VIII International Scientific Siberian Transport Forum. TransSiberia 2019, Volume 2.
This book presents the findings of scientific studies on the successful operation of complex transport infrastructures in regions with extreme climatic and geographical conditions.
It features the proceedings of the VIII International Scientific Siberian Transport Forum, TransSiberia 2019, which was held in Novosibirsk, Russia, on May 22–27, 2019.
The book discusses improving energy efficiency in the transportation sector and the use of artificial intelligence in transport, highlighting a range of topics, such as freight and logistics, freeway traffic modelling and control, intelligent transport systems and smart mobility, transport data and transport models, highway and railway construction and trucking on the Siberian ice roads.
Consisting of 214 high-quality papers on a wide range of issues, these proceedings appeal to scientists, engineers, managers in the transport sector, and anyone involved in the construction and operation of transport infrastructure facilities.
The rapid development of information technologies and their widespread use in various sectors of the economy, including transportation, have led to a massive growth in data flows. However, the paradox of our time is that this data is not used to its full potential to provide companies with powerful impetus for their development. This is especially true at the strategic level, where company executives still mostly make decisions without relying on the recommendations of business intelligence systems. In the management of road transport, this phenomenon can be attributed to the fragmentation of data sources and the vague understanding of the relationships between them. This is also partially due to the diversity in opinions in the expert community on the efficiency of the transport processes. Thus, it is obvious that, without deciding on how to measure efficiency, it is hard to say where the data for calculations should be acquired from and what should be the architecture of a decision support system. Note that the diversity of data sources in the digital age creates prerequisites for various metrics that highlight different aspects of the transportation process.
The export supplies of metal products represent one of the traditional areas of specialization of Russia in the international trade relations. The feature of such deliveries is the dependence of the contract price on the chosen method of transportation of the delivered products to foreign partners. An important aspect is to ensure the reliability of transportation. The authors of the article proposed a new criterion for the total costs presented, allowing to take into account the direct costs of transportation and losses due to a decrease in the turnover of cash with an increase in delivery time. A mathematical model for evaluating the reliability of transportation is presented and calculations are performed. Attention is paid to the construction of the information platform for the analysis of transport and technological schemes and to ensure the interaction of transportation participants. The formation of a single information space and the provision of semantic compatibility in data exchange based on the ontological approach are recommended. The approach proposed by the authors of the article is used to compare the three main competing options for transporting metal products from Russia to Germany. It has been established that multimodal transportation using rail, sea and road transport is most preferable.
The purpose of research is to determine the areas and justify why the use of the lean concept in these areas can provide improved performance of road transport at industrial enterprises. The research methods included: observation, collection, and analysis of statistical data, expert survey, modeling a transportation system, developing indicators for evaluating the efficiency of transportation losses elimination. An analytical review showed that in lean transportation, the first steps in scientific research aimed at adapting the principles of lean production to road transport operation are being taken. The research revealed the existence of at least sixteen types of transportation losses. This fact differs significantly from the results of the losses research in the industry. An expert survey to analyze the losses is used. The Delphi method is used to identify the causal chains of factors leading to the loss generation. To evaluate the mutual impact of causes, a quantitative assessment is performed. This leads to a significant acceleration in the work aimed at improving the operations of road transport that provides services to industrial enterprises. The “black box” model of the transportation system allowed identifying the resources of the transportation process participants as inputs. There are two other groups of input factors: cargo characteristics and external environment impact. The output characteristics of the model include transportation volume and its quality indicators. A differentiation of the spent resources into useful costs, which are used for cargo transportation, and losses, which are proposed to estimate using cost indicators, was provided.