
The Piraeus AIS Dataset for Large-scale Maritime Data Analytics
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 present a dataset that contains vessel position information transmitted by vessels of different types and collected via the Automatic Identification System (AIS). The AIS dataset comes along with spatially and temporally correlated data about the vessels and the area of interest, including weather information. It covers a time span of over 2.5 years, from May 9th, 2017 to December 26th, 2019 and provides anonymised vessel positions within the wider area of the port of Piraeus…