The quality of Vessel Traffic Management and Information Systems depends on the quality of all subsystems, in particular the quality of control centers. The most commonly used quantitative indicators of the control centers' quality are: reliability, availability, safety, and system failure. Therefore, a block diagram of reliability and the model for reliability / availability (Markov model) have been created in this paper and a detailed analysis and calculation of the quantitative indicators of critical components (servers) of the control center have been performed. The quality functioning of the control centers will enable gathering, processing, storing and dissemination of timely, safe, and reliable data and information to the services in charge of monitoring and management of maritime traffic.
European Commission, “Integrated maritime policy for the EU”– working document III on maritime surveillance systems, 2008
IALA Recommendation V-128 Edition 3.0, June 2007: “Operational and Technical Performance Requirements for VTS Equipment”
Ristov, P.: “Doprinos pouzdanosti i raspoloživosti sustava nadzora i upravljanja pomorskim prometom na Jadranu”, doctoral dissertation, Faculty of Maritime Studies, University of Rijeka, Croatia, 2012
Tomas, V.: “Model distribuiranog dijagnostičkog sistema brodskih elektroenergetskih postrojenja”, doctoral dissertation, Faculty of Maritime Studies, University of Rijeka, Croatia, 2003
Budny, T.: “Two various approaches to VTS Zatoka radar system reliability analysis”, in: RTA # 3-4, 2007, Faculty of navigation, Gdynia, Poland
Intel® Server System, “Calculated MTBF Estimates”, Rev 1.0, March 2009.
Shooman, M. L.: Reliability of Computer Systems and Networks: Fault Tolerance, Analysis, and Design, J. Wiley & Sons, 2002
Guest Editor: Eleonora Papadimitriou, PhD
Editors: Dario Babić, PhD; Marko Matulin, PhD; Marko Ševrović, PhD.
The mission of our journal is to provide high quality communication of research results, which is crucial for the effectiveness of scientific research, the promotion of scientific information, new ideas, and original research in the field of traffic and transportation engineering.
1848-4069
0353-5320
Proud publisher
Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal
