Efficient heuristic for non-linear transportation problem on the route with multiple ports

Krile, Srećko

doi:10.2478/pomr-2013-0044

Cited by 18 publications

(12 citation statements)

References 9 publications

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“…The main variables for simulation process are as follows: [5] studied the problem of design for the shipping route network under the condition of the given number of ships, mainly concerned with fleet design, scheduling and shipping route; authors in [6] studied the joint transportation planning and dynamic route selection of the shipping network, and established a two-stage randomized programming model; authors in [7] took a minimum cost of the total system as the target value to select the transit port for four kinds of container types in the import and export transportation network. Author in [8] studied the efficient heuristic for non-linear transportation problem on the route with multiple ports, and a new model is presented for optimal voyage planning in container shipping.…”

Section: Parameters In the Task Of Organaizing Ferry And Cruise Linesmentioning

confidence: 99%

“…Increasing the route network and changing the role of ports and terminals make it necessary to use a systematic approach, together with the use of prediction methods based on artifical intelligence. For high-quality forecasting, it is not just enough to consider cruise ship routes [6,8], it is necessary to consider the interaction of such systems as «urban infrastructure (land transport networks)-sea passenger terminals-cruise network». To analyze the differences of these systems, it is necessary to solve the problem of selecting variables, based on which, it is possible to investigate and predict the operation of the entire system, to determine changes in route networks.…”

Section: Introductionmentioning

confidence: 99%

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Forecasting of the Route Network of Ferry and Cruise Lines Based on Simulation and Intelligent Transport Systems

Maiorov¹,

Фетисов²,

Krile³

et al. 2019

Transport Problems

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According to statistics, the marine passenger transportation sectors (both cruise lines and ferry lines) show a significant increase of passenger traffic and the intensity of ship routes. But new features of the conditions for passenger traffic growth require the development of new methodological transport models for cruise and ferry networks and new practical forecasting methods. Changes are observed in the fleet composition, mostly in the direction of increased. New approach for forecasting has to be based on the interaction of such systems as «city-sea passenger port-cruise and ferry lines». This condition now determines new need to describe the principles and forms of organization of maritime ferry networks and changes under the influence of the external environment. The object of the research is the Baltic Sea region and the existing route networks of cruise and ferry lines. Exploring this system, the usage of new mathematical apparatus based on correspondence matrices and agent-based simulation was justified for estimating the workload on transport infrastructure around the passenger port and for the existing ferry or cruise route network. The practical results of new simulation model, on the one hand, justify the need for a comprehensive study of the conditions for the formation of ferry and cruise route networks in changing conditions. On the other hand, these new results could improve the quality of decision-making process in forecasting the route network on the basis of the research of passenger traffic between systems «city-sea terminal-cruise line or ferry line».

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Section: Parameters In the Task Of Organaizing Ferry And Cruise Linesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Forecasting of the Route Network of Ferry and Cruise Lines Based on Simulation and Intelligent Transport Systems

Maiorov¹,

Фетисов²,

Krile³

et al. 2019

Transport Problems

Self Cite

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show abstract

“…Moreover, if defects and weak points are detected, there is usually no time for making major changes in terminal. The simulation model should be implemented in the early stages of project development [4][5][6][7] and used in the main parallel project. After the completion of the terminal simulation model, taking into account the structural modifications, it should be transformed into a transport model.…”

Section: Practical Development Of Intelligent Simulation Of the Passementioning

confidence: 99%

Forecasting the Operational Activities of the Sea Passenger Terminal Using Intelligent Technologies

Krile¹,

Maiorov²,

Фетисов³

2018

Transport Problems

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Modern transport systems are characterized by the development and implementation of intelligent transport technologies. Today, dynamic forecast models are not used in practice in the operation of a passenger terminal. Decision making is based on some regulatory values for passenger traffic, but this is not sufficient for efficient terminal management. Modern passenger terminals are characterized by dynamic process variability and consideration of diverse options, taking into account the criteria of safety, reliability analysis, and the continuous research of passenger processing. For any modern marine passenger terminal, it is necessary to use the tool to simulate passenger flows in dynamics. Only in this way it is possible to obtain the analytical information and use it for decision making when solving the problem of the amount of personnel required for passenger service, transport safety, some forecasting tasks and so on. Of particular relevance is the choice of the mathematical transport model and the practical conditions for the implementation of the model in the real terminal operation. In this article, the analysis technique of intelligent simulation-based terminal services provides a new mathematical model of passenger movement inside the terminal and presents a new software instrument. Moreover, the conditions of implementation of some transportation models during the operation of marine passenger terminal are examined. The study represents an example of analytical information used for the forecast of the terminal operations, the analysis of the workload and the efficiency of the organization of the marine terminal.

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“…Here we mostly discuss about single-comodity transportation problem, but in cargo transport we often need multi-commodity approach, that is more complex. Also, linearity of transport costs is not present in practice so often, so non-linear problems could be more demanding [12].…”

Section: North Seamentioning

confidence: 99%

Primjena problema trgovačkog putnika na crnomorske luke na primjeru čeških brodarskih tvrtki

Chládek¹,

Smetanová²

2018

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Graph theory offers useful tools for solving problems in transportation. This article concerns the Travelling Salesman Problem. This classic transport problem is addressed in terms of Czech shipping companies and the ports on the Black Sea. Using mathematical software, a Hamiltonian cycle with the smallest sum of the weights of the edges along these ports is found and discussed. Algorithms based on graph theory are used to find the economically most advantageous path. The start and end of the route are located in Prague because Czech companies currently operating in maritime transport have headquarters located there.

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Efficient heuristic for non-linear transportation problem on the route with multiple ports

Abstract: We need a better transport planning tool for loading maximization and transport cost minimization on the voyage route with multiple loading/unloading (discharging)

Cited by 18 publications

References 9 publications

Forecasting of the Route Network of Ferry and Cruise Lines Based on Simulation and Intelligent Transport Systems

Forecasting of the Route Network of Ferry and Cruise Lines Based on Simulation and Intelligent Transport Systems

Forecasting the Operational Activities of the Sea Passenger Terminal Using Intelligent Technologies

Primjena problema trgovačkog putnika na crnomorske luke na primjeru čeških brodarskih tvrtki

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