Journal articles: 'Systèmes de transport intelligent – Innovation'

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Ygnace, J. "Les systèmes de transport intelligent." Recherche - Transports - Sécurité 68 (September 2000): 87. http://dx.doi.org/10.1016/s0761-8980(00)90026-8.

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Lusikka, Toni, Tuomo K. Kinnunen, and Juho Kostiainen. "Public transport innovation platform boosting Intelligent Transport System value chains." Utilities Policy 62 (February 2020): 100998. http://dx.doi.org/10.1016/j.jup.2019.100998.

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Kirova, Antoaneta. "STRATEGIC PARTNERSHIPS FOR INNOVATION AND INTELLIGENT CONCEPTS FOR TRANSPORT AND MOBILITY." MEST Journal 6, no. 1 (January 15, 2018): 15–26. http://dx.doi.org/10.12709/mest.06.06.01.03.

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Kowalewski, Marian, Andrzej Pękalski, and Mirosław Siergiejczyk. "Standardization of cooperation of intelligent transport systems in vehicles." Roads and Bridges - Drogi i Mosty 13, no. 4 (February 13, 2015): 357–78. http://dx.doi.org/10.7409/rabdim.014.022.

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Communications between road vehicles and with their environment (V2X) is important for cooperative ITS (C-ITS) application implementations including those which enhancing road traffic safety. Formal and de facto V2X communications standards are key to application development requiring cooperation of distributed components with maintenance of all interoperability conditions. Experiences proof that ITS solutions support road traffic safety enhancement and this is reasoning of European Union priorities of this subjects and thus many research, innovation and deployment actions.

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Yu, Hui Jun, Zhi Gang Wang, Xiao Yan Liu, and Dong Hu. "A Big Data Application in Intelligent Transport Systems." Applied Mechanics and Materials 734 (February 2015): 365–68. http://dx.doi.org/10.4028/www.scientific.net/amm.734.365.

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Intelligent Transport Systems (ITS) theory is developed nearly a dozen years which is focused on building integrated transportation system, its success will inevitably have a fundamental change in the way the current traffic works. ITS is a large complex system, with integrated multidisciplinary knowledge to implement. The paper explores a new way of integrating big data insights with automated and assisted processes related to ITS. We show how innovation from China Si Chuan Province Traffic Management Bureau under our big data implementation to improve their business performance. With the new big data algorithm, we could predict drivers' behavior, and ultimately understand which factors are influencing the most. The architecture and implementation is thoroughly introduced in the paper, and we point out the future extension in the end.

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Et. al., Srinivasa srikrishna joshi,. "Intelligent School Bus: Guarrenteeing Safety Ofschool Children." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 10, 2021): 3239–44. http://dx.doi.org/10.17762/turcomat.v12i2.2382.

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On assessing the previous work of faculty transport following, checking and cautioning framework, there's a likelihood to order different procedures and distinguish new patterns. one of them may be a test for vehicle following, observing and cautioning framework. Presently a days with the ascent inside the rate and mishaps, guardians stress over their youngsters once they are having the opportunity to schools. what's more, bunches of youngsters end up bolted during a transport inside the transport leaving zone subsequent to nodding off on their gratitude to class, miss the transport, or leave at the wrong station. This task utilizes the pertinence of recurrence recognizable proof (RFID) innovation for following and checking utilizing GPS, kids during their excursion to and from school-on-school transports. Furthermore, it's the potential gain of powerful after limits, ease and clear upkeep. The individual RFID names are convincing and it's used for following and noticingyoungsters. Vibration sensor is this undertaking to identify any mishaps and site refreshed on cloud. And furthermore, checking the main thrust status as driver burn-through liquor and motor is off observing an alarming framework. The system involves three rule units, transport unit, parent unit and faculty unit The transport unit is utilized to identify when a baby enters/exits from the transport utilizing RFID Card. This data is conveyed to the parent unit and facult y unit that recognize the presence of adolescents. The framework tracks the varsity transport by the IOT.

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Ernst Ambrosch, Karl, Dietrich Leihs, and Giuseppe Lugano. "Enhancing Research and innovAtion dimension of the University of Zilina in intelligent transport systems." Impact 2017, no. 1 (January 9, 2017): 97–99. http://dx.doi.org/10.21820/23987073.2017.1.97.

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Bányai, Tamás, Béla Illés, Christian Landschützer, Fabian Schenk, and Flavien Massi. "COOPERATION IN LOGISTICS TECHNOLOGY RESEARCH: HOW TWINNING PROJECT AFFECTS R+D IN THE FIELD OF LOGISTIC SYSTEMS AND NETWORKS." Advanced Logistic Systems - Theory and Practice 12, no. 1 (April 25, 2019): 21–36. http://dx.doi.org/10.32971/als.2019.002.

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The overall aim of the UMi-TWINN project was to reinforce the scientific excellence and innovation capacity in logistic systems of the University of Miskolc and its high-quality twinning partners for the benefit of different industries and logistics markets. To boost twinning partners' scientific excellence and innovation capacity in logistics technologies, as well as implementing a research and innovation strategy we have focused on the following three sub-topics: design of logistic systems and networks, intelligent transport systems and dynamical analysis of materials handling machines. Within the frame of this paper the authors describe the main results in the field of design of logistic systems.

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Leviäkangas, Pekka. "Intelligent Transport Systems−Technological, Economic, System Performance and Market Views." International Journal of Technology 4, no. 3 (July 30, 2013): 288. http://dx.doi.org/10.14716/ijtech.v4i3.133.

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Grant-Muller, Susan, and Mark Usher. "Intelligent Transport Systems: The propensity for environmental and economic benefits." Technological Forecasting and Social Change 82 (February 2014): 149–66. http://dx.doi.org/10.1016/j.techfore.2013.06.010.

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Dhage, Prajakta. "GPS and RFID Based Intelligent Bus Tracking System." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 2795–98. http://dx.doi.org/10.22214/ijraset.2021.35604.

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RFID is an innovation like that of scanner tag checking. A RFID framework comprises of labels, which utilize radio recurrence signs to communicate its area data to a pursuer, which generally sends this data to a worker that measures it as indicated by the requirements of the application. This paper presents a framework that can follow transports across a city by putting RFID labels in the transports and the pursuers in each elective bus station. The neighborhood worker for the city gets the area data, and cautions the impending bus stations during the transport, of the transport's number, course, and anticipated season of appearance, which are then shown at the stop. This framework accordingly depicts is a financially savvy and simple to carry out plot for following transports continuously.

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Bıyık, Can, and Tan Yigitcanlar. "Intelligent transport systems in Turkish urban environments: a comprehensive review." International Journal of Knowledge-Based Development 11, no. 4 (2020): 382. http://dx.doi.org/10.1504/ijkbd.2020.10037852.

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Bıyık, Can, and Tan Yigitcanlar. "Intelligent transport systems in Turkish urban environments: a comprehensive review." International Journal of Knowledge-Based Development 11, no. 4 (2020): 382. http://dx.doi.org/10.1504/ijkbd.2020.115037.

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Kraft, Stanislav, Vojtěch Blažek, and Miroslav Marada. "Exploring the daily mobility rhythms in an urban environment: using the data from intelligent transport systems." Geografie 127 (2022): 1. http://dx.doi.org/10.37040/geografie.2022.004.

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The recent development of modern intelligent transport systems has caused a major innovation in the organization and management of traffic and enabled a pronounced integration of new data on the transport phenomena and processes. The goal of the study is to analyse the daily mobility rhythms in an urban environment through data from intelligent transport systems. To study daily mobility rhythms, we make use of hitherto unutilized data from inductive loops and strategic traffic detectors (parts of the ITS) within the urban area of České Budějovice, Czechia. We particularly focus on the assessment of overall daily mobility rhythms and the daily rhythms of individual locations within the urban area with a goal to reveal the main conformities and differences. The research has attained two key results. It was discovered that daily mobility rhythms differ especially in individual types of vehicles (cars, medium vehicles, and long vehicles). In the assessment of spatial differences in the daily rhythms of individual locations significant differences were revealed in the courses of daily mobility rhythms in the city centre, residential areas, and shopping areas.

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Gnoni, Maria Grazia, Valerio Elia, and Alessandra Rollo. "RFID technology for an intelligent public transport network management." International Journal of RF Technologies 3, no. 1 (2012): 1–13. http://dx.doi.org/10.3233/rft-2011-014.

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De Brucker, Klaas, Cathy Macharis, and Alain Verbeke. "Two-stage multi-criteria analysis and the future of intelligent transport systems-based safety innovation projects." IET Intelligent Transport Systems 9, no. 9 (November 1, 2015): 842–50. http://dx.doi.org/10.1049/iet-its.2014.0247.

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MA'RUFI, Maksud. "Building the export-oriented innovation network in high-tech industry." Economic Analysis: Theory and Practice 20, no. 6 (June 30, 2021): 1127–50. http://dx.doi.org/10.24891/ea.20.6.1127.

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Subject. The article addresses the process of forming the composition of participants in the export-oriented innovation network. Objectives. I focus on developing and testing a conceptual approach to the formation of an export-oriented innovation network in the field of high technologies. Methods. The study rests on the works by A. Marshall on centripetal and centrifugal forces that arise in the environment of interaction between various economic actors. I also use methods of multivariate statistical analysis and stochastic modeling of factor systems. The data of the World Trade Organization, the World Bank, and the official websites of organizations in the field of creating intelligent transport systems serve as the information basis for analytical procedures. Results. I developed a conceptual approach to the selection of participants in the export-oriented innovation network, based on the dynamic differentiation of their composition, depending on the propensity to carry out either innovation or production activities. I obtained the testing results of the developed approach, using the conditions of functioning of forty Russian enterprises and organizations involved in the creation of intelligent vehicles. Conclusions. The testing results confirmed the hypothesis about the differentiation of the composition of participants in the innovation network based on the aptitude for either innovative or production activities, and demonstrated the possibility of using the developed approach in relation to solving the problems of designing export-oriented network structures with different industry and technological specializations.

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Abdalla Alameen, Dr, and Dr Ashu Gupta. "Intelligent Decision Support System for Transport Infrastructure Investment with Emphasis on Joint Logistic Concept." International Journal of Engineering & Technology 7, no. 4.39 (December 13, 2018): 1001–6. http://dx.doi.org/10.14419/ijet.v7i4.39.27746.

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The point of this proposal is to give to the legislative chief/client, an instrument that can help him/her in enhancing the foundation speculation choice in the efficient, ecological and maintainable angles. This implies, the Return on Investment (ROI) of the concerned transport framework, fulfilling natural and maintainable imperatives must be certain, and comparing to an ideal venture cost. The choice emotionally supportive network can be connected in two measurements. One measurement is the place the genuine arrangement process is happening among private and open partners, called "ongoing transaction process". The second measurement is the place the arrangement procedure is induced by the client (open part) without private partners communication (yet with association through re-enactment), called "virtual transaction process". The re-enactment and nearby advancement procedures, in stage with operator innovation, utilized in the "virtual transaction process" empower us to accomplish a specific measure of elective choices to the essential/proposed choice to be assessed.Â Â

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Tomaszewska, Ewelina Julita. "Barriers related to the implementation of intelligent transport systems in cities - the Polish local government’s perspective." Engineering Management in Production and Services 13, no. 4 (December 1, 2021): 131–47. http://dx.doi.org/10.2478/emj-2021-0036.

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Abstract Intelligent transport systems (ITS) are undoubtedly an opportunity for the sustainable development of smart cities today. ITS is based on advanced transport technologies that help minimise the emission of harmful substances to the environment. Smart mobility and ITS are related to the use of ICT. The implementation of technologically advanced ITS is associated with several benefits, barriers and difficulties. However, transport, ITS and smart mobility (as a component of a smart city) are indicated as the most desirable option for sustainable urban transport systems. The article aims to identify barriers related to the implementation of ITS in cities from the point of view of people responsible for the organisation of urban transport representing the local government of selected voivodship cities in Poland. The goal formulated in this way allowed to identify the following research question: what are the problems and barriers of implementing ITS in the city from the local government’s perspective? To achieve the paper’s aim, the author based their analysis on a qualitative technique of collecting empirical data. Ten individual in-depth interviews were conducted with representatives of local governments (vice-mayors and members of urban transport organisers) in voivodship cities, which represented six Polish macro-regions. Research results and findings indicate the main categories and subcategories of barriers related to the ITS implementation. The identified barriers are grouped into the following categories: economic, social, organisational, technological and legal. The contribution is twofold: first, in the presentation of the theoretical and practical barriers to ITS in juxtaposition; and second, in identifying the intelligent transportation impact, which affects the provision of being a smarter city. The findings can positively influence as important factors for local governments to focus on intelligent transport.

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Kędzior-Laskowska, Małgorzata. "Technical and Technological Innovations and Quality in Road transport of Goods - Selected Aspects." Transport Economics and Logistics 83 (September 17, 2019): 51–62. http://dx.doi.org/10.26881/etil.2019.83.04.

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The article presents the results of research regarding the impact of technical and technological innovations on the quality of services in road transport of goods. The study was conducted using a structured questionnaire survey on a sample of134 road transport companies. Respondents were managers and business owners. 7 factors, which potentially determined the quality of services, were assessed by the respondents. The data analysis used the arithmetic mean and the dominant, which formed the basis for determining the importance of a given factor for the quality of services. The variability analysis provided information about the variation of the sample. The results of the research proved the influence of innovation on quality. The highest-ranked factors supporting the quality ofroad transport services were intelligent transport systems, the ability to minform the customer about the actual location of the shipment (delivery time) and systems supporting the work of a professional driver. The article also identified selected innovations and attempts were made to determine their importance in the development of the quality of services and the effects of their functioning on the road transport system.

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Phelan, Tim. "Using technology and innovation to deliver a step change in CSG workover rig services." APPEA Journal 58, no. 2 (2018): 733. http://dx.doi.org/10.1071/aj17142.

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The well servicing industry is demanding technology solutions that continually improve safety and productivity performance. Through in-field experience, the Advantage Light Rig (ALR) has been developed, specifically designed to service existing coal seam gas (CSG) wells and install infrastructure in newly drilled wells, to significantly improve the safety and productivity performance of workover operations by reducing the time taken to deliver a workover from 5.5 to 2.5 days. Designed and built in Toowoomba, the ALR ‘factory-style’ rig has allowed additional efficiencies to be applied across operations from the training and capability of the staff who operate these rigs to the support operations that enable the rigs to perform, such as warehousing, workshop maintenance, transport, aviation, training and camp operations. In addition to improved rig technology and innovation, further cost efficiencies can be achieved by collecting real-time operational data. Using intelligent analytics to improve logistics management (rig and vehicle movements, workforce planning, supply chain) and asset utilisation (electronic tour reporting, engineering and maintenance, camp capacities) will reduce costs and improve services. New enabling technologies and innovations like the ALR (and the Advantage Light Rig Extra) and the intelligent analysis of real-time operational data help improve business performance by reconfiguring products and processes. Through a deliberate investment in innovation and by leveraging operational data, the resources industry will benefit from improved safety and productivity performance.

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Nurbayeva, A. T., B. S. Tolysbayev, U. S. Alimbetov, and Z. M. Turdieva. "Management of innovative development of transit transportation on the railways." Bulletin of "Turan" University, no. 3 (October 11, 2022): 248–59. http://dx.doi.org/10.46914/1562-2959-2022-1-3-248-259.

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The article discusses the innovative development of transit transportation on the railway transport of Kazakhstan, including the management of domestic, export-import and transit cargo transportation. The study revealed the need to create a modern transport infrastructure of Kazakhstan to attract transit cargo flows. Currently, experts in Kazakhstan identify the following issues for rail transport: limited international transportation, limited technological development, insufficiently developed intermodal transportation, low level of transport and logistics services, incompetent number of vehicles and their outdated fleet. At the same time, logistics makes a significant contribution to GDP in developed countries, while it is still at a low level in Kazakhstan. The article discusses the fundamental changes in all technological and business processes in Kazakhstan’s railway transport, based on the introduction of new rolling stock, efficient technological infrastructure facilities, intelligent transportation process management systems and other technological and organizational innovations. The main feature of railway transport is that it affects the pace and scale of innovation activity at the enterprises of the industry, therefore railways belong to the infrastructure and are focused on their main maintenance. The necessity of these changes in increasing the competitiveness of enterprises in the target industry, increasing the efficiency of their functioning and investment attractiveness is being studied. In this context, one of the important and difficult tasks is to develop approaches to managing the development of innovation activity at the enterprises of the industry. A set of organizational and economic measures is considered in relation to railway transport enterprises by public administration bodies to manage the innovative development of transit transportation, the formation of internal and external conditions for the growth of innovative activity.

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Xu, Penghao, Zhengxing Peng, and Lu Deng. "Analysis of China's Intelligent Logistics Policies based on Text Mining." International Journal of Social Sciences and Public Administration 2, no. 3 (April 17, 2024): 19–31. http://dx.doi.org/10.62051/ijsspa.v2n3.03.

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Based on text mining technology, this paper provides a comprehensive analysis of China's intelligent logistics policies. Through the descriptive statistical analysis of the annual release volume, types and subjects of policy texts, the dynamic trends, dominant forms and major sectors of policy releases are revealed. Using the TF-IDF algorithm to extract keywords and combining with the LDA thematic model analysis, it is found that the key areas of the policies include: improving the service capacity of enterprises, cold chain logistics construction, supply chain synergy, green standardisation, etc., and the main paths of implementation are: deepening the reform, increasing the investment, optimising the layout, etc. to improve the quality, improving the coordinating mechanism, promoting the synergy through the innovative model, building the green assessment system, promoting new energy transportation, unifying the standard process, etc. to promote the low-carbon transport. The main implementation paths are to deepen reform, increase investment and optimise layout to improve quality, improve coordination mechanisms and innovate models to promote synergy, build a green assessment system, promote new energy transport and unify standard processes to promote low-carbon transformation. The policy will mobilise the participation of enterprises, the state and industry organisations, of which enterprises are the main innovators and applicators, the state provides strategic support and regulatory guidance, and industry organisations promote the implementation of the policy. At the same time, it focuses on international integration, encourages "going out", guides the participation of foreign capital, deepens cooperation and cultivates international competitiveness. Finally, it puts forward suggestions on top-level policy design, sectoral coordination, tool innovation, enterprise main body, social participation, policy evaluation and continuous investment.

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BOROWSKI, Piotr F. "EFFORTS OF THE TRANSPORT AND ENERGY SECTORS TOWARD RENEWABLE ENERGY FOR CLIMATE NEUTRALITY." Transport Problems 19, no. 2 (June 30, 2024): 170–90. http://dx.doi.org/10.20858/tp.2023.19.2.14.

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The integration and utilization of renewable energy sources in the energy and transport sectors are the main actions undertaken to attain climate neutrality by 2050. The connection and indication of the relations occurring in these two sectors constitute the novelty of the current research. Key actions include increasing the share of low- and zero-emission transport, such as electric cars, bicycles, trains, and buses; reducing emissions from aviation and shipping; and improving energy efficiency and transport safety by modernizing the vehicle fleet, introducing intelligent transport systems, applying emission and fuel quality standards, and promoting technological and digital innovation. A novel and significant aspect of the research is its comprehensive approach to key economic sectors that exert a profound influence on climate change. Through the conducted studies, it has been demonstrated what essential actions must be undertaken to transition towards a low or zero-emission economy. This paper points to a strong nexus between the transport sector, the energy sector, and climate change, underscoring the imperative for collaborative efforts and strategic initiatives among these sectors to address the pressing challenges associated with achieving climate neutrality.

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Wolf, Stefan, and Roman Korzynietz. "Innovation Needs for the Integration of Electric Vehicles into the Energy System." World Electric Vehicle Journal 10, no. 4 (November 12, 2019): 76. http://dx.doi.org/10.3390/wevj10040076.

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The mitigation of climate change and the substitution of fossil energy sources is one of the greatest tasks of our time. Electric mobility is the most promising solution to decarbonize the transport sector. As the market for electric vehicles is quickly gaining momentum, an urgent need for an intelligent integration of the energy and mobility system arises. This integration leads to a multitude of technical, economic and social challenges. Through a validated road-mapping process, the needs for future research, development, standardisation and regulation have been identified and visualised. Recommendations for action for decision-makers in politics and industry have been derived from those innovation needs. In summary, the most promising innovation path is the consequent application of smart and flexible charging concepts as well as an adaption of the regulations and roles in combination with the consequent usage of renewable energies. In five to ten years, also synergies through the exploitation of autonomous electric vehicles will gain momentum.

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Sabirova, Irina. "THE IMPACT OF INNOVATIVE TECHNOLOGIES ON THE EFFICIENCY OF RAILWAY SYSTEM MANAGEMENT." Vestnik BIST (Bashkir Institute of Social Technologies), no. 4(53) (December 29, 2021): 68–75. http://dx.doi.org/10.47598/2078-9025-2021-4-53-68-75.

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The article discusses the issues of introducing innovative technologies into the railway management system. The object of the study is the efficiency of management of railway systems. The subject of the research is innovative technologies and their impact on the effectiveness of railway systems management. The purpose of the work is to conduct a theoretical analysis of the impact of innovations on the efficiency of railway systems management and, using the example of large foreign railway systems, to determine the main factors of innovation efficiency. The scientific novelty of the presented work lies in the analysis of foreign experience in the development of effective management tools for railway systems in the context of innovation. The paper concludes that the future of the railway industry directly depends on the degree of its digitalization and technologization, the introduction of intelligent transport systems and active integration into the global space of innovative development.

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Grechan, Alla, and Danylo Sakhatskyi. "INNOVATIVE FACTORS IN THE DEVELOPMENT OF TRANSPORT ENTERPRISES." Automobile Roads and Road Construction, no. 114.1 (2023): 186–91. http://dx.doi.org/10.33744/0365-8171-2023-114.1-186-191.

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The purpose of the article is to research and analyze innovative factors that affect the development of enterprises in the transport sector based on the selection of key aspects and strategies that contribute to the successful implementation of innovations in the field of transport business. The peculiarities of the action of the main factors at the enterprises of the transport industry have been determined and researched, they include: the use of modern technologies, intelligent transport systems (ITS), environmental innovations, information management and analytics, electronic market platforms, robotics, automation and artificial intelligence, electronic payment systems, sustainability and security, development of ecosystems, self-driving cars and drones, effective management of labor resources. From the position of an integrated approach, all factors generally cover economic, technical, technological, social and environmental aspects. Their impact on the economic development of enterprises is considered through the focus on reducing costs, forming competitive advantages and increasing competitiveness, ensuring social and environmental effects. This is of particular importance for the adaptation and further development of industry enterprises in the conditions of the current military situation and future dynamic changes in the modern world. The study is based on current concepts of innovation and considers the specifics and features of the activities of transport enterprises.

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Azis, Abdul, Dwi Krisbiantoro, and Riyanto -. "Internet of Things (IoT) Innovation and Application to Intelligent Governance Systems: A Case Study on DISHUB for Transport Vehicles." JOIV : International Journal on Informatics Visualization 7, no. 1 (February 13, 2023): 193. http://dx.doi.org/10.30630/joiv.7.1.1282.

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Vehicles can be used to facilitate humans in carrying out their daily activities. Motorized vehicles are divided into 3: land, sea, and air. Apart from the many benefits that can be obtained, motorized vehicles have dangers related to high-risk accidents. The highest cause of motorized vehicle accidents on land is road damage due to overload vehicles. Brake failure due to overload vehicles also contributes to vehicle accidents. This research aims to create an Internet of Things (IoT) based application to detect motorized vehicle load conditions. It was combined with several other technologies to produce a tool for detecting motor vehicle load conditions. The Extreme Programming Method is being used in this research. The Extreme Programming method is considered more suitable for completing this research because the communication with stakeholders is quite different. The Extreme Programming Method enables it to go back to the next step if discrepancies are encountered in making the system. The result of this research is an IoT-based tool called e-overload. It can detect vehicle loads, provide information for the drivers, and inform the results to related officers at the same time. E-overload tool will enable the drivers to get real-time information on the load on their vehicles. Officers will get additional evidence and the latest position of the vehicle to carry out actions against motorists who operate their vehicles with excessive loads.

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Lilhore, Umesh Kumar, Agbotiname Lucky Imoize, Chun-Ta Li, Sarita Simaiya, Subhendu Kumar Pani, Nitin Goyal, Arun Kumar, and Cheng-Chi Lee. "Design and Implementation of an ML and IoT Based Adaptive Traffic-Management System for Smart Cities." Sensors 22, no. 8 (April 10, 2022): 2908. http://dx.doi.org/10.3390/s22082908.

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The rapid growth in the number of vehicles has led to traffic congestion, pollution, and delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation, moving the universe towards automated processes and intelligent management systems. This is a critical contribution to automation and smart civilizations. Effective and reliable congestion management and traffic control help save many precious resources. An IoT-based ITM system set of sensors is embedded in automatic vehicles and intelligent devices to recognize, obtain, and transmit data. Machine learning (ML) is another technique to improve the transport system. The existing transport-management solutions encounter several challenges resulting in traffic congestion, delay, and a high fatality rate. This research work presents the design and implementation of an Adaptive Traffic-management system (ATM) based on ML and IoT. The design of the proposed system is based on three essential entities: vehicle, infrastructure, and events. The design utilizes various scenarios to cover all the possible issues of the transport system. The proposed ATM system also utilizes the machine-learning-based DBSCAN clustering method to detect any accidental anomaly. The proposed ATM model constantly updates traffic signal schedules depending on traffic volume and estimated movements from nearby crossings. It significantly lowers traveling time by gradually moving automobiles across green signals and decreases traffic congestion by generating a better transition. The experiment outcomes reveal that the proposed ATM system significantly outperformed the conventional traffic-management strategy and will be a frontrunner for transportation planning in smart-city-based transport systems. The proposed ATM solution minimizes vehicle waiting times and congestion, reduces road accidents, and improves the overall journey experience.

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Dzemydienė, Dalė, Mindaugas Kurmis, and Vilija Baikštienė. "Possibilities to Support Heterogeneous Mobile Services in Vehicle Communication Networks." Informacijos mokslai 90 (December 28, 2020): 80–95. http://dx.doi.org/10.15388/im.2020.90.51.

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Research on the provision of heterogeneous services in the field of intelligent transport is of great interest in the rapidly changing infrastructure of road transport. In particular, the availability of such services has increased through the use of wireless technologies and communication tools. The current development of Information Communication Technologies (ICT) and the integration of intelligent transport platforms and service systems make it possible to significantly improve road safety and reduce the likelihood of road accidents. However, the delivery of mobile-smart services requires the development of a rather sophisticated infrastructure to support multicast services. The purpose of this scientific article is to analyze the data transmission capabilities for heterogeneous services while ensuring road safety. The paper deals with the tasks of evaluating the possibilities of integrating such mobile services into the infrastructure of motor vehicles. Measuring bandwidth by enabling multicast services on the base of Ad-hoc wireless networks becomes an important task. The demonstrated results illustrate the capabilities of wireless networks by simulating these services in a transport service generating environment. The paper demonstrates that high-quality heterogeneous services require new wireless network interaction protocols, such as a session initiation protocol (SIP), GPRS functionality, routing protocols, and channel access to provide a large number of supportive service components.

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Bazzi, Alessandro, Miguel Sepulcre, Quentin Delooz, Andreas Festag, Jonas Vogt, Horst Wieker, Friedbert Berens, and Paul Spaanderman. "Multi-Channel Operation for the Release 2 of ETSI Cooperative Intelligent Transport Systems." IEEE Communications Standards Magazine 8, no. 1 (March 2024): 28–35. http://dx.doi.org/10.1109/mcomstd.0001.2200080.

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Alharbi, Mada. "Intelligent Transport System based Blockchain to Preventing Routing Attacks." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 14, no. 1 (April 19, 2023): 126–43. http://dx.doi.org/10.58346/jowua.2023.i1.011.

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Pawłowska, Barbara. "Intelligent transport as a key component of implementation the sustainable development concept in smart cities." Transport Economics and Logistics 79 (October 23, 2018): 7–21. http://dx.doi.org/10.26881/etil.2018.79.01.

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European societies today face many sustainability challenges including but not limited to youth unemployment, aging populations, climate change, pollution, sustainable energy and migration. These problems are especially evident in cities. The objectives of smart development and integrated planning in European cities have been presented in the Europe 2020 strategy. It assumes restoration of European cities through stimulating innovation. In the socio-economic dimension, this means supporting the development of intelligent cities, often referred to as Smart Cities. According to the Smart City definition it is a city with the ability to adapt to the changing socio-economic conditions. This feature is extremely important in times of constant change. Progressing urbanization, globalization, technology transfer to everyday life and dwindling natural capital are the reasons why urban development is increasingly dependent on such factors as advanced technologies or territorial capital, understood as the available material and immaterial resources that determine the functioning of a given area. One of the Smart City components is intelligent transport. Improving mobility, ensuring accessibility and decreasing traffic congestion are some of the greatest challenges facing smart cities today. To respond to these challenges many city planners are glancing at smart transport solutions to reduce congestion as well as to optimize the use of city public transport. The aim of this article is to identify the challenges faced by European cities nowadays, present transport as a component of the Smart City and show its role in implementing the Smart City concept. The author presents European actions in terms of city mobility and recognizes their role in attaining the 11th SDG. Particular attention is paid to cities of the new Member States. Some examples of activities undertaken and tools used by authorities of European cities will be cited as examples of good practices. An analysis of the conditions for the transferability of such a solution will be included in the article.

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Tuominen, Anu, and Toni Ahlqvist. "Is the transport system becoming ubiquitous? Socio-technical roadmapping as a tool for integrating the development of transport policies and intelligent transport systems and services in Finland." Technological Forecasting and Social Change 77, no. 1 (January 2010): 120–34. http://dx.doi.org/10.1016/j.techfore.2009.06.001.

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Barrile, Vincenzo, Fabio La Foresta, and Emanuela Genovese. "Optimizing Unmanned Aerial Vehicle Electronics: Advanced Charging Systems and Data Transmission Solutions." Electronics 13, no. 16 (August 13, 2024): 3208. http://dx.doi.org/10.3390/electronics13163208.

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Interest in Unmanned Aerial Vehicles (UAVs) has been increasingly growing in recent years, especially for purposes other than those for which they were initially used (civil and military purposes). Currently, in fact, they are used for advanced monitoring and control purposes, for 3D reconstructions of the territory and cultural heritage, and for freight transport. The problem in using these systems consists of the limited flight autonomy. In fact, commercially used drones, today, are sold with a set of batteries of limited duration which do not allow flights over large areas and, therefore, detailed surveys. The present work seeks to overcome these limitations by proposing an intelligent automatic charging system (Intelligent Charging Network) created using PC Engines Alix and an experimental drone prototype using a Raspberry Pi 3 and a Navio 2 module. At the same time, an efficient Intelligent Charging Network–drone communication system and a data transmission system are proposed, which allow images acquired by the drone to be transferred directly to the server used for data storage for their subsequent processing as well as the transmission of the flight plan from the QGroundControl application to the drone. The proposed system represents technological innovation in the field of drones with potential future developments linked to the implementation of sustainable drones.

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Brzozowska, Weronika, Myroslav Sprynskyy, Izabela Wojtczak, Przemysław Dąbek, Andrzej Witkowski, and Bogusław Buszewski. "“Outsourcing” Diatoms in Fabrication of Metal-Doped 3D Biosilica." Materials 13, no. 11 (June 5, 2020): 2576. http://dx.doi.org/10.3390/ma13112576.

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Diatoms have an ability that is unique among the unicellular photoautotrophic organisms to synthesize an intricately ornamented siliceous (biosilica) exoskeleton with an ordered, hierarchical, three-dimensional structure on a micro- to nanoscale. The unique morphological, structural, mechanical, transport, photonic, and optoelectronic properties of diatomaceous biosilica make it a desirable material for modern technologies. This review presents a summary and discussion of published research on the metabolic insertion of chemical elements with specific functional activity into diatomaceous biosilica. Included in the review is research on innovation in methods of synthesis of a new generation of functional siliceous materials, where the synthesis process is “outsourced” to intelligent microorganisms, referred to here as microtechnologists, by providing them with appropriate conditions and reagents.

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Prokudin, Georgii, Myroslav Oliskevych, Alexey Chupaylenko, and Olexiy Dudnik. "Development of vehicle speed forecasting method for intelligent highway transport system." Eastern-European Journal of Enterprise Technologies 4, no. 3 (100) (July 26, 2019): 6–14. http://dx.doi.org/10.15587/1729-4061.2019.174255.

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Huh, Jun-Ho, and Seong-Kyu Kim. "The Blockchain Consensus Algorithm for Viable Management of New and Renewable Energies." Sustainability 11, no. 11 (June 6, 2019): 3184. http://dx.doi.org/10.3390/su11113184.

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Efficient information flow in an intelligent system is vital for effectively controlling the entire system. Currently, intelligent systems are used in many industries related to energy production, sustainable agriculture/transport, and intelligent building/cities. Information technology (IT) and information and communication technologies (ICT) play vital roles in introducing technical or technological innovation in these industries as well as establishing a collaborative network. Also, the digitization of existing systems has been quite effective at creating a sustainable global environment as it allows more efficient and well-balanced control of socio-economic factors. However, it has become clear that adopting an intelligent system to achieve innovation, sustainability, and safety may well depend on the quality of the algorithms to be used for that very system. Despite recent controversies, new and renewable energies are considered as a realistic alternative to fossil fuels, which have been integral to modern industries but are regarded as a cause of environmental or economic problems, not to mention their limited deposits. Therefore, since renewable energies will gradually replace existing energy sources but require more time to be fully available, it is essential to find a method of managing them in a fair and transparent way. The United States, Japan, and some European countries are attempting to achieve such a goal by utilizing a blockchain system, but the issues pertaining to its functionality, security, or efficiency have yet to be addressed. This study introduces a viable consensus algorithm (Hyper Delegation Proof of Randomness, or HDPoR algorithm) for blockchain and attempts to validate its parallel computing capability through simulations. This study also attempts to design an efficient but secure peer-to-peer (P2P) transaction service model for these energies for the future where blockchain-based systems will hold a key position in the digitalized world. As its main contribution, this study introduces an effective method of applying blockchain to a new and renewable energy transaction system by presenting a consensus algorithm that can improve its infrastructure and performance.

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Feitosa, Ianca, Bertha Santos, and Pedro G. Almeida. "Pavement Inspection in Transport Infrastructures Using Unmanned Aerial Vehicles (UAVs)." Sustainability 16, no. 5 (March 6, 2024): 2207. http://dx.doi.org/10.3390/su16052207.

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The growing demand for the transportation of goods and people has led to an increasing reliance on transportation infrastructure, which, in turn, subjects the pavements to high traffic volumes. In order to maintain adequate service and safety standards for users, it is essential to establish effective maintenance strategies that ensure the preservation of pavement conditions. As a result, emerging innovations in pavement surface inspection methods, surpassing traditional techniques in terms of inspection and data processing speed and accuracy, have garnered significant attention. One such groundbreaking innovation in inspection systems that has been tested and used in recent years to assess infrastructure condition is the use of unmanned aerial vehicles (UAVs). This study aims to present a critical open-access literature review on the use of UAVs in the inspection of transportation infrastructure pavement in order to assess the type of equipment used, the technology involved, applicability conditions, data processing, and future evolution. The analysis of relevant literature suggests that the integration of intelligent technologies substantially enhances the accuracy of data collection and the detection of pavement distress. Furthermore, it is evident that most applications and research efforts are oriented towards exploring image processing techniques for the creation of 3D pavement models and distress detection and classification.

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Babkin, Ivan, Olga Pisareva, Andrey Starikovskiy, Makhmudova Guljakhon, and Yulia Anoshina. "Justification of an Integrated Approach to Ensuring Information Security of Unmanned Vehicles in Intelligent Transport Systems." International Journal of Technology 12, no. 7 (December 23, 2021): 1407. http://dx.doi.org/10.14716/ijtech.v12i7.5399.

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Guzal-Dec, Danuta. "Intelligent Development of the Countryside – The Concept of Smart Villages: Assumptions, Possibilities and Implementation Limitations." Economic and Regional Studies / Studia Ekonomiczne i Regionalne 11, no. 3 (September 1, 2018): 32–49. http://dx.doi.org/10.2478/ers-2018-0023.

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SummarySubject and purpose of work: The article presents the concept of smart villages formulated in EU documents. Its purpose is to characterize the concept of smart villages - its assumptions, possibilities and implementation limitations.Materials and methods: Literature studies and the analysis of documents.Results: A comparative analysis of the smart villages and smart city concept was performed. The theoretical foundations and the determinants of its implementation were discussed.Conclusions: The concept of smart villages provides an answer to the search for ways of implementing the concept of sustainable development. The concept is in the initial phase of its formulation and application. It is intended to strengthen the territorial capital of the countryside, while social and technological innovations are a tool for its implementation. Among the barriers to implementing this concept the following ones have to be mentioned: low openness of the rural community to change, low innovation capacity and low level of social capital, low capacity of the local markets, spatial distance, poorly developed transport and communication network.

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Mainzer, Klaus. "Technology Foresight and Sustainable Innovation Development in the Complex Dynamical Systems View." Foresight and STI Governance 14, no. 4 (December 15, 2020): 10–19. http://dx.doi.org/10.17323/2500-2597.2020.4.10.19.

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Information and communication technologies (ICT) which are transforming most areas develop non-linearly. Failure to take into account the nonlinear principles of complex dynamic systems hinders development of balanced innovation strategies. Companies and governments lose the ability to effectively respond to “grand challenges”. The linear approach does not allow covering a wide range of critical areas simultaneously in the scope of Foresight projects, prevents from applying an interdisciplinary approach to developing innovation strategies, correct risks assessment, and making informed decisions. The paper proposes a solution: management based on “cyber-physical systems” (CPS) built on dynamic complexity and nonlinearity principles. Such systems not only integrate computing and physical action but are embedded in everyday environment; they are more than the sum of multiple intelligent computing devices. CPS transforms into collective social systems, integrate information, energy, and material flows, and adapt to physical processes. Cyber-physical systems can offer a sustainable information infrastructure which serves as a prerequisite for building up the innovation potential of a company, region, or country. They make it possible to analyse all stages of an innovation project from the technical and organisational points of view simultaneously, cover all possible social consequences and challenges, and identify unexpected promising developments. CPS have a decentralised structure which allows to solve complex problems and manage large and complex structures in real time, such as an energy grid, transport, smart city, healthcare, etc.

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Karpenko, Oksana. "FORMATION OF TRANSPORT AND LOGISTICS CLUSTERS AS AN EFFECTIVE TOOL FOR ENSURING SUSTAINABLE DEVELOPMENT OF TRANSPORT." Collection of scientific research papers State University of Infrastructure and Technologies Section “Economics and Management”, no. 55 (June 28, 2024): 24–30. http://dx.doi.org/10.32703/2664-2964-2024-55-24-30.

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The formation of transport and logistics clusters is an effective tool for ensuring sustainable transport development. They help to increase efficiency, reduce costs, introduce innovations and reduce environmental impact. For the successful development of transport and logistics clusters, it is necessary to take into account modern challenges and actively use the latest technologies and innovative approaches. The article is devoted to the study of the role of transport and logistics clusters in ensuring sustainable development of transport. To achieve this goal, an analytical review of data from various sources was conducted to identify the relationship between the formation of transport and logistics clusters and sustainable development. It was found that today the most serious challenge facing the transport sector is to significantly reduceemissions and increase sustainability. The European Green Deal, an EU action program centered on an ambitious plan to transition to a climate-neutral Europe by 2050, is studied. Nine areas of the European Green Deal are identified. The main areas of innovation in transport are identified (electric transport, autonomous vehicles, hydrogen fuel cells, intelligent transport systems, hyperloop). The proposals set out in three White Papers of the European Union are highlighted. It is confirmed that the formation of transport and logistics clusters can be an effective tool for ensuring sustainable development of transport through the development and application of innovative technologies. It has been determined that the formation and functioning of clusters on the principles of social responsibility is an objective necessity for the development of the economy and society.In this regard, the main goal of organizing and operating a clusteron the principles of social responsibility shoud simunltaneously include requirements to ensure economic and social development, and to achieve the welfare of partnerts and society as a whole. The results of the study can be used to substantiate the feasibility of forming transport and logistics clusters as a tool for ensuring sustainable development.

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Kubíková, Ľubomíra, and Stanislav Rudý. "Identification of Slovak Tourists’ Attitudes Towards Digitalization for Circular Economy and Waste Management." Proceedings of the International Conference on Business Excellence 18, no. 1 (June 1, 2024): 856–69. http://dx.doi.org/10.2478/picbe-2024-0075.

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Abstract The research paper explores the perspectives of a chosen group of Slovak tourists on how digitization drives circular economy practices and promotes efficient waste management in tourism. The study involves data from 103 participants, who expressed their opinions on sustainability concepts like digitization, innovation, circular economy, and waste management in tourism, using a 5-point Likert scale. The research’s main objective is to understand sentiments and attitudes towards integrating digitization and innovation for sustainable practices in the tourism sector. The findings reveal differences in attitudes among respondents. Visual aids like box plots are utilized to help interpret the results and emphasize how factors like interest in new technologies impact respondents’ attitudes. Implementing digital technologies in tourism plays a key role in creating efficient waste management systems and reducing the environmental burden. Data tracking and processing systems enable detailed analysis of waste generation patterns, providing valuable information to optimize collection and recycling processes. Digital technologies contribute to the overall reduction of the impact of tourism on the environment through electronic reservations, intelligent transport systems and other innovative solutions. These initiatives increase waste management efficiency and minimise tourism’s negative ecological impact, contributing to more sustainable and ecologically responsible tourism.

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Xiao, Dongyang. "Key Technologies for Automatic Driving Function Implementation." Frontiers in Computing and Intelligent Systems 4, no. 3 (July 20, 2023): 144–46. http://dx.doi.org/10.54097/fcis.v4i3.11271.

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Along with the application of electronic cars and advanced technology, the rapid development of intelligent driving and automatic driving as an important auxiliary driving technology is a more advanced stage, will be the future of transport is an important mode of transportation, the autopilot has now become the country and extremely and hot research topic in the world. Especially in recent years, autonomous driving has made great progress through technological innovation. This article provides an overview of the history and key technologies of autonomous driving, which today promises a safe, comfortable and efficient driving experience. In recent years, the field of artificial intelligence has made great strides in computer vision, machine learning and self-driving cars. As with any fast-moving field, it's getting harder and harder for a beginner to keep up with technology or get into it.

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Volkov, Oleksandr, Mykola Komar, and Dmytro Volosheniuk. "Devising an image processing method for transport infrastructure monitoring systems." Eastern-European Journal of Enterprise Technologies 4, no. 2(112) (August 31, 2021): 18–25. http://dx.doi.org/10.15587/1729-4061.2021.239084.

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Identifying and categorizing contours in images is important in many areas of computer vision. Examples include such operational tasks solved by using unmanned aerial vehicles as dynamic monitoring of the condition of transport infrastructure, in particular road markings. This study has established that current methods of image contour analysis do not produce clear and reliable results when solving the task of monitoring the state of road markings. Therefore, it is a relevant scientific and applied task to improve the methods and models of filtration, processing of binary images, and qualitative and meaningful separation of the boundaries of objects of interest. To solve the task of highlighting road marking contours on images acquired from an unmanned aerial vehicle, a method has been devised that includes an operational tool for image preprocessing – a combined filter. The method has several advantages and eliminates the limitations of known methods in determining the boundaries of the location of the object of interest, by highlighting the contours of a cluster of points using histograms. The method and procedures reported here make it possible to successfully solve problems that are largely similar to those that an expert person can face when solving intelligent tasks of processing and filtering information. The proposed method was verified at an enterprise producing the Ukrainian unmanned aerial vehicle "Spectator" during tests of information technology of dynamic monitoring of the state of transport infrastructure. The results could be implemented in promising intelligent control systems in the field of modeling human conscious behavior when sorting data required for the perception of environmental features

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Oleksiuk, Adam. "Wyzwania rozwojowe Polski w okresie programowania 2014–2020 w kontekście unijnej polityki spójności ze szczególnym uwzględnieniem infrastruktury transportowej i inteligentnego rozwoju." Przegląd Wschodnioeuropejski 9, no. 1 (June 1, 2018): 65–81. http://dx.doi.org/10.31648/pw.3366.

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The paper discusses the use of EU funds in the field of transport infrastructure andsmart development. It was pointed out that the distance in the level of economic developmentdividing Polish regions from the EU average is gradually decreasing, and the use of EU fundshelps all Polish regions to approach the average level of development of the EU. Although theconvergence process is uneven, it has been pointed out that the funds available under cohesionpolicy, allow, to a certain extent, to stop the process of regional diversifying in the regions.An analysis of the benefits Poland gained from the cohesion policy in the field of transportinfrastructure and intelligent development is presented . The possibilities of support fromstructural funds in the scope of investments aimed, among others, at strengthening research,technological development and innovation were studied in this paper. The EU strategicdocuments pertaining to the above-mentioned areas were also reviewed in in this study.

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G. Meyer, Gerben, Paul Buijs, Nick B. Szirbik, and J. C. (Hans) Wortmann. "Intelligent products for enhancing the utilization of tracking technology in transportation." International Journal of Operations & Production Management 34, no. 4 (April 1, 2014): 422–46. http://dx.doi.org/10.1108/ijopm-11-2012-0530.

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Purpose – Many transportation companies struggle to effectively utilize the information provided by tracking technology for performing operational control. The research as presented in this paper aims to identify the problems underlying the inability to utilize tracking technology within this context. Moreover, this paper aims to contribute to solving these problems by proposing a set of design principles based on the concept of intelligent products. Design/methodology/approach – The study as described in this paper adopts a design science research methodology consisting of three phases. First, a case study in a transportation company has been performed to identify the problems faced when utilizing tracking technology. Second, to overcome these problems, a set of design principles has been formulated. Finally, a prototype system based on the design principles has been developed and subjected to experimental and observational evaluation. Findings – This paper identifies the problems associated with the utilization of tracking technology for the control of transport operations. Moreover, the proposed design principles support the development of information systems which overcome the identified problems and thereby enhance the utilization of tracking technology in a transportation context. Originality/value – The commonly held perception that tracking technology will improve the ability to perform operational control does not unequivocally stand up to empirical scrutiny. While it is widely demonstrated that tracking technology is able to accurately capture the detailed operational information, it remains a fundamental challenge to transform this abundance of information into accurate and timely control decisions. This research provides a valuable contribution with respect to tackling this challenge, by identifying problems and providing solutions related to the utilization of readily available tracking technology.

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Palkina, Elena S. "Intellectual capital formation in new economic space based on high-speed transport systems." Transportation systems and technology 2, no. 4 (December 15, 2016): 128–38. http://dx.doi.org/10.17816/transsyst201624128-138.

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Introduction: The competitiveness of national transport systems in the global economy is primarily determined by their innovativeness, which influences the quality, cost of transport services and, as a consequence, the degree of customer satisfaction. The innovative capacity of an economic agent, in turn, depends largely on the size and quality of intellectual capital. Method: The "Economics of Transport of high speeds". Result: In modern Russia the vector of transport system innovation development is determined by such an important indicator of the transportation process, as the delivery time of goods and passengers. An obvious consequence of the actualization of this vector of development of national transport system is the need of the Russian economy in its own personnel and scientific support for high-speed traffic development projects. One of the leading transport universities of the Russian Federation, training industry experts, is the Petersburg State Transport University. Scientific and personnel potential of the University can be successfully used in the formation of the Eurasian economic space high-tech network of high-speed traffic. Since 2015, in order to generate the intellectual capital for the Russian transport industry development, needed for creation of the national competitive innovative transport system, a new master's program "High-speed transport economics" has been implemented on the basis of the Transportation Economics Department, the PGUPS. This program is aimed at proactive quality training of competitive highly qualified specialists with innovative thinking, modern in-depth knowledge, skills and competences in the field of economics and management of transport companies (all modes of transport). Conclusion: The socio-economic impact as a result of the implementation of the program is that the use of intellectual capital and organizational and managerial skills of its graduates for creation in Russia the competitive high-speed intelligent transport system will help to speed up delivery of goods and passengers, increase population mobility, enhance the economic and socio-cultural integration of the regions of the country, the sustainable territorial development of Russia, growth of labor productivity, improvement of transport services quality, the competitiveness of the national transport system in the global market of transport services, increase the use of transport-transit potential of the Russian Federation, its budget revenues from the export of transport services.

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Leontev, Mikhail. "Reasons of university students' susceptibility to intelligent mobility and the use of mobility-as-a-service schemes." E3S Web of Conferences 376 (2023): 04017. http://dx.doi.org/10.1051/e3sconf/202337604017.

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The transition from the current transportation system to intelligent mobility and the MaaS concept, through the introduction of Big Data analytics and digital innovation, is underway. Perceptions, attitudes and other internal factors often have a significant impact on the choice of human behavior in transportation. This paper discussed the characteristics of vehicle choice by type and depending on the goal of the trip. Private car drivers noted that they choose a car mainly because of accessibility, flexibility of use, safety and comfort. For public transportation passengers, safety and cost of travel were determining factors in their choice of public transportation. The main differences between trips with different goals were found for the indicators "time of a trip", "company trip", and "prestige". The results show that there is a positive perception of intellectual mobility among student youth, a tendency to switch from owning vehicles to other ways of using them and participating in MaaS schemes. It can be concluded that MaaS is positively perceived by the young generation of students. Based on the data obtained, proposals for the directions of sustainable development of urban public transport are made.

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Journal articles on the topic 'Systèmes de transport intelligent – Innovation'

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