VesselVision: Fleet Safety Awareness over Streaming Vessel Trajectories

VesselVision: Fleet Safety Awareness over Streaming Vessel Trajectories

Highlights
(Fig. left) Visualization of high-risk (in terms of CRI) areas of interest (Fig. right) Visualization of encountering vessels with their corresponding CRI Video Presentation: Contributors: Andreas Tritsarolis, Nikos Pelekis and Yannis Theodoridis Data Science Laboratory, University of Piraeus Code Repository: TBA Contact: Andreas Tritsarolis <andrewt@unipi.gr>
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#2022Datathon@DataStories

#2022Datathon@DataStories

Highlights, News
The Data Science Lab is organizing a Datathon, looking for the next generation of ambitious Data Scientists! If you love coming up with data-driven solutions, join our #2022Datathon@DataStories !! https://www.datastories.org/wp-content/uploads/2022/11/DataStories-datathon-2022a.pdf
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Data Science Lab is hiring! (announcement in Greek)

Data Science Lab is hiring! (announcement in Greek)

Highlights, News, Uncategorized
Πρόσκληση για ερευνητικούς συνεργάτες στο Εργαστήριο Επιστήμης Δεδομένων, Πανεπιστήμιο Πειραιώς Το Εργαστήριο Επιστήμης Δεδομένων του Πανεπιστημίου Πειραιώς (Data Science Lab - https://www.datastories.org/) αναζητά συνεργάτες στην περιοχή της Επιστήμης Δεδομένων / Μηχανικής Μάθησης. Συγκεκριμένα: @ Έμπειροι ερευνητές - senior researchers (επιπέδου PhD ή MSc) με σχετικό ερευνητικό έργο και με εμπειρία στην επίβλεψη ομάδας σε ερευνητικά έργα και τη συγγραφή ερευνητικών…
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The Piraeus AIS Dataset for Large-scale Maritime Data Analytics

The Piraeus AIS Dataset for Large-scale Maritime Data Analytics

Highlights
AIS data collected by the University of Piraeus' AIS receiver Contributors: Andreas Tritsarolis; Yannis Kontoulis; Yannis Theodoridis Data Science Laboratory, University of Piraeus Abstract The advent of Big Data and streaming technologies has resulted in a swarm of voluminous, heterogeneous information, especially in the domains of Internet of Things (IoT) and transportation. Focusing on the maritime field, we…
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ST-Visions

ST-Visions

Highlights
A Python-based library for interactive spatio-temporal data visualization. Overview ST_Visions (Spatio-Temporal Visualizations) is a python library, able to interactively visualize spatio-temporal data in a quick-and-easy way. Based upon the functionality of Bokeh, and further extending it, we are able to create powerful and cohesive visualizations (and/or online dashboards), for large or streaming spatio-temporal datasets. Paper: Link GitHub…
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Univ. Piraeus AIS Stream Visualization

Univ. Piraeus AIS Stream Visualization

Highlights, News
Visualizing streaming AIS positions from vessels sailing in the wider area off the port of Piraeus (Saronic Gulf, Greece). Live Stream: http://www.datastories.org/unipi-ais/ Open-source (GitHub repository): https://github.com/DataStories-UniPi/unipi-ais Usage statistics about our AIS antenna can be found at MarineTraffic, VesselFinder, and AISHub networks- Related publications: MDM’2021, SSTD'2021, Data in Brief 2022- Related datasets: The Piraeus AIS Dataset…
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Hermoupolis – A Trajectory Generator for Simulating Generalized Mobility Patterns

Hermoupolis – A Trajectory Generator for Simulating Generalized Mobility Patterns

Highlights
During the last decade, the domain of mobility data mining has emerged providing many effective methods for the discovery of intuitive patterns representing collective behavior of trajectories of moving objects. Although a few real-world trajectory datasets have been made available recently, these are not sufficient for experimentally evaluating the various proposals, therefore, researchers betake to…
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Hermes Moving Object Database

Hermes Moving Object Database

Highlights
Moving Object Database (MOD) engines enable us to process, manage and analyze mobility data. Hermes provides MOD functionality to OpenGIS-compatible state-of-the-art Object-Relational DBMS. In general, the big picture of Hermes aiming for the efficient management and exploration of mobility data is illustrated in the following figure.
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