Taking time-varying parking demands and supplies into account, this paper develops a dynamic parking choice model to simulate drivers’ searching for parking spaces between parking lots. In this study, each parking lot has one access passage and vehicles can move or wait for entering the park in the access passage. The flow propagation formula in the access passage of parking lots is established to obtain the number of vehicles entering the parking lot from the access passage within each time interval. This paper brings forward the instantaneous dynamic user-optimal condition of dynamic parking choice, constructs an equivalent variational inequality (VI) model and develops a diagonalization algorithm to solve the model. A numerical example demonstrates the rate of in-flow, the rate of out-flow, link flow, instantaneous travel time on each link or access passage of the parking lot, and the amount and routes of cruising traffic at each time point.

The problem of cost management in road transport enterprises is one of the most crucial ones for their efficient functioning. The enterprises functioning on the market are very different so it is important to analyse their costs structure in relation to their size. The author provides a discussion on road transport costs identification and problems related to it. The considerations are based on the background of road transport importance in transport services in Poland and chosen European Union countries. Then, the research methodology consisting of elaborated questionnaire and the research sample are defined with special attention to the company size. The author provides research results on the costs structure in road transport enterprises in southern Poland and presents their components and differences. The author noticed the differences in costs structure in relation to the company size with domination of employment costs in micro and small road transport enterprises and costs of fuel in larger companies that result from better resource management.

The correct prediction in the transport logistics has vital importance in the adequate means and resource planning and in their optimisation. Up to this date, port planning studies were based mainly on empirical, analytical or simulation models. This paper deals with the possible use of Bayesian networks in port planning. The methodology indicates the work scenario and how the network was built. The network was afterwards used in container terminals planning, with the support provided by the tools of the Elvira code. The main variables were defined and virtual scenarios inferences were realised in order to carry out the analysis of the container terminals scenarios through probabilistic graphical models. Having performed the data analysis on the different terminals and on the considered variables (berth, area, TEU, crane number), the results show the possible relationships between them. Finally, the conclusions show the obtained values on each considered scenario.

Studying cycling traffic issues in a beginner city – City of Zagreb, stems from unclear development policy, an increase in cycling volume, a large number of traffic accidents, an inadequate infrastructure and legislation, a small number of high quality studies and published papers, and the question, did current cycling policy and programs advance cycling? A comprehensive search of available literature, including data from the Zagreb Traffic Department, was made. These data do not adequately address the direction of causality, such as whether current cycling policy and programs advance cycling or whether cycling demand led to increased levels of cycling. This review paper suggests that, it is not yet possible to evaluate which pro-bicycle packages are the most effective and, development of cycling traffic requires a coordinated holistic planning strategy. Results could serve as a beacon light for similarly sized beginner cities, especially those who are located in South-eastern and Eastern Europe.

Small and medium sized road freight transport companies located in Hungary are facing strong competition on the logistics market. An advanced cost management system supporting decisions on capacity allocations or pricing may be a competitive advantage for them and indirectly for the whole economy as well. Still, they generally apply simple, traditional cost calculation regimes, potentially sufficient in case of a homogeneous service portfolio. Nevertheless, road haulage companies with heterogeneous service structures may witness information distortions when using traditional costing methods. So it might be recommended for them to introduce better costing principles. To support an improved transport costing, a multi-level full cost allocation model has been set up and tested in this paper. The research results have pointed out that such a methodological development accompanied by the extension of the data collection mechanism can contribute to making the cost management systems of road freight transport companies more effective.

The paper presents outcomes of the discrete event simulation of the ballast water management in a multi-terminal port. The simulation includes ship’s manoeuvring, cargo and ballast operations and a barge-based ballast water treatment system operating within all terminal areas. The barge-based ballast water treatment system is used by ships unable to use their own equipment, not equipped with an appropriate ballast treatment system or non-compliant with the Ballast Water Management (BWM) Convention 2004 for whatever reason. The main goal is to estimate the productivity and cost effectiveness of such systems as an option to support ships not able to comply with the BWM Convention, once it enters into force. The model was built and tested in Arena simulation software. Process parameters are based on real traffic data for the port of Rijeka. The results indicate that barge-based ballast treatment facility will be heavily underutilized, and that such systems are cost-effective only in ports where large volumes of ballast water need to be delivered to shore treatment systems.

Highway management systems are used to improve safety and driving comfort on highways by using control strategies and providing information and warnings to drivers. They use several strategies starting from speed and lane management, through incident detection and warning systems, ramp metering, weather information up to, for example, informing drivers about alternative roads. This paper provides a review of the existing approaches to highway management systems, particularly speed harmonization and ramp metering. It is focused only on modern and advanced approaches, such as soft computing, multi-agent methods and their interconnection. Its objective is to provide guidance in the wide field of highway management and to point out the most relevant recent activities which demonstrate that development in the field of highway management is still important and that the existing research exhibits potential for further enhancement.