, 2013, pp. 55-72.
    [Bibtex] [[PDF] Draft]
    @incollection{rosler13,
    title={Using Data from Location Based Social Networks for Urban Activity Clustering},
    author={R{\"o}sler, Roberto and Liebig, Thomas},
    booktitle={Geographic Information Science at the Heart of Europe},
    pages={55--72},
    year={2013},
    publisher={Springer International Publishing}
    }
  • G. Andrienko, A. Gkoulalas-Divanis, M. Gruteser, C. Kopp, T. Liebig, and K. Rechert, “Report from Dagstuhl: the liberation of mobile location data and its implications for privacy research,” ACM SIGMOBILE Mobile Computing and Communications Review, vol. 17, iss. 2, pp. 7-18, 2013.
    [Bibtex] [[PDF] Draft]
    @article{andrienko13,
    title={Report from Dagstuhl: the liberation of mobile location data and its implications for privacy research},
    author={Andrienko, Gennady and Gkoulalas-Divanis, Aris and Gruteser, Marco and Kopp, Christine and Liebig, Thomas and Rechert, Klaus},
    journal={ACM SIGMOBILE Mobile Computing and Communications Review},
    volume={17},
    number={2},
    pages={7--18},
    year={2013},
    publisher={ACM}
    }
  • T. Liebig, “Relating mobility patterns to socio-demographic profiles,” , 2013.
    [Bibtex] [[PDF] Draft]
    @article{liebig13a,
    title={Relating mobility patterns to socio-demographic profiles},
    author={Liebig, Thomas},
    year={2013},
    booktitle={AGILE Conference Workshop on Understanding Urban Cycling: A Data Challenge (CDC2013)}
    }
  • T. Liebig, “Pedestrian Mobility Mining with Movement Patterns,” PhD Thesis, 2013.
    [Bibtex] [[PDF] Draft]
    @phdthesis{liebig2013diss,
    title={Pedestrian Mobility Mining with Movement Patterns},
    author={Liebig, Thomas},
    year={2013},
    school={Universit{\"a}ts-und Landesbibliothek Bonn}
    }

2012

  • T. Liebig and A. U. Kemloh Wagoum, “MODELLING MICROSCOPIC PEDESTRIAN MOBILITY USING BLUETOOTH,” in ICAART, 2012, pp. 270-275.
    [Bibtex] [[PDF] Draft]
    @inproceedings{liebig12,
    title={MODELLING MICROSCOPIC PEDESTRIAN MOBILITY USING BLUETOOTH},
    author={Liebig, Thomas and Kemloh Wagoum, Armel Ulrich},
    booktitle={ICAART},
    pages={270--275},
    year={2012},
    organization={SciTePress}
    }
  • N. Andrienko, G. Andrienko, H. Stange, T. Liebig, and D. Hecker, “Visual Analytics for Understanding Spatial Situations from Episodic Movement Data,” KI-Künstliche Intelligenz, pp. 1-11, 2012.
    [Bibtex] [[PDF] Draft]
    @article{andrienko12,
    title={Visual Analytics for Understanding Spatial Situations from Episodic Movement Data},
    author={Andrienko, Natalia and Andrienko, Gennady and Stange, Hendrik and Liebig, Thomas and Hecker, Dirk},
    journal={KI-K{\"u}nstliche Intelligenz},
    pages={1--11},
    year={2012},
    publisher={Springer}
    }
  • T. Ellersiek, T. Liebig, D. Hecker, and C. Körner, “Analyse von raumzeitlichen Bewegungsmustern auf Basis von Bluetooth-Sensoren,” , pp. 260-269, 2012.
    [Bibtex] [[PDF] Draft]
    @article{ellersiek12,
    title={Analyse von raumzeitlichen Bewegungsmustern auf Basis von Bluetooth-Sensoren},
    author={Ellersiek, Timothy and Liebig, Thomas and Hecker, Dirk and K{\"o}rner, Christine},
    pages={260--269},
    booktitle={Angewandte Geoinformatik 2012 - Beitr\"{a}ge zum 24. AGIT-Symposium Salzburg},
    year={2012},
    publisher={Wichmann},
    }
  • T. Liebig and Z. Xu, “Pedestrian monitoring system for indoor billboard evaluation,” Journal of Applied Operational Research, vol. 4, pp. 28-36, 2012.
    [Bibtex] [[PDF] Draft]
    @article{liebig12a,
    author = {Liebig, T. and Xu, Z.},
    title = {{Pedestrian monitoring system for indoor billboard evaluation}},
    journal = {Journal of Applied Operational Research},
    publisher = {Tadbir Operational Research Group Ltd.},
    issn = {1735-8523},
    volume = {4},
    issue = {1},
    pages = {28--36},
    year = {2012}
    }
  • P. Utsch and T. Liebig, “Monitoring Microscopic Pedestrian Mobility Using Bluetooth,” in Intelligent Environments (IE), 2012 8th International Conference on, 2012, pp. 173-177.
    [Bibtex] [[PDF] Draft]
    @inproceedings{utsch12,
    title={Monitoring Microscopic Pedestrian Mobility Using Bluetooth},
    author={Utsch, Patrick and Liebig, Thomas},
    booktitle={Intelligent Environments (IE), 2012 8th International Conference on},
    pages={173--177},
    year={2012},
    organization={IEEE}
    }
  • T. Liebig, Z. Xu, M. May, and S. Wrobel, “Pedestrian quantity estimation with trajectory patterns,” in Machine Learning and Knowledge Discovery in Databases, Springer Berlin Heidelberg, 2012, pp. 629-643.
    [Bibtex] [[PDF] Draft]
    @incollection{liebig12c,
    title={Pedestrian quantity estimation with trajectory patterns},
    author={Liebig, Thomas and Xu, Zhao and May, Michael and Wrobel, Stefan},
    booktitle={Machine Learning and Knowledge Discovery in Databases},
    pages={629--643},
    year={2012},
    publisher={Springer Berlin Heidelberg}
    }
  • G. Andrienko, A. Gkoulalas-Divanis, M. Gruteser, C. Körner, T. Liebig, K. Rechert, and M. Marhöfer, “4 Working Groups 4.1 Working Group: Cellular Data,” Mobility Data Mining and Privacy, 2012.
    [Bibtex]
    @article{andrienko4,
    title={4 Working Groups 4.1 Working Group: Cellular Data},
    author={Andrienko, Gennady and Gkoulalas-Divanis, Aris and Gruteser, Marco and K{\"o}rner, Christine and Liebig, Thomas and Rechert, Klaus and Marh{\"o}fer, Michael},
    journal={Mobility Data Mining and Privacy},
    year={2012},
    }

2011

  • T. Liebig, “Trajectory Regression Model for Indoor Pedestrian Flow Analysis on Billboard Evaluation,” in International Conference on Applied Operational Research (ICAOR), 2011, pp. 289-300.
    [Bibtex] [[PDF] Draft]
    @inproceedings{liebig11,
    title={Trajectory Regression Model for Indoor Pedestrian Flow Analysis on Billboard Evaluation},
    author={Liebig, Thomas},
    booktitle={International Conference on Applied Operational Research (ICAOR)},
    pages={289--300},
    year={2011},
    organization={Tadbir Operational Research Group Ltd.}
    }
  • H. Stange, T. Liebig, D. Hecker, G. Andrienko, and N. Andrienko, “Analytical workflow of monitoring human mobility in big event settings using bluetooth,” in Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, 2011, pp. 51-58.
    [Bibtex] [[PDF] Draft]
    @inproceedings{stange11,
    title={Analytical workflow of monitoring human mobility in big event settings using bluetooth},
    author={Stange, Hendrik and Liebig, Thomas and Hecker, Dirk and Andrienko, Gennady and Andrienko, Natalia},
    booktitle={Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness},
    pages={51--58},
    year={2011},
    organization={ACM}
    }

2010

  • T. Liebig, H. Stange, D. Hecker, M. May, C. Körner, and U. Hofmann, “A general pedestrian movement model for the evaluation of mixed indoor-outdoor poster campaigns,” Proc. of the Third International Workshop on Pervasive Advertising and Shopping, 2010.
    [Bibtex] [[PDF] Draft]
    @article{liebig10,
    title={A general pedestrian movement model for the evaluation of mixed indoor-outdoor poster campaigns},
    author={Liebig, Thomas and Stange, Hendrik and Hecker, Dirk and May, Michael and K{\"o}rner, Christine and Hofmann, Urs},
    journal={Proc. of the Third International Workshop on Pervasive Advertising and Shopping},
    year={2010}
    }

2009

  • T. Liebig, C. Körner, and M. May, “Fast visual trajectory analysis using spatial bayesian networks,” in Data Mining Workshops, 2009. ICDMW’09. IEEE International Conference on, 2009, pp. 668-673.
    [Bibtex] [[PDF] Draft]
    @inproceedings{liebig09,
    title={Fast visual trajectory analysis using spatial bayesian networks},
    author={Liebig, Thomas and K{\"o}rner, C and May, Michael},
    booktitle={Data Mining Workshops, 2009. ICDMW'09. IEEE International Conference on},
    pages={668--673},
    year={2009},
    organization={IEEE}
    }

2008

  • T. Liebig, C. Körner, and M. May, “Scalable sparse bayesian network learning for spatial applications,” in Data Mining Workshops, 2008. ICDMW’08. IEEE International Conference on, 2008, pp. 420-425.
    [Bibtex] [[PDF] Draft]
    @inproceedings{liebig08,
    title={Scalable sparse bayesian network learning for spatial applications},
    author={Liebig, Thomas and K{\"o}rner, C and May, Michael},
    booktitle={Data Mining Workshops, 2008. ICDMW'08. IEEE International Conference on},
    pages={420--425},
    year={2008},
    organization={IEEE}
    }