MaSEC: Discovering Anchorages and Co-movement Patterns on Streaming Vessel Trajectories

A Python3 implementation of the MaSEC framework.

Installation

Install the dependencies included with the following command

pip install -r requirements.txt

Usage

To use MaSEC at first run the MaSEC.py script using the following command

python MaSEC.py

which will initialize Zookeeper and Apache Kafka and create the Topics needed for the data stream and its results. Afterwards, in order to instantiate the web application (monitor) for the visualization, run the following command

python -m bokeh serve --show ./monitor

Adjusting the parameters of MaSEC is possible via the lib/kafka_config_c_p_v01.py file. More information regarding the parameters and their allowed values (and types) can be found at lib/README.md.

Contributors

Andreas Tritsarolis, Yannis Kontoulis, Nikos Pelekis, Yannis Theodoridis; Data Science Lab., University of Piraeus

Acknowledgement

This work was partially supported by projects i4Sea (grant T1EDK-03268) and VesselAI (grant agreement No 957237), which have received funding by the European Regional Development Fund of the EU and Greek national funds (through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call Research-Create-Innovate) and the EU Horizon 2020 R&I Programme, respectively.

Citation info

If you use MaSEC in your project, we would appreciate citations to the following paper:

Andreas Tritsarolis, Yannis Kontoulis, Nikos Pelekis, Yannis Theodoridis. 2021. MaSEC: Discovering Anchorages and Co-movement Patterns on Streaming Vessel Trajectories. In: SSTD Conference. ACM Press.