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Implemented in road transport enterprises (RTEs) on a large scale, telematics systems are dedicated both to the particular aspects of their operation and to the integrated fields of the total operational functioning of such entities. Hence, a research problem can be defined as the identification of their efficiency levels in the context of operational activities undertaken by RTEs (including more holistic effects, e.g., lowering fuel/energy consumption and negative environmental impacts). Current research studies refer to the efficiency of some particular modules, but there have not been any publications focused on describing the efficiency of telematics systems in a more integrated (holistic) way, due to the lack of a universal tool that could be applied to provide this type of measurement. In this paper, an attempt at filling the identified cognitive gap is presented through empirical research analysing the original matrix developed by the authors that refers to the efficiency rates of organisational activities undertaken by RTEs. The purpose of this paper is to present a tool that has been designed to provide a holistic evaluation of efficiency of telematics systems in RTE operational management. The results are presented in a form of an individual (ontogenetic) matrix of the analysed companies, for which a determinant was calculated with the use of Sarrus&rsquo, rule. Obtained in such a way, the set of values identified for the determinants of the subsequent ontogenetic matrices came as an arithmetic progression that characterised the scope and the level of the influence exerted by the implemented IT (information technology) systems on the organisational efficiency of operational activities undertaken by the analysed RTEs. We present a hypothesis stating that the originally developed matrix can be viewed as a reliable tool used for comparative analysis in the field of efficiency of telematics systems in RTEs, and this hypothesis was positively verified during the research. The obtained results prove the significant potential for the wide application of the discussed matrix, which can be used as a universal tool for the analysis and comparison of efficiency indicated by the integrated IT systems in the operational activities undertaken by RTEs.

The presented paper comes as a summary of a theoretical work presenting an original algorithm describing International Multimodal Transport (IMT) mechanisms and processes. Since containers appeared in early 1960s on the regional, and later on, on global scale in logistic operations, the IMT has become the fastest growing combination of an international through-transport. With use of various modes of transport IMT has significant influence on global trade development. Due to its characteristic the IMT process is exposed on the global unitization, standardization, safety, security and economization (optimization) challenges. Thus, there is a need for scientific approach in building a standardized conceptual model of IMT referred in this paper to CAIMT. CAIMT is an original, deterministic algorithm, presented in the block notation, identifying typical procedures as a logical continuation of the programmed sequence of the basic IMT operations. The suggested CAIMT has a potential in further standardization of IMT procedures and can be scientifically developed through the modeling of the IMT processes and safety/security procedures. In addition, in terms of empirical aspects, algorithmization of the main IMT processes can lead to their application in the various expert systems. Summing up, this method (CAIMT) comes as an optimal instrument that can be utilized in order to build further pillars for IMT development, standardization and optimization.

Machine learning (ML) is applied in various logistic processes utilizing innovative techniques (e.g., the use of drones for automated delivery in e-commerce). Early challenges showed the insufficient drones’ steering capacity and cognitive gap related to the lack of theoretical foundation for controlling algorithms. The aim of this paper is to present a game-based algorithm of controlling behaviours in the relation between an operator (OP) and a technical object (TO), based on the assumption that the game is logistics-oriented and the algorithm is to support ML applied in e-commerce optimization management. Algebraic methods, including matrices, Lagrange functions, systems of differential equations, and set-theoretic notation, have been used as the main tools. The outcome is a model of a game-based optimization process in a two-element logistics system and an algorithm applied to find optimal steering strategies. The algorithm has been initially verified with the use of simulation based on a Bayesian network (BN) and a structured set of possible strategies (OP/TO) calculated with the use of QGeNie Modeller, finally prepared for Python. It has been proved the algorithm at this stage has no deadlocks and unforeseen loops and is ready to be challenged with the original big set of learning data from a drone-operating company (as the next stage of the planned research).

The need for global and integrated maritime situational awareness capability is caused by unstable (in terms of security and safety) situation in global shipping represented by recently occurred issues (piracy, terrorism), having additionally an impact on economical conditions for modern shipping. As a response to growing demand for integration of all existing maritime data collection systems the concept of common platform for maritime data exchange has been developed. This telematics solution must be a cost-effective tool in gathering, transforming and dissemination of an integrated and comprehensive space-based maritime transportation data. This paper, based on existing systems research, represents the holistic approach to identification of important factors suitable for the concept of global integrated system. The working hypothesis stating that there are systematic reasons for implementation of a single, common and integrated telematics platform of maritime data exchange has been positively proved. As an example of efforts already taken the GLADIS solutions have been presented.

The knowledge of the latest concepts and solutions dealing with a multitude of areas including telematic solutions and their correct implementation to support actions in progress, becomes one of the essential elements of gaining success in current market conditions. Telematic solutions make it possible not only to automate and shorten processes and logistic activities, but also affect their safety and enable greater flexibility and reliability in the supply chain. They also constitute a feature that allows to reduce the negative impact of transport on the environment. The use of telematics solutions within the supply chain should be considered as a process of dissemination of technological innovation, the result of which should be a clear improvement of the functioning of many processes within the chain, especially the increase in the level of transport services. Therefore, the research and analysis from this area related to the implementation in logistics practice, should be considered as a priority now.

Maritime transport, due to its characteristics, global reach and an important role it plays in economical processes, is now an area of implementation of the newest and the most advanced solutions in shipping monitoring systems. Majority of these solutions are based on Automatic Identification System (AIS) signal transmission. exactAIS is a global vessel monitoring and tracking system based on world leading Satellite AIS (S-AIS) technology. This service enhances maritime domain awareness for government authorities and selected commercial organizations around the world, with superior detection capability, secure distribution of information and high quality of service. This paper is an attempt at providing a complex grasp of the benefits regarding the usage of exactEarth application on a level of the land-marine logistic supply chains.