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Big Data for Mobility Tracking Knowledge Extraction in Urban Areas

Deliverables

Project Website

Project Website and and project social media channels set- up.

Interoperability requirements

Detailed specification of a common repository schema for metadata publishing/ information sharing, based on reference frameworks such as the NIST Big Data Interoperability Framework.

Cross-validation with ICT14 and ICT15 projects

Report on undertaken liaison actions with the ICT-15 Lighthouse projects TT and DataBio, including interesting outcomes of the collaboration. Evaluation of the plan for clustering activities included in D.1.2.

Dissemination Plan, Communications programme, Website

Report on the dissemination strategy, objectives and dissemination plan, events organisation. Report on the utilisation of communications tools/means such as Social media, Conferences, Workshops, Newsletters, Success Stories Factsheets, Articles, Whitepapers, Press Releases, Journal Publications, Policy Briefs etc. Organisation of training courses for end-users on Toolboxes technologies. Evaluation of the dissemination plan. Internal draft deliverable in M18 represented on Gantt as d7.3.

Results of eye-tracking evaluation

Report evaluating the VA methods developed in tasks T5.1-T5.4, in corresponding usage scenarios with appropriate categories of professional users. The evaluation will address objective user performance (how fast/correct are users in problem solving) and subjective user satisfaction.

Track and Know Observatory

Report consolidating literature review and market analysis for competing and complementing tools and technologies. Online observatory, implemented as an integral part of the project website. First version of observatory delivered in M6 along with the revier report (D1.1). A revised version of the observatory with updated content will be available online at the end of the project (RD1.1).

Liaison and Clustering

Report on undertaken liaison actions with other projects and initiatives, (apart from the ICT-15 Lighthouse projects TT and DataBio that will be covered in deliverable D6.5), including interesting outcomes of the collaboration. Internal draft deliverable (liaison soping paper) in M6 represented on Gantt as d7.4.

Experiments Monitoring Report, Learning conclusions

This report will consolidate lessons learned from the implementation of the project pilots, incorporating validation and analysis of results for pilot measurements.

Development of Toolboxes Integration Connectors

Prototypes of the first version of the Track&Know integration connectors (Toolboxes), based on requirements defined in WP1. The connectors will facilitate the seamless integration of internal and external data sources.

Primitive query operators

Specification and prototype implementation of the primitive query operators (for different NoSQL stores), that will serve as a software layer very close to the storage layer, allowing effective and efficient interaction with the massive datasets stored in Track&Know.

Analytics for complex event recognition

Specification, use cases and prototype implementation of machine learning tools for learning complex events from data by using semantic unsupervised labelling for spatiotemporal data. Representational learning will be investigated to achieve a latent representation of spatiotemporal traces and users’/drivers’ behavioural characteristics. The developed machine learning algorithms will be capable of online learning complex event patterns, in order to effectively handle the volume and velocity of the data. The core capabilities of the tools and the application of the algorithms developed, will be demonstrated through an open research data pilot with the use of open data sources. The specification report will include several use cases to allow the use and extension of the tools/algoritmes by development teams across Europe.

Analytics for mobility patterns detection and forecasting

Specification and prototype implementation of a) Customized data analysis methods and tools over Big Mobility Data, including cluster analysis and motion pattern detection, by exploiting enriched and integrated data from multiple sources. b) Algorithms for short- and long-term forecasting of routes, flows, concentration nodes, as well as contextual characteristics, supporting outlier detection, taking advantage of previous data analytics results, as well as complex events. The core capabilities of the tools and the application of the algorithms developed, will be demonstrated through an open research data pilot with the use of open data sources. The specification report will include several use cases to allow the use and extension of the tools/algoritmes by development teams across Europe.

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Publications

Contextualized Analysis of Movement Events

Author(s): Siming Chen, Gennady Andrienko, Natalia Andrienko, Christos Doulkeridis, and Athanasios Koumparos4
Published in: EuroVis Workshop on Visual Analytics, 2019
DOI: 10.2312/eurova.20191124

Towards In-Memory Sub-Trajectory Similarity Search

Author(s): Omid Isfahani Alamdari, Mirco Nanni, Roberto Trasarti, Dino Pedreschi
Published in: EDBT/ICDT 2020 Joint Conference, Issue Vol 2978, 2020

Crash Prediction and Risk Assessment with Individual Mobility Networks

Author(s): Riccardo Guidotti, Mirco Nanni
Published in: 2020 21st IEEE International Conference on Mobile Data Management (MDM), 2020, Page(s) 89-98
DOI: 10.1109/mdm48529.2020.00030

Hot Spot Analysis over Big Trajectory Data

Author(s): Panagiotis Nikitopoulos, Aris-Iakovos Paraskevopoulos, Christos Doulkeridis, Nikos Pelekis, Yannis Theodoridis
Published in: 2018 IEEE International Conference on Big Data (Big Data), 2018, Page(s) 761-770
DOI: 10.1109/bigdata.2018.8622376

“Integration of Mobility Data with Weather Information”

Author(s): Nikolaos Koutroumanis, Georgios Santipantakis, Apostolos Glenis, Christos Doulkeridis and George Vouros
Published in: EDBT/ICDT workshops 2019, 2019

Scalable Distributed Subtrajectory Clustering

Author(s): Panagiotis Tampakis, Nikos Pelekis, Christos Doulkeridis, Yannis Theodoridis
Published in: 2019 IEEE International Conference on Big Data (Big Data), 2019, Page(s) 950-959
DOI: 10.1109/bigdata47090.2019.9005563

Automating and utilising equal-distribution data classification

Author(s): Gennady Andrienko, Natalia Andrienko, Ibad Kureshi, Kieran Lee, Ian Smith, Toni Staykova
Published in: International Journal of Cartography, 2020, Page(s) 1-16, ISSN 2372-9333
DOI: 10.1080/23729333.2020.1863000

Guidance in the human–machine analytics process

Author(s): Christopher Collins, Natalia Andrienko, Tobias Schreck, Jing Yang, Jaegul Choo, Ulrich Engelke, Amit Jena, Tim Dwyer
Published in: Visual Informatics, Issue 2/3, 2018, Page(s) 166-180, ISSN 2468-502X
DOI: 10.1016/j.visinf.2018.09.003

Distributed Subtrajectory Join on Massive Datasets

Author(s): Panagiotis Tampakis, Christos Doulkeridis, Nikos Pelekis, Yannis Theodoridis
Published in: ACM Transactions on Spatial Algorithms and Systems, Issue 6/2, 2020, Page(s) 1-29, ISSN 2374-0353
DOI: 10.1145/3373642

Applications of Trajectory Data From the Perspective of a Road Transportation Agency: Literature Review and Maryland Case Study

Author(s): Nikola Markovic, Przemylaw Sekula, Zachary Vander Laan, Gennady Andrienko, Natalia Andrienko
Published in: IEEE Transactions on Intelligent Transportation Systems, Issue 20/5, 2019, Page(s) 1858-1869, ISSN 1524-9050
DOI: 10.1109/tits.2018.2843298

Analysis of Flight Variability: a Systematic Approach

Author(s): Natalia Andrienko, Gennady Andrienko, Jose Manuel Cordero Garcia, David Scarlatti
Published in: IEEE Transactions on Visualization and Computer Graphics, Issue 25/1, 2019, Page(s) 54-64, ISSN 1077-2626
DOI: 10.1109/tvcg.2018.2864811

COPE: Interactive Exploration of Co-occurrence Patterns in Spatial Time Series

Author(s): Jie Li, Siming Chen, Kang Zhang, Gennady Andrienko, Natalia Andrienko
Published in: IEEE Transactions on Visualization and Computer Graphics, 2018, Page(s) 1-1, ISSN 1077-2626
DOI: 10.1109/tvcg.2018.2851227

Car telematics big data analytics for insurance and innovative mobility

Author(s): Longhi, L., Nanni, M.
Published in: Journal of Ambient Intelligence and Humanized Computing, 2019, ISSN 0000-0000
DOI: 10.1007/s12652-019-01632-4

Learning from Our Movements – The Mobility Data Analytics Era

Author(s): Yannis Theodoridis
Published in: Multiple-Aspect Analysis of Semantic Trajectories - First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings, Issue 11889, 2020, Page(s) 1-5
DOI: 10.1007/978-3-030-38081-6_1

Online Learning of Weighted Relational Rules for Complex Event Recognition

Author(s): Nikos Katzouris, Evangelos Michelioudakis, Alexander Artikis, Georgios Paliouras
Published in: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part II, Issue 11052, 2019, Page(s) 396-413
DOI: 10.1007/978-3-030-10928-8_24

Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers

Author(s): Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi
Published in: Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I, Issue 11439, 2019, Page(s) 55-68
DOI: 10.1007/978-3-030-16148-4_5

Obstructive sleep apnoea (OSA) and response to CPAP treatment in patients with chronic opioid use

Author(s): Lee K, Mason M, Smith I
Published in: Thorax 2018;73:A128-A129, 2018