Usually, a hydrometeorological information system is faced with great data flows, but the data levels are often excessive, depending on the observed region of the water. The paper presents advanced buoy communication technologies based on multiagent interaction and data exchange between several monitoring system nodes. The proposed management of buoy communication is based on a clustering algorithm, which enables the performance of the hydrometeorological information system to be enhanced. The experiment is based on the design and analysis of the inexpensive but reliable Baltic Sea autonomous monitoring network (buoys), which would be able to continuously monitor and collect temperature, waviness, and other required data. The proposed approach of multiagent based buoy communication enables all the data from the costal‐based station to be monitored with limited transition speed by setting different tasks for the agent‐based buoy system according to the clustering information.

Over the last few years, a large number of researches have emerged and approached the use of mobile expert systems and other information management technologies in the area of intermodal container transportation and decision support. However, practitioner literature poorly analyzes the process of monitoring cargo transportation conditions, cargo information security and other important issues. The paper presents an emerging field of intermodal container transportation where the primary objective of the proposed mobile control system is to monitor cargo conditions during transportation in a real time manner and work as a decision support system. Also, the article evaluates potential risks involved in cargo transportation and therefore provides mobile cargo security assurance service. Computational results suggest using an optimum number of RFID and sensor readings to effectively manage the newly proposed elements of operation strategy in a conceptual strategy framework. The overall results indicate that the integration of risk management practice into transportation processes via a mobile control system increases intermodal container transportation mobility, safety and overall effectiveness.

The problem of oxidation stability of petroleum products often arises under the protracted transportation or tankage of products in the maritime terminal storages or in the national repositories for a prolonged time. So, this paper presents the results of study of auto‐oxidation kinetics of hydrocarbons in the gasoline, carried out by applying the method of middle range IR spectroscopy (MIR) monitoring aimed at the prediction of fuel oxidation stability. The results of study enabled to propose the virtual chemometrical model based on the MIR spectrum analysis which was applicable for testers which register the changes in concentration of olefins. As the object of research there was taken the gasoline which was carrying JV; > 50–90 of different structures of C2‐C10 olefins in unordered set of hydrocarbons which degrade the petroleum product. First Published Online: 27 Oct 2010