Analyzing Vessel Behavior Using Process Mining

Analyzing Vessel Behavior Using Process Mining

Maggi, F.M.
Mooij, A.J.
van der Aalst, W.M.P.

van de Laar, P.J.L.J. (editor)
Tretmans, G.J. (editor)
Borth, M. (editor)

2013

In the maritime domain, electronic sensors such as AIS receivers and radars collect large amounts of data about the vessels in a certain geographical area. We investigate the use of process mining techniques for analyzing the behavior of the vessels based on these data. In the context of maritime safety and security, the goal is to support operators in identifying suspicious behavior that may indicate accidents or undesired activities such as smuggling and piracy. Our approach consists of two phases. In the first phase, process mining is used offline to extract from historical data a reference model of the normal vessel behavior, which can be adapted by experienced operators and domain experts. In the second phase, process mining is used online to verify whether the current vessel behavior is compliant with the reference model, thus allowing for the identification of suspicious behavior.

Communication & Information
ESI - Embedded Systems Innovation
TS - Technical Sciences
Safety and Security
Defence
Defence, Safety and Security
Situational awareness
Maritime environments
Safety and security
Automatic identification systems AIS
Mining techniques
Suspicious behavior

http://resolver.tudelft.nl/uuid:f88166be-7004-4b40-8c3b-fd78f833e7ca

https://doi.org/10.1007/978-1-4614-6230-9_9

471372

Springer, New York

9781461462309

Situation Awareness with Systems of Systems, 133-148

bookPart