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dc.contributor.advisor
dc.contributor.authorAkter, Farzana
dc.date.accessioned2023-07-05T16:41:45Z
dc.date.available2023-07-05T16:41:45Z
dc.date.issued2023
dc.identifierno.usn:wiseflow:6856806:54913297
dc.identifier.urihttps://hdl.handle.net/11250/3076276
dc.description.abstractDigitization has led maritime traffic management to update and improve their operation to reduce the challenges caused by increased demand and busier ports. Due to technological development, other domains, such as road traffic management, have made remarkable progress in their traffic system. Maritime traffic management can improve its operation by learning the best practices. The present study will explore the best practices and areas where maritime traffic management can be improved. The thesis conducted a case study by analysing the data from anonymous interviews. The analysis was done to explore learning opportunities in maritime traffic management. The study identified different interesting areas, such as different perspectives on the term Intelligent transport system, adoption barriers for learning, and learning methods. The thesis contributes to identifying similarities, comparisons, challenges, and solutions that can be helpful to have a perspective on the current situation and limitations of the transportation system.
dc.description.abstract
dc.languageeng
dc.publisherUniversity of South-Eastern Norway
dc.titleLearning opportunities of maritime traffic management from road traffic management within the context of Intelligent Transport Systems
dc.typeMaster thesis


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