Traffic Volumes Prediction Using Big Data Analytics Methods
This paper analyses Ordinance on handling dangerous goods, the conditions and method of transport in maritime traffic, loading and unloading of dangerous goods, bulk and other cargo in ports and the method of preventing the spreading of oil spills in ports especially in the segment of the definition of dangerous goods, the supporting documents accompanying the handling of dangerous goods as well as supervision of the application of protective and safety measures. The author also discusses the terminological inconsistencies of important conceptual definitions while highlighting possible solutions. The paper also researches the role of the professional service, i.e., the qualified person who supervises handling dangerous goods in ports and who as such, is considered as the responsible person. The possible duality of the legal regulation of handling dangerous goods with regard to the Act on Transport of Dangerous Goods is also being researched. The last part highlights the contribution of the European Maritime Safety Agency (EMSA) and the achievements of the Republic of Croatia in establishing a system for the exchange of data on dangerous goods. In conclusion, the author gives an assessment of the compliance of the Croatian legal norm on the handling dangerous goods with international and EU solutions and makes appropriate proposals.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/2217544X
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Supplemental Notes:
- Abstract reprinted with permission from the Faculty of Maritime Studies of the University of Rijeka.
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Authors:
- Janković, Slađana
- Uzelac, Ana
- Zdravković, Stefan
- Mladenović, Dušan
- Mladenović, Snežana
- Andrijanić, Ivana
- Publication Date: 2021
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 184-198
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Serial:
- International Journal for Traffic and Transport Engineering
- Volume: 11
- Issue Number: 2
- Publisher: City Net Scientific Research Center Ltd.
- ISSN: 2217-544X
- EISSN: 2217-5652
- Serial URL: http://www.ijtte.com/home/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Data analysis; Machine learning; Mathematical prediction; Traffic volume
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01780726
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 30 2021 2:47PM