@article{10379058,

title = {EnvClus*: Extracting Common Pathways for Effective Vessel Trajectory Forecasting},

author = {Nikolas Zygouras and Alexandros Troupiotis-Kapeliaris and Dimitris Zissis},

doi = {10.1109/ACCESS.2023.3349081},

year  = {2024},

date = {2024-01-01},

urldate = {2023-01-01},

journal = {IEEE Access},

pages = {1-1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Th_Zacharia_2024,

title = {The fuzzy human-robot collaboration assembly line balancing problem},

author = {Paraskevi Th. Zacharia and Elias K. Xidias and Andreas C. Nearchou},

url = {http://dx.doi.org/10.1016/j.cie.2023.109774},

doi = {10.1016/j.cie.2023.109774},

issn = {0360-8352},

year  = {2024},

date = {2024-01-01},

journal = {Computers & Industrial Engineering},

volume = {187},

pages = {109774},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{troupiotis-kapeliaris_big_2023,

title = {The Big Picture: An Improved Method for Mapping Shipping Activities},

author = {Alexandros Troupiotis-Kapeliaris and Dimitris Zissis and Konstantina Bereta and Marios Vodas and Giannis Spiliopoulos and Giannis Karantaidis},

url = {https://doi.org/10.3390%2Frs15215080},

doi = {10.3390/rs15215080},

year  = {2023},

date = {2023-10-01},

journal = {Remote Sensing},

volume = {15},

number = {21},

pages = {5080},

note = {Publisher: MDPI AG},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{soldi_monitoring_2023,

title = {Monitoring of Critical Undersea Infrastructures: The Nord Stream and Other Recent Case Studies},

author = {Giovanni Soldi and Domenico Gaglione and Simone Raponi and Nicola Forti and Enrica d'Afflisio and Pawetextbackslashl Kowalski and Leonardo M. Millefiori and Dimitris Zissis and Paolo Braca and Peter Willett and Alain Maguer and Sandro Carniel and Giovanni Sembenini and Catherine Warner},

url = {https://doi.org/10.1109%2Fmaes.2023.3285075},

doi = {10.1109/maes.2023.3285075},

year  = {2023},

date = {2023-10-01},

journal = {IEEE Aerospace and Electronic Systems Magazine},

volume = {38},

number = {10},

pages = {4–24},

note = {Publisher: Institute of Electrical and Electronics Engineers (IEEE)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pulpito_saliency-aided_2023,

title = {Saliency-Aided Online RPCA for Moving Target Detection in Infrared Maritime Scenarios},

author = {Osvaldo Pulpito and Nicola Acito and Marco Diani and Gabriele Ferri and Raffaele Grasso and Dimitris Zissis},

url = {https://doi.org/10.3390%2Fs23146334},

doi = {10.3390/s23146334},

year  = {2023},

date = {2023-07-01},

journal = {Sensors},

volume = {23},

number = {14},

pages = {6334},

note = {Publisher: MDPI AG},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Charalambopoulos_2023,

title = {Efficient ship weather routing using probabilistic roadmaps},

author = {Nikolaos Charalambopoulos and Elias Xidias and Andreas Nearchou},

url = {http://dx.doi.org/10.1016/j.oceaneng.2023.114031},

doi = {10.1016/j.oceaneng.2023.114031},

issn = {0029-8018},

year  = {2023},

date = {2023-04-01},

journal = {Ocean Engineering},

volume = {273},

pages = {114031},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{negenborn_autonomous_2023,

title = {Autonomous ships are on the horizon: here’s what we need to know},

author = {Rudy R. Negenborn and Floris Goerlandt and Tor A. Johansen and Peter Slaets and Osiris A. Valdez Banda and Thierry Vanelslander and Nikolaos P. Ventikos},

url = {https://www.nature.com/articles/d41586-023-00557-5},

doi = {10.1038/d41586-023-00557-5},

year  = {2023},

date = {2023-03-01},

urldate = {2023-12-01},

journal = {Nature},

volume = {615},

number = {7950},

pages = {30–33},

abstract = {Ships and ports are ripe for operation without humans — but only if the maritime industry can work through the practical, legal and economic implications first.},

note = {Bandiera_abtest: a 

Cg_type: Comment 

Number: 7950 

Publisher: Nature Publishing Group 

Subject_term: Machine learning, Technology, Policy},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{troupiotis-kapeliaris_discovering_2023,

title = {Discovering shipping networks from raw vessel movement},

author = {A. Troupiotis-Kapeliaris and G. Spiliopoulos and M. Vodas and D. Zissis},

year  = {2023},

date = {2023-01-01},

journal = {Port Systems in Global Competition: Spatial-Economic Perspectives on the Co-Development of Seaports},

pages = {265–282},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xidias2022intelligent,

title = {Intelligent fleet management of autonomous vehicles for city logistics},

author = {Elias Xidias and Paraskevi Zacharia and Andreas Nearchou},

doi = {10.1007/s10489-022-03535-y},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Applied Intelligence},

volume = {52},

number = {15},

pages = {18030–18048},

publisher = {Springer},

abstract = {Consideration is given to the management of a fleet of autonomous vehicles (AVs) designed to support freight delivery in urban areas. The fleet of AVs is assumed operating within the general framework of an Intelligent Transportation System (ITS). Creating the technologies necessary for such ITS raises many important and complex problems related to research areas such as automated reasoning, perception, and control among others. Two of them, namely, AVs’ routing and AVs’ motion planning, are the main themes of this work. In this paper, we propose a novel approach for their formation and composition in the context of an ITS. Routing and motion planning decisions for AVs are assessed considering the latest traffic conditions existing on the road network. Since these conditions are usually vague and therefore difficult to be measured accurately, fuzzy logic concepts are incorporated into ITS to simulate the uncertainty in traffic networks. Solutions to the fuzzy routing and fuzzy motion planning for AVs are finally derived from a hybrid approach that combines the A-star algorithm with two modified genetic algorithms. Simulated experiments over the city of Patras (Greece) show the efficiency of the developed approach.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{troupiotis-kapeliaris_data_2022,

title = {Data Driven Digital Twins for the Maritime Domain},

author = {A. Troupiotis-Kapeliaris and N. Zygouras and M. Kaliorakis and S. Mouzakitis and G. Tsapelas and A. Artikis and E. Chondrodima and Y. Theodoridis and D. Zissis},

year  = {2022},

date = {2022-01-01},

journal = {Progress in Marine Science and Technology},

volume = {6},

pages = {744–751},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{troupiotis-kapeliaris_navigating_2022,

title = {Navigating through dense waters: A toolbox for creating maritime density maps},

author = {A. Troupiotis-Kapeliaris and G. Spiliopoulos and M. Vodas and D. Zissis},

year  = {2022},

date = {2022-01-01},

journal = {ACM International Conference Proceeding Series},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pulpito_real-time_2022,

title = {Real-time moving target detection in infrared maritime scenarios},

author = {L. O. Pulpito and N. Acito and M. Diani and G. Corsini and R. Grasso and G. Ferri and A. Grati and K. Le Page and K. Bereta and D. Zissis},

year  = {2022},

date = {2022-01-01},

journal = {2022 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2022 - Proceedings},

pages = {456–461},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bereta_vessel_2022,

title = {Vessel Traffic Density Maps Based on Vessel Detection in Satellite Imagery},

author = {K. Bereta and I. Karantaidis and D. Zissis},

year  = {2022},

date = {2022-01-01},

journal = {International Geoscience and Remote Sensing Symposium (IGARSS)},

volume = {2022-July},

pages = {2845–2847},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xidias2021decision,

title = {A decision algorithm for motion planning of car-like robots in dynamic environments},

author = {Elias K Xidias},

doi = {10.1080/01969722.2021.1909844},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Cybernetics and systems},

volume = {52},

number = {6},

pages = {533–552},

publisher = {Taylor & Francis},

abstract = {Motion planning in dynamic environments is essential for many applications such as in search and rescue missions and in servicing tasks. In this paper, I present a new approach for motion planning for an autonomous mobile robot which is requested to operate in a dynamic environment. The robot’s working environment is cluttered with static obstacles with a priori knowledge of their shapes and positions and with moving obstacles with unknown geometry and motion. In order to ensure a safe motion for the robot I propose a two-stage approach. First, using the Bump-Surface concept I construct a path by considering only the static obstacles of the environment. Then, the robot starts its motion on the given path. When the robot detects a potential danger situation (i.e., collision), a decision algorithm tries to evaluate the risk of collision and simultaneously to find the safest action for the robot. The proposed approach is evaluated in randomly generated simulated scenarios.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatzikokolakis_data-driven_2021,

title = {A data-driven methodology for maritime patterns of life discovery},

author = {K. Chatzikokolakis and D. Zissis and G. Spiliopoulos and M. Vodas},

year  = {2021},

date = {2021-01-01},

journal = {ICT Solutions and Digitalisation in Ports and Shipping},

pages = {253–272},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{millefiori_covid-19_2021,

title = {COVID-19 impact on global maritime mobility},

author = {Leonardo M Millefiori and Paolo Braca and Dimitris Zissis and Giannis Spiliopoulos and Stefano Marano and Peter K Willett and Sandro Carniel},

year  = {2021},

date = {2021-01-01},

journal = {Scientific Reports},

volume = {11},

number = {1},

pages = {1–16},

note = {Publisher: Nature Publishing Group},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{makris_correction_2021,

title = {Correction to: MongoDB Vs PostgreSQL: a comparative study on performance aspects},

author = {Antonios Makris and Konstantinos Tserpes and Giannis Spiliopoulos and Dimitrios Zissis and Dimosthenis Anagnostopoulos},

year  = {2021},

date = {2021-01-01},

journal = {GeoInformatica},

volume = {25},

number = {1},

pages = {241–242},

note = {Publisher: Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zygouras_detecting_2021,

title = {Detecting representative trajectories from global AIS datasets},

author = {N. Zygouras and G. Spiliopoulos and D. Zissis},

year  = {2021},

date = {2021-01-01},

journal = {IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC},

volume = {2021-September},

pages = {2278–2285},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ferri_developing_2021,

title = {Developing a Robotic Hybrid Network for Coastal Surveillance: The INFORE Experience},

author = {G. Ferri and R. Grasso and E. Camossi and A. Faggiani and K. Bereta and M. Vodas and D. Kladis and D. Zissis and K. D. Lepage},

year  = {2021},

date = {2021-01-01},

journal = {Oceans Conference Record (IEEE)},

volume = {2021-September},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ducruet_maritime_2021,

title = {Maritime network analysis: Connectivity and spatial distribution},

author = {César Ducruet and Justin Berli and Giannis Spiliopoulos and Dimitris Zissis},

year  = {2021},

date = {2021-01-01},

journal = {Guide to Maritime Informatics},

pages = {299},

note = {Publisher: Springer Nature},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bereta_maritime_2021,

title = {Maritime reporting systems},

author = {Konstantina Bereta and Konstantinos Chatzikokolakis and Dimitris Zissis},

year  = {2021},

date = {2021-01-01},

journal = {Guide to Maritime Informatics},

pages = {1},

note = {Publisher: Springer Nature},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vodas_online_2021,

title = {Online Distributed Maritime Event Detection Forecasting over Big Vessel Tracking Data},

author = {M. Vodas and K. Bereta and D. Kladis and D. Zissis and E. Alevizos and E. Ntoulias and A. Artikis and A. Deligiannakis and A. Kontaxakis and N. Giatrakos and D. Arnu and E. Yaqub and F. Temme and M. Torok and R. Klinkenberg},

year  = {2021},

date = {2021-01-01},

journal = {Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021},

pages = {2052–2057},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{millefiori2021covid,

title = {COVID-19 impact on global maritime mobility},

author = {Leonardo M Millefiori and Paolo Braca and Dimitris Zissis and Giannis Spiliopoulos and Stefano Marano and Peter K Willett and Sandro Carniel},

doi = {10.1038/s41598-021-97461-7},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Scientific reports},

volume = {11},

number = {1},

pages = {18039},

publisher = {Nature Publishing Group UK London},

abstract = {To prevent the outbreak of the Coronavirus disease (COVID-19), many countries around the world went into lockdown and imposed unprecedented containment measures. These restrictions progressively produced changes to social behavior and global mobility patterns, evidently disrupting social and economic activities. Here, using maritime traffic data collected via a global network of Automatic Identification System (AIS) receivers, we analyze the effects that the COVID-19 pandemic and containment measures had on the shipping industry, which accounts alone for more than 80% of the world trade. We rely on multiple data-driven maritime mobility indexes to quantitatively assess ship mobility in a given unit of time. The mobility analysis here presented has a worldwide extent and is based on the computation of: Cumulative Navigated Miles (CNM) of all ships reporting their position and navigational status via AIS, number of active and idle ships, and fleet average speed. To highlight significant changes in shipping routes and operational patterns, we also compute and compare global and local vessel density maps. We compare 2020 mobility levels to those of previous years assuming that an unchanged growth rate would have been achieved, if not for COVID-19. Following the outbreak, we find an unprecedented drop in maritime mobility, across all categories of commercial shipping. With few exceptions, a generally reduced activity is observable from March to June 2020, when the most severe restrictions were in force. We quantify a variation of mobility between −5.62 and −13.77% for container ships, between +2.28 and −3.32% for dry bulk, between −0.22 and −9.27% for wet bulk, and between −19.57 and −42.77% for passenger traffic. The presented study is unprecedented for the uniqueness and completeness of the employed AIS dataset, which comprises a trillion AIS messages broadcast worldwide by 50,000 ships, a figure that closely parallels the documented size of the world merchant fleet.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zissis2020distributed,

title = {A distributed spatial method for modeling maritime routes},

author = {Dimitris Zissis and Konstantinos Chatzikokolakis and Giannis Spiliopoulos and Marios Vodas},

doi = {0.1109/ACCESS.2020.2979612},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {IEEE Access},

volume = {8},

pages = {47556–47568},

publisher = {IEEE},

abstract = {In this work we propose a novel spatial knowledge discovery pipeline capable of automatically unravelling the “roads of the sea” and maritime traffic patterns by analysing voluminous vessel tracking data, as collected through the Automatic Identification System (AIS). We present a computationally efficient and highly accurate solution, based on a MapReduce approach and unsupervised learning methods, capable of identifying the spatiotemporal dynamics of ship routes and most crucially their characteristics, thus deriving maritime “patterns of life” at a global scale, without the reliance on any additional information sources or a priori expert knowledge. Experimental results confirm high accuracy of results and superior performance in comparison to other methods, with the entire processing duration completing in less than 3 hours for more than a terabyte of non-uniform spatial data. Finally, to clearly demonstrate the applicability and impact of our proposed method, we evaluate its ability to detect real world “anomalies”, such as maritime incidents reported in the European Marine Casualty Information Platform. Numerical results show the advantages of our scheme in terms of accuracy, with an achieved anomaly detection accuracy of higher than 93%, by detecting 313 out of 335 relevant maritime incidents.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Xidias2020,

title = {AGV routing and motion planning in a flexible manufacturing system using a fuzzy-based genetic algorithm},

author = {P. T. Zacharia and E. K. Xidias},

year  = {2020},

date = {2020-01-01},

journal = {International Journal of Advanced Manufacturing Technology},

volume = {109},

number = {7-8},

pages = {1801-1813},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Xidias2020b,

title = {Optimal robot task scheduling based on adaptive neuro-fuzzy system and genetic algorithms},

author = {E. Xidias and V. Moulianitis and P. Azariadis},

year  = {2020},

date = {2020-01-01},

journal = {International Journal of Advanced Manufacturing Technology},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{makris_mongodb_2020,

title = {MongoDB Vs PostgreSQL: A comparative study on performance aspects},

author = {Antonios Makris and Konstantinos Tserpes and Giannis Spiliopoulos and Dimitrios Zissis and Dimosthenis Anagnostopoulos},

year  = {2020},

date = {2020-01-01},

journal = {Geoinformatica},

note = {Publisher: Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{psomakelis_context_2020,

title = {Context agnostic trajectory prediction based on λ-architecture},

author = {Evangelos Psomakelis and Konstantinos Tserpes and Dimitris Zissis and Dimosthenis Anagnostopoulos and Theodora Varvarigou},

year  = {2020},

date = {2020-01-01},

journal = {Future Generation Computer Systems},

volume = {110},

pages = {531–539},

note = {Publisher: North-Holland},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kontopoulos_real-time_2020,

title = {Real-time maritime anomaly detection: detecting intentional AIS switch-off},

author = {I. Kontopoulos and K. Chatzikokolakis and D. Zissis and K. Tserpes and G. Spiliopoulos},

year  = {2020},

date = {2020-01-01},

journal = {Int. J. Big Data Intelligence},

volume = {7},

number = {2},

pages = {85–96},

note = {Publisher: Inderscience Publishers},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zissis_distributed_2020,

title = {A distributed spatial method for modeling maritime routes},

author = {D. Zissis and K. Chatzikokolakis and G. Spiliopoulos and M Vodas},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Access},

volume = {8},

pages = {47556–47568},

note = {Publisher: IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Xidias2019b,

title = {Optimal task placement in a metamorphic manipulator workspace in the presence of obstacles},

author = {V. C. Moulianitis and E. Xidias and P. Azariadis},

year  = {2019},

date = {2019-01-01},

journal = {Mechanisms and Machine Science},

volume = {67},

pages = {359-367},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Xidias2019,

title = {Energy efficient motion design and task scheduling for an autonomous vehicle},

author = {E. Xidias and P. Azariadis},

year  = {2019},

date = {2019-01-01},

journal = {Proceedings of the International Conference on Engineering Design, ICED},

volume = {2019-August},

pages = {2853-2862},

keywords = {},

pubstate = {published},

tppubtype = {article}

}