Stanislav I. Trofimov, Leonid Voskov, Mikhail Komarov
In the face of growing competition in the transportation market, companies are looking for new ways to improve operational efficiency and reduce fleet maintenance costs. This article presents an innovative vehicle technical condition management model that describes a mechanism for assessing the condition of vehicles using distributed ledger technology (DLT) and smart contracts. An information system for automating maintenance is proposed that can perform monitoring functions and initiate vehicle maintenance without human intervention by automatically registering operation and maintenance events, as well as using smart contracts to launch predefined actions. This level of automation allows timely prevention of unplanned breakdowns, which directly contributes to an increase in the service life of vehicles. The proposed solution allows transport companies to automate decision-making processes on maintenance, reduce transport downtime and optimize operating costs. The model ensures transparency of vehicle operation data, increases trust in information and shortens the decision-making chain. The solution is of particular value for public transport companies, where uninterrupted transportation and passenger safety are critically important.
Open access
Transportation Systems and Logistics
Advanced Research in Systems and Signal Processing
Digital Transformation is a broad initiative to build a new networked information society, driven by information and communication technologies that explore, collect, analyze and distribute data through global telecommunications networks. In today's world, an important strategic issue known as the “Fourth Industrial Revolution” introduced by Germany in 2011[1]. The fierce competition in the market has forced companies to improve their supply chains in chains smart. In doing so, the system improves efficiency, agility and speed of response to the ever-changing global market. The technologies of Industry 4.0 allow companies to achieve long-term objectives by reducing production and transport times thanks to the organization of the supply chain.[2] The Fourth Industrial Revolution gave birth to several avenues of research, mainly related to artificial intelligence. The concept of digitization has touched all logistical links and transport is no exception. One of the most contentious ideas is decentralized freight intelligence, which implies that top-down control of transportation freight will give way to a bottom-up strategy. Providing a research viewpoint on the idea of decentralized freight intelligence in transport 4.0-that is, autonomous freight making localized routing decisions-is the aim of this paper. The paper will include The analysis is based on a review of the academic literature on decentralized intelligence in transport 4.0. Among the many conceptual findings, the analysis highlights the difficulties in introducing and implementing decentralized freight concepts in transport 4.0 and shows a dearth of research on the subject.
The aim of this paper is to synthesize and analyze existing evidence on interconnected sensor networks and digital urban governance in data-driven smart sustainable cities. The research topic of this systematic review is whether and to what extent smart city governance can effectively integrate the Internet of Things (IoT), Artificial Intelligence of Things (AIoT), intelligent decision algorithms based on big data technologies, and cloud computing. This is relevant since smart cities place special emphasis on the involvement of citizens in decision-making processes and sustainable urban development. To investigate the work to date, search outcome management and systematic review screening procedures were handled by PRISMA and Shiny app flow design. A quantitative literature review was carried out in June 2024 for published original and review research between 2018 and 2024. For qualitative and quantitative data management and analysis in the research review process, data extraction tools, study screening, reference management software, evidence map visualization, machine learning classifiers, and reference management software were harnessed. Dimensions and VOSviewer were deployed to explore and visualize the bibliometric data.
In the era of smart cities, Intelligent Transportation System (ITS) are necessary towards the success of smart cars in the modern societies. ITS rely on Vehicular Ad-hoc Networks (VANETs), which enable communication between cars to relay safety messages exchange. However, VANETs can be exposed to the issue of decentralization and high mobility of cars. Therefore, VANETs are vulnerable to a variety of attacks such as black-hole and grey-hole attacks. These attacks have a significantly dangerous influence on the availability of ITS, causing traffic disruption. In this paper, a blockchain-based model is proposed to provide a convenient and secure solution for ITS. Furthermore, it enables decentralized cooperation between cars and mutual trust is created using smart contracts. The experimental evaluation shows that the PDR rates of the proposed protocols achieve good results compared to previous routing protocols. However, the VCBC method gives a high rate of PDR than SCBC reaching 70% because of the high awareness of the sender car.
Abstract The safe transport of special and dangerous cargos is essential for the ecological environment and human health. Modern solutions are based on monitoring of the parameters of their transport with sensors in real time, which allows rapid response to unexpected events. Despite the information available from the sensors, the process of proving an insurance event and paying compensation is the same as for other insurances. This paper proposes a blockchain and IoT based model that chronologically records the data from the sensors located at the vehicle with goods, and the smart contract which sends timely signals to stakeholders (including the insurer) when the parameters of the sensors exceed the set thresholds. An experimental implementation on HyperLedger Fabric is presented, which proves the applicability of the proposed model.
The problem of minimizing the number of intermediaries in the supply chain is long overdue in the logistics industry. How to carry out logistics operations without the participation of a large number of intermediaries, whose main task is to guarantee the transaction and document flow? Is this possible with Blockchain technology? While this technology is still evolving, there are still many challenges that remain to be addressed. One of the main challenges in implementing this technology in logistics is to reach agreement on its use among all stakeholders. When interaction between different stakeholders in the supply chain with different interests is achieved, then the full potential of this technology to improve the efficiency of logistics processes will be revealed. This will facilitate the emergence of new business models and processes in global trade logistics and increase transparency in the supply chain. Smart contracts with embedded business rules promise not only to reduce transaction costs but to create more agile value chains that enable closer cooperation.
The transport and logistics system is a high-tech intelligent system that focuses on the development of the relevant world-class industry, innovations, software and people’s skills. Besides, it is aimed to exchange routine interaction between economic operators with the use of distributed data registry technology and intelligent management systems, develop a trust center of competence, and form an open architecture with dynamic infrastructure development. At the same time, with the general trend for digitalization, today there are two main ways of their development distinguished: machine learning of the vehicle for its interaction with pedestrians and stationary objects, and filling the infrastructure with accounting and information systems when combined with intelligent transport systems. These days the development of the second way lags behind due to the high cost of both bringing its current state into a normative form, and creating a new digital and intelligent world-class infrastructure. In this situation the development of smart contracts is a necessary element for coordinating and organising transportation, which also provides effective transformation of the transport and logistics system, savings for economic operators and the city’s environment improvement.
Open access
Economic and Technological Systems Analysis
Transportation Systems and Logistics
Advanced Research in Systems and Signal Processing
Purpose This paper aims to systematically expound the theory and development background of supply chain finance and blockchain, design a railway freight supply chain financial platform based on blockchain, determine the risk management system and business support system of supply chain finance business and analyze the value generated by the combination of supply chain finance business and blockchain. Design/methodology/approach Investigation and research method; Prototype method; Model method; Value analysis. Findings The business model integrating supply chain finance and blockchain technology will bring great changes to freight industry. The development of supply chain finance is beneficial to the healthy development of the core participants of railway freight transport business and its upstream and downstream ecosystems. It links commerce, logistics, warehousing and financial services together and builds an industry-integrated ecological service platform through information technology platform and supporting system, taking data as the basis and combining information technology such as blockchain as innovative means. Originality/value This paper will provide important reference value for related research. This paper innovatively designs the supply chain financial platform of freight transportation industry-integrating blockchain technology and analyzes its business model, technical system, risk management and control system and value system in detail, which will provide technical support for the innovative reform of freight information technology and realize the stable and high-speed development of freight logistics informationization.
Vasiliy Elagin, Anastasia Spirkina, Mikhail Buinevich, Andrei Vladyko
Over the past decade, wireless communication technologies have developed significantly for intelligent applications in road transport. This paper provides an overview of telecommunications-based intelligent transport systems with a focus on ensuring system safety and resilience. In vehicle-to-everything, these problems are extremely acute due to the specifics of the operation of transport networks, which requires the use of special protection mechanisms. In this regard, it was decided to use blockchain as a system platform to support the needs of transport systems for secure information exchange. This paper describes the technological aspects of implementing blockchain technology in vehicle-to-network; the features of such technology are presented, as well as the features of their interaction. The authors considered various network characteristics and identified the parameters that have a primary impact on the operation of the vehicle-to-network (V2N) network when implementing the blockchain. In the paper, an experiment was carried out that showed the numerical characteristics for the allocation of resources on devices involved in organizing V2N communication and conclusions were drawn from the results of the study.
Improving the quality of software that implements distributed ledger systems based on blockchain technology is an urgent task for the transport industry. In this article, we will look at tools to improve quality such as testing, validation, and validation. The paper lists a number of existing tools for testing and verifying blockchain systems and smart contracts, and also identifies the problem of the lack of an appropriate normative base and standards in this area.
The paper presents the results of comparative studies of the transport management application blockchain technology. The accuracy of the use Quick Road System (QRS) in intelligent transport systems (ITS) may be the service of getting free passage is shown. This service is aimed at creation of decentralized network of road lane sharing in real time. Based on model studies it was found that, depending If a driver is in a hurry or wants to get priority in using the speed lane, then, having established a special status, he shares his place in the lane with other vehicles moving along the same route by exchanging incentives through the blockchain with other private car owners. The paper estimates the probability of with the development of Internet of Things (IoT) technology, the number of connected devices in ITS is growing extremely fast. Therefore, the optimal use of large arrays of collected data is the main focus of research and the Internet of Vehicles (IoV) is one of the most targeted branches of integration of the existing IoT technologies with the growing transport needs in order to solve the problem of intellectual traffic.
The article describes the main trends in the field of intellectualization of transport systems and mobility. The possibility of using the Blockchain technology in transport systems is considered. The article proposes to use Blockchain technology for increasing cybersecurity through the creation of a safe and reliable system for sending parameters of the current state of each vehicle using the signals of neighboring vehicles. The authors have developed a tracking system for car actions using the Blockchain system based on the Exonum platform. Mathematical foundations of this system are presented in the article. Data input and confirmation of their acceptance of the transaction is carried out using an Elliptic Curve Digital Signature Algorithm (ECDSA). ECDSA security is related to the complexity of the private key search task described in the article. This largely relates to the management of large-scale systems, such as transport system. Failure to follow simple rules and recommendations can lead to serious consequences, such as road accidents and congestion. Therefore, the proposed system can assist in making decisions with autonomous cars and in investigating crimes as well as traffic offences.
Task: to develop a concept for implementing distributed Ledger technologies (blockchain) in passenger railway transport and to justify the approach to evaluating the effectiveness of these technologies. Methods: content analysis of special industry research, analysis of specialized statistical reporting on the use of digital systems and technologies, survey, mathematical modeling, and others. Result. The author analyzes the trends of the multimodal passenger transport market, in particular the European segment. It is established that due to the significant development of multimodality in passenger transport, transport organizations will be able to meet modern customer requests mainly when switching to network technologies, mainly to digital systems of distributed transaction data registry. The concept of passenger blockchain in transport is proposed: its functionality, platform composition, digital modules, additional services for passengers. The effects resulting from the introduction of blockchain in passenger transportation are systematized, the sources of their occurrence, and their quantitative assessment for the passenger railway complex of Russia is given. Practical significance: the results of the study deepen methodological developments in the field of economic evaluation of investment projects for the introduction of digitalization technologies. They are in demand by managers of transport companies, development specialists, and analysts who evaluate digital technologies.
The traditional architecture of an urban intelligent-transportation data network has a hierarchical distribution. In this architecture, organizations independently manage and upload data, thereby making data sharing difficult to achieve. To solve this problem, a big data platform of urban intelligent transportation was built in this paper by using blockchain technology. In this platform, block data are used as the core, thereby removing the centralized data management of each organization. This method also completely changes the modes of data acquisition, processing, analysis, and storage and fully realizes platformbased large data sharing, decentralization, and distributed computing of the multisource system of urban intelligent transportation. The big data platform of urban intelligent transportation based on blockchain technology should also solve several key problems, including the unification of data from different sources, the unified supervision and operation of data, and the compatibility with other advanced technologies. To solve these problems, the key technologies for large data platforms were evaluated from a technical perspective. These technologies include the unified technology of each node, the supervision and operation of multitechnology sharing, and the technological compatibility with vehicle networking and vehicle–road collaboration. By taking the problem of traffic flow data loss in road networks under haze as a simulation case scenario, the application of block chain technology was described. By taking some road networks in Beijing as examples, the simulation results show that under the traditional intelligent transportation data network framework, given the limitations of equipment installation layouts and subordinate management organizations, the coverage of road networks for data acquisition is greatly affected by the objective environment, which may lead to data loss. The data acquisition system should also run independently, thereby preventing data sharing at the bottom of the network. The big data platform architecture of urban intelligent transportation based on blockchain technology addresses the limitations of various organizations, realizes data sharing in urban intelligent transportation, and solves the data loss problem under the traditional network architecture.
Dmitry Gura, Yu. V. Dubenko, E. E. Dyshkant, A P Pavlyukova · 5 authors
Abstract The paper considers three technologies for obtaining data on the road surface -through video recording, thermal imaging and laser scanning for the purpose of monitoring, diagnostics and control of the road quality. An analysis of the first two methods showed their significant drawbacks, such as the inability to measure the geometric parameters of deformations (video recording) and the significant dependence of the measurement results on external conditions (thermal imaging). Laser scanning, on the contrary, has a number of advantages, including coordinate referencing, obtaining a three-dimensional model, its transformation and measurement of parameters. Laser scanning is widely used, but mainly for measuring the quantitative characteristics of objects. The paper discusses the application of the laser scanning method to determine the qualitative characteristics of the road surface - the presence or absence of defects, which include hollow spots, waves, cavities, chipping, bleeding, humps, cracks, vertical displacement of road plates, rutting, unevenness of patching, damage to the road surface, track, breach, destruction of the pavement edge, subsidence followed by a complex of repair work. For this, a ground-based laser scanning was performed, the results of which were processed using the Leica Cyclone 9.4 software. According to the scanning data, defects were detected in the form of soil subsidence, hollow spots and humps. The performed work revealed a drawback of the laser scanning method, which consists in the absence of automated detection and recognition of deformations. A number of measures have been proposed to improve this drawback, which slows down the randomness and quality of work in monitoring and diagnosing the road. Further prospects for research on this topic, in particular the multi-purpose use of scanning data, by creating a distributed ledger are also indicated.