Journal articles on the topic 'Future generation intelligent transport system'
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Ahn, Jinsoo, Young Kim, and Ronny Kim. "A Novel WLAN Vehicle-To-Anything (V2X) Channel Access Scheme for IEEE 802.11p-Based Next-Generation Connected Car Networks." Applied Sciences 8, no. 11 (November 1, 2018): 2112. http://dx.doi.org/10.3390/app8112112.
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To support a massive number of connected cars, a novel channel access scheme for next-generation vehicle-to-anything (V2X) systems is proposed in this paper. In the design of the proposed scheme, two essential aspects are carefully considered: backward compatibility and massive V2X support. Since IEEE 802.11p-based V2X networks are already being deployed and used for intelligent transport systems, next-generation V2X shall be designed considering IEEE 802.11p-based V2X networks to provide backward compatibility. Since all future cars are expected to be equipped with a V2X communication device, a dense V2X communication scenario will be common and massive V2X communication support will be required. In the proposed scheme, IEEE 802.11-based extension is employed to provide backward compatibility and the emerging IEEE 802.11ax standard-based orthogonal frequency-division multiple access is adopted and extended to provide massive V2X support. The proposed scheme is further extended with a dedicated V2X channel and a scheduled V2X channel access to ensure high capacity and low latency to meet the requirements of the future V2X communication systems. To demonstrate the performance of the proposed scheme thoroughly and rigorously, the proposed scheme is mathematically analyzed using a Markov model and extensive simulations are performed. In the dense V2X communication networks of the future, the proposed V2X communication scheme will provide high performance and reliability.
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Tahir, Muhammad Naeem, Kari Mäenpää, and Timo Sukuvaara. "Performace Evaluation of Vehicular Communication." Transport and Telecommunication Journal 21, no. 3 (June 1, 2020): 171–80. http://dx.doi.org/10.2478/ttj-2020-0013.
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AbstractModern societies are built on good road infra-structure and efficient transport system. Safety is a high-priority consideration in development of road traffic systems. In recent years the weather information has become becomes very vital for road traffic safety because slippery roads are the key source of road accidents in northern regions of Europe, America and Canada as well. In this article we are presenting the test experiences and pilot road weather related services by executing a set of Vehicle to Infrastructure (V2I) communication scenarios by using IEEE 802.11p and 5G test networks. We have made an effort to evaluate the performance of IEEE 802.11p and 3GPP (3rd Generation Partnership Project) 5G test network. We also analyzed the performance of IEEE 802.11p with and without safety feature for secure and reliable vehicular communication. The combination of IEEE 802.11p with 5G test network cellular network makes the traffic system heterogeneous for traffic safety. This heterogeneous system provides the opportunity to exploit the vehicle-based actuators, sensor, and observation data in order to produce the intelligent service platform and up-to-date real time services for vehicles.In this article we have also made a comparison by using an IEEE 802.11p system having safety feature of SafeCOP (Safe Co-operating Cyber-Physical Systems using Wireless Communication) project. SafeCOP is a European project that aims cyber-physical systems-of-systems relying on wireless communication for safe and secure cooperation. This safety feature will help to decrease the amount of road accidents (Car crashes, injuries and fatalities) by offering safe and secure V2V and V2I co-operation. The fundamental advantage of this kind of performance analysis is that the communication between Vehicle-to-Road Weather station (V2RWS) can be exchanged safely and reliably, at the cost of network resources consumed by a safety feature in IEEE 802.11p. It’s clearly presented in this paper, that the use of heterogeneous network and SafeCOP feature for vehicular networking has a clear potential in near future for vehicle’s safety and security of vehicular network.
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De Kooning, Jeroen D. M., Dimitar Bozalakov, and Lieven Vandevelde. "Discrete Time Domain Modeling and Control of a Grid-Connected Four-Wire Split-Link Converter." Electronics 10, no. 4 (February 21, 2021): 506. http://dx.doi.org/10.3390/electronics10040506.
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Distributed generation (DG) allows the production of renewable energy where it is consumed, avoiding transport losses. It is envisioned that future DG units will become more intelligent, not just injecting power into the grid but also actively improving the power quality by means of active power filtering techniques. In this manner, voltage and current harmonics, voltage unbalance or over-voltages can be mitigated. To achieve such a smart DG unit, an appropriate multi-functional converter topology is required, with full control over the currents exchanged with the grid, including the neutral-wire current. For this purpose, this article studies the three-phase four-wire split-link converter. A known problem of the split-link converter is voltage unbalance of the bus capacitors. This mid-point can be balanced either by injecting additional zero-sequence currents into the grid, which return through the neutral wire, or by injecting a compensating current into the mid-point with an additional half-bridge chopper. For both methods, this article presents a discrete time domain model to allow controller design and implementation in digital control. Both techniques are validated and compared by means of simulation results and experiments on a test setup.
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U.J Phatak, U. J. Phatak, Nivedita Kaushik Nivedita Kaushik, Lintu Abraham, Sudeep Mitra, and Sagar Dalal. "Intelligent Transport System: A Sustainable Future Prospect." International Journal of Scientific Research 3, no. 4 (June 1, 2012): 157–58. http://dx.doi.org/10.15373/22778179/apr2014/54.
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Nguyen, Dinh Dung, József Rohács, Dániel Rohács, and Anita Boros. "Intelligent Total Transportation Management System for Future Smart Cities." Applied Sciences 10, no. 24 (December 14, 2020): 8933. http://dx.doi.org/10.3390/app10248933.
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Smart mobility and transportation, in general, are significant elements of smart cities, which account for more than 25% of the total energy consumption related to smart cities. Smart transportation has seven essential sections: leisure, private, public, business, freight, product distribution, and special transport. From the management point of view, transportation can be classified as passive or non-cooperating, semi-active or simple cooperating, active or cooperating, contract-based, and priority transportation. This approach can be applied to public transport and even to passengers of public transport. The transportation system can be widely observed, analyzed, and managed using an extensive distribution network of sensors and actuators integrated into an Internet of Things (IoT) system. The paper briefly discusses the benefits that the IoT can offer for smart city transportation management. It deals with the use of a hierarchical approach to total transportation management, namely, defines the concept, methodology, and required sub-model developments, which describes the total system optimization problems; gives the possible system and methodology of the total transportation management; and demonstrates the required sub-model developments by examples of car-following models, formation motion, obstacle avoidances, and the total management system implementation. It also introduces a preliminary evaluation of the proposed concept relative to the existing systems.
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Schulz, Wolfgang, and Isabella Geis. "Future role of cost–benefit analysis in intelligent transport system-research." IET Intelligent Transport Systems 9, no. 6 (August 1, 2015): 626–32. http://dx.doi.org/10.1049/iet-its.2014.0203.
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Mendoza, Alberto, and Antonio García. "Potential Applications of Intelligent Transportation Systems to Road Freight Transport in Mexico." Transportation Research Record: Journal of the Transportation Research Board 1707, no. 1 (January 2000): 81–85. http://dx.doi.org/10.3141/1707-10.
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In the past few years, tools have been developed based on different communication means with the purpose of achieving a safer, more efficient, and environment-friendly operation of vehicular flows in the transport systems. Some of the early means generally involved a very strong human participation. In the course of time and with the rapid progress made in electronics, telecommunications, and computer systems, such processes have become automated until generating a series of technologies that currently are incorporated into the single generic term of intelligent transportation systems (ITS). This research has multiple purposes. First, some characteristics of road freight transport in Mexico are presented. Then, with such characteristics under consideration, the ITS technologies with the largest potential for application to that transportation type are described. A vision of future implementation is shown. Finally, some conclusions are presented.
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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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Liu, Jia Lu, Guang Yang, Hong Hao Wang, and Wei Min. "Scheme of Intelligent Building Based on Distributed Generation and Micro-Grid." Advanced Materials Research 614-615 (December 2012): 1851–54. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.1851.
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The scheme of intelligent Building based on distributed generation and micro-grid is presented in this paper. There are five parts in the scheme: distributed generation, storage device, charge-discharge device of EV, micro-grid control and energy management system, smart home system. The scheme of the intelligent building in this paper has been realized in displayed project of intelligent community in china. The feasibility of establishing a micro grid system at the branch of power grid is analyzed after evaluating the performance of the micro grid system on saving power, reducing cost in transmit line, and increasing the security. Due to the analysis, this micro system has good performance in these aspects and has a great future in the power grid.
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Yutong, Qi, Ju Hang, Jing Rui Chen, and P. S. Joseph Ng. "The Impact of Smart Glasses on a New Generation of Users." International Journal of Business Strategy and Automation 2, no. 4 (October 2021): 1–25. http://dx.doi.org/10.4018/ijbsa.286776.
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The intelligent glasses are similar to the smart phone, which possess independent operational system. And it can use diverse functions and applications by installing software, Meanwhile the intelligent glasses also are regarded as one of popular intelligent equipment in the resent years. The intelligent glasses are in an early stage of development, So there are some core hardware and application field, which still be researching and exploring continually, But its development will be quite rapid and the scale of market also is expanding continually in near future. The intelligent glasses have a more higher requirement for the quality of data transmission. With the advent of 5G time, The experience and significance of intelligent glasses will be increase sharply.
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Choosakun, Aroonrot, Yaowapa Chaiittipornwong, and Chunho Yeom. "Development of the Cooperative Intelligent Transport System in Thailand: A Prospective Approach." Infrastructures 6, no. 3 (March 7, 2021): 36. http://dx.doi.org/10.3390/infrastructures6030036.
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Smart mobility is becoming an alternative technology of transportation development for today and the future. Thailand has applied the intelligent transport system (ITS) to improve traffic and transport services. The success of the project is generally dependent on collaboration between private, public, and governmental agencies in policymaking and planning, coupled with an inclusive agreement and technological knowledge in the field. This study argues that Thailand’s automatic transportation has been successful because of cooperative-ITS (C-ITS). This study explores the evidence-based cases of ITS development from six areas, Singapore, South Korea, Japan, China, the European Union, and the United States of America, to explain how the C-ITS conditions support the success of ITS. The study uses the SWOT (Strength, Weakness, Opportunity, Threat) and TOWS (Threat, Opportunity, Weakness, Strength) analysis matrix to identify influential factors from the six-area cases and compare them to Thailand. The authors identified seven components that relate to the success of Thailand’s C-ITS. These include: (1) Pragmatic policy for pilot project implementation; (2) close cooperation among stakeholders; (3) working criteria for C-ITS development; (4) architecture of standard and framework; (5) share of lessons learned about current technology; (6) capability of C-ITS deployment; and (7) a clear statement of data exchange and sharing. These findings represent both the threat and opportunity for traffic and transport improvement in Thailand through the C-ITS approach.
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Ran, Bin, Peter J. Jin, David Boyce, Tony Z. Qiu, and Yang Cheng. "Perspectives on Future Transportation Research: Impact of Intelligent Transportation System Technologies on Next-Generation Transportation Modeling." Journal of Intelligent Transportation Systems 16, no. 4 (July 12, 2012): 226–42. http://dx.doi.org/10.1080/15472450.2012.710158.
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Bilski, Piotr, and Simon Rabarijoely. "Automated soil profile generation system for the dilatometer test (DMT)." Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation 41, no. 2 (January 1, 2009): 119–30. http://dx.doi.org/10.2478/v10060-008-0055-9.
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Automated soil profile generation system for the dilatometer test (DMT) The paper presents an automated method of the soil profile generation using the soft computing method. This method can be used as the main source of knowledge for the future soil classification module, which will be able to identify geotechnical layers without the interaction with the user. The method uses a graph clustering algorithm, which groups together measurements from the Dilatometer Test. The histogram-based similarity measure is used to automatically adjust number of generated categories (soil geotechnical layers). Test site, algorithm and its application to the generation of soil profiles in the Warsaw University of Life Sciences campus are described. Results are discussed to provide a more general insight into application of intelligent algorithms into the geotechnical data analysis.
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Xu, Yiling, Hao Chen, Wenjun Zhang, and Jenq-Neng Hwang. "Smart Media Transport: A Burgeoning Intelligent System for Next Generation Multimedia Convergence Service Over Heterogeneous Networks in China." IEEE MultiMedia 26, no. 3 (July 1, 2019): 79–91. http://dx.doi.org/10.1109/mmul.2019.2933684.
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Zhang, Jian Xing, Yu Zhang, Zhi Hui Cao, Jin Song Liu, and Xin Xin Gu. "A Comprehensive Dispatch Management System for Distributed Generation Based on Cloud-Computing Technology." Applied Mechanics and Materials 716-717 (December 2014): 1156–61. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.1156.
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At present, China has built a number of DG (distributed power generation) demonstration projects as part of intelligent cities, intelligent business parks, university campuses and residential areas. The interaction mechanism, among DGs-especially those with energy storage, the users and the distribution grid need to be clear; i.e. how to unify the coordination among solar power systems, small wind power generation systems, the battery energy reserve systems, and electrical vehicles, so as to optimize resources allocation, cut peak and compensate trough loads; how to enable future homes and business users has more flexibility, controllability on electricity usage thus to advance the technology development in the field of electricity usage. The above mentioned problems can be solved smoothly by researching on the comprehensive use of modern power electronic technologies, communication technologies, computer and network technologies, advanced sensor and measurement & control technology, to combine them together for monitoring, protection control, cloud computing , and management of power supply department for active distribution network after DG access, to constitute the comprehensive dispatching system based on the DG of cloud computing. Dispatching of DG for distance dispersion location and a huge number of terms, to based on the cloud computing is very cost-effective, and it is worthy of further study and application.
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Zhang, Haomin, and Yuzhe Wu. "Design of intelligent and efficient water and electricity cogeneration equipment." E3S Web of Conferences 165 (2020): 01002. http://dx.doi.org/10.1051/e3sconf/202016501002.
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The solar steam generation system studied in this project is mainly composed of a double-layered structure. The upper layer is a nano-fluid material with a light absorber, and the lower layer is an insulating material with two-dimensional or three-dimensional water transport channels. It is hydrophilic to utilize capillary forces and promote Fluid flows to the hot zone, and interconnected pores are used for fluid inflow and outflow to the structure. The device embeds a semiconductor temperature difference power generation sheet in the lower layer, the upper surface is in contact with the photothermal layer, and the lower surface is in contact with the bulk water. The formation of a temperature difference generates an electromotive force, which makes the energy utilization efficiency higher.
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Schlingensiepen, Jörn, Rashid Mehmood, and Florin Codrut Nemtanu. "Framework for an Autonomic Transport System in Smart Cities." Cybernetics and Information Technologies 15, no. 5 (April 1, 2015): 50–62. http://dx.doi.org/10.1515/cait-2015-0016.
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Abstract Today the concept of smart cities is discussed in scientific society and politics. A core function of smart cities is transportation. This paper gives a short overview on the concepts for Intelligent Transport Systems (ITS) for smart cities and proposes a framework for the design of an autonomic transportation system that provides personalized mobility services to its users in a smart city setting. The transportation poses extreme environment for ICT systems due to fast moving vehicles and users, requiring real-time acquisition and high performance processing of large scale data, and rapidly changing communication networks topologies and node densities. The aim of this paper is to propose a framework that will act as a reference for the design of future transportation systems that are able to cope with the ever rising system complexities and users’ demands. Therefore, a backbone system providing information at different levels was designed following the principles of a corporative ICT that were proposed in [1]. The framework fulfills the main requirement providing suitable information about the local decision engines in vehicles and infrastructure interacting in smart cities traffic systems.
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Chen, Xiao, Martin A. Eder, Asm Shihavuddin, and Dan Zheng. "A Human-Cyber-Physical System toward Intelligent Wind Turbine Operation and Maintenance." Sustainability 13, no. 2 (January 8, 2021): 561. http://dx.doi.org/10.3390/su13020561.
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This work proposes a novel concept for an intelligent and semi-autonomous human-cyber-physical system (HCPS) to operate future wind turbines in the context of Industry 5.0 technologies. The exponential increase in the complexity of next-generation wind turbines requires artificial intelligence (AI) to operate the machines efficiently and consistently. Evolving the current Industry 4.0 digital twin technology beyond a sole aid for the human decision-making process, the digital twin in the proposed system is used for highly effective training of the AI through machine learning. Human intelligence (HI) is elevated to a supervisory level, in which high-level decisions made through a human–machine interface break the autonomy, when needed. This paper also identifies and elaborates key enabling technologies (KETs) that are essential for realizing the proposed HCPS.
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Chen, Xiao, Martin A. Eder, Asm Shihavuddin, and Dan Zheng. "A Human-Cyber-Physical System toward Intelligent Wind Turbine Operation and Maintenance." Sustainability 13, no. 2 (January 8, 2021): 561. http://dx.doi.org/10.3390/su13020561.
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This work proposes a novel concept for an intelligent and semi-autonomous human-cyber-physical system (HCPS) to operate future wind turbines in the context of Industry 5.0 technologies. The exponential increase in the complexity of next-generation wind turbines requires artificial intelligence (AI) to operate the machines efficiently and consistently. Evolving the current Industry 4.0 digital twin technology beyond a sole aid for the human decision-making process, the digital twin in the proposed system is used for highly effective training of the AI through machine learning. Human intelligence (HI) is elevated to a supervisory level, in which high-level decisions made through a human–machine interface break the autonomy, when needed. This paper also identifies and elaborates key enabling technologies (KETs) that are essential for realizing the proposed HCPS.
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Lematta, Glenn J., Craig J. Johnson, Eric Holder, Lixiao Huang, Shawaiz A. Bhatti, and Nancy J. Cooke. "Team Interaction Strategies for Human–Autonomy Teaming in Next Generation Combat Vehicles." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 77–81. http://dx.doi.org/10.1177/1071181320641022.
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The current study focuses on improving team effectiveness in Next Generation Combat Vehicles (NGCVs) that combine humans, intelligent agents, and unmanned assets working together toward common goals, “teaming”, through the development of interaction strategies for this future contextual domain. Twenty interaction strategies were derived from three objectives to account for system changes anticipated from the introduction of NGCVs. In particular, consideration is given for improving awareness of team members, maintaining flexible coordination, and working within the constraints of the new environment. Future work should focus on validating the strategies and the implementation of strategies into NGCV design.
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Kawaji, Shigeyasu, and Tetsuo Sawaragi. "Special Issue on Intelligent Control in Coming New Generation." Journal of Robotics and Mechatronics 12, no. 6 (December 20, 2000): 603–4. http://dx.doi.org/10.20965/jrm.2000.p0603.
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In the early 1970s, a concept of intelligent control was proposed by Fu, and since then the advancement of control technologies as a migrate of control theory, artificial intelligence and operations research has been actively attempted. The breakthrough of this concept was to integrate a human judgment and a concept of value as well as management theory into conventional control theoretic approaches, and synthesize these as artificial intelligence. A number of unconventional control techniques have evolved, offering solutions to many difficult control problems in industry and manufacturing. Saridis proposed a general architecture for intelligent control and proposed a design principle of such a hierarchical system as the principle of Increasing Precision with Decreasing Intelligence. During the first generation of intelligent control, a number of intelligent methodologies besides the purely symbolic and logical processing of human knowledge were introduced. They are broadly called soft computing techniques that include artificial neural networks, fuzzy logic, genetic algorithm, and chaos theory. These techniques have contributed much to the advancement of intelligent control from the viewpoint of its ""intelligence"" part, but no solutions are provided from a control theoretic viewpoint, and the definition of intelligence in terms of control theory is still left questionable. To discuss this issue, we initiated a specialist's meeting on survey of intelligent control in 1997 organized under the Institute of Electrical Engineers of Japan, and discussed the current status as well as future perspectives of intelligent control. Some of the papers contributed to this special issue are results obtained in this series of meetings. During that time, the framework of intelligent control has entered the second generation. In the first stage, this framework was discussed in terms of utilized methodologies such as control theory, artificial intelligence, and operations research seeking optimal combinations of these methodologies wherein a distinction is made between the controller, the plant, and the external environment and representations as well as state concepts utilized were a priorily determined and fixed without flexibility. In contrast, the second generation intelligent control system must emphasize a biologically inspired architecture that can accommodate the flexible and dynamic capabilities of living systems including human beings. That is, it must be able to grow and develop increasing capabilities of self-control, self-awareness of representation and reasoning about self and of constructing a coherent whole out of different representations. Actually, a new branch of research on artificial life and system theory of function emergence has shifted the perspectives of intelligence from conventional reductionism to a new design principle based on the concept of ""emergence"". Thus, their approach is quite new in that they attempt to build models that bring together self-organizing mechanisms with evolutionary computation. Such a trend has forced us to reconsider the biological system and/or natural intelligence. In this special issue, we focus on the aspects of semiosis within a multigranular architecture and of emergent properties and techniques for human-machine and/or multiagent collaborative control systems in the coming new generation. These topics are mutually interrelated; the role of multivariable and multiresolutional quantization and clustering for designing intelligent controllers is essential for realizing the abilities to learn unknown multidimensional functions and/or for letting a joint system, which consists of an external environment, a human, and a machine, self-organize distinctive roles in a bottom-up and emerging fashion. This special issue includes papers on proposals of conceptual architecture, methodologies and reports from practical field studies on the hierarchical architecture of machines for realizing hierarchical collaboration and coordination among machine and human autonomies. We believe that these papers will lead to answers to the above questions. We sincerely thank the contributors and reviewers who made this special issue possible. Thanks also go to the editor-in-chief of the Journal of Robotics and Mechatronics, Prof. Makoto Kaneko (Hiroshima University), who provided the opportunity for editing this special issue.
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Palevičius, Vytautas, Rasa Ušpalytė-Vitkūnienė, Jonas Damidavičius, and Tomas Karpavičius. "Concepts of Development of Alternative Travel in Autonomous Cars." Sustainability 12, no. 21 (October 24, 2020): 8841. http://dx.doi.org/10.3390/su12218841.
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Autonomous car travel planning is increasingly gaining attention from scientists and professionals, who are addressing the integration of autonomous cars into the general urban transportation system. Autonomous car travel planning depends on the transport system infrastructure, the dynamic data, and their quality. The efficient development of travel depends on the development level of the Intelligent Transport Systems (ITS) and the Cooperative Intelligent Transport Systems (C-ITS). Today, most cities around the world are competing with each other to become the smartest cities possible, using and integrating the most advanced ITS and C-ITS that are available. It is clear that ITS and C-ITS are occupying an increasing share of urban transport infrastructure, so the complex challenges of ITS and C-ITS development will inevitably need to be addressed, in the near future, by integrating them into the overall urban transport system. With this in mind, the authors proposed three autonomous car travel development concepts that should become a conceptual tool in the development of ITS and C-ITS.
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Dahl, Martin, Kristofer Bengtsson, and Petter Falkman. "Application of the Sequence Planner Control Framework to an Intelligent Automation System with a Focus on Error Handling." Machines 9, no. 3 (March 12, 2021): 59. http://dx.doi.org/10.3390/machines9030059.
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Future automation systems are likely to include devices with a varying degree of autonomy, as well as advanced algorithms for perception and control. Human operators will be expected to work side by side with both collaborative robots performing assembly tasks and roaming robots that handle material transport. To maintain the flexibility provided by human operators when introducing such robots, these autonomous robots need to be intelligently coordinated, i.e., they need to be supported by an intelligent automation system. One challenge in developing intelligent automation systems is handling the large amount of possible error situations that can arise due to the volatile and sometimes unpredictable nature of the environment. Sequence Planner is a control framework that supports the development of intelligent automation systems. This paper describes Sequence Planner and tests its ability to handle errors that arise during execution of an intelligent automation system. An automation system, developed using Sequence Planner, is subjected to a number of scenarios where errors occur. The error scenarios and experimental results are presented along with a discussion of the experience gained in trying to achieve robust intelligent automation.
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Guo, Li Na, Xiao Hong Wang, and Zhan Cui. "Scheme Design of Mobile Phone Campus GIS System Basing on the Windows Phone Platform." Applied Mechanics and Materials 571-572 (June 2014): 546–52. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.546.
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The rising of the cloud computing and the generation of GIS cloud will promote the development mode of server and client into a new high tide, and with the popularity of intelligent mobile phones and plate computer, mobile will not only the development trend but also the trend of the development of IT, and then the development of intelligent mobile phone for the mobile GIS development will be the future GIS development of one of the main trend. So in our study, we considered how to explore the future wisdom campus mobile end GIS product, from this view, so we choose the system which is today's popular Windows Phone operating , and basing on the the wisdom campus, and design mobile Phone campus GIS system.Our research and development process choose the Microsoft Visual Studio 2010 as development platform, we using c # language for development, and choose ArcGIS Server10 as GIS service server, design and develope the Windows Phone mobile Phone about the mobile Phone campus GIS system. The whole system mainly consists of campus news module, course arrangement module, map query module, my diary module, recent weather modules, the system will convenience users’ campus life, which is also a very meaningful exploration and attempt for the intelligent campus.
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Musso, Antonio, and Maria Vittoria Corazza. "Visioning the Bus System of the Future: Stakeholders’ Perspective." Transportation Research Record: Journal of the Transportation Research Board 2533, no. 1 (January 2015): 109–17. http://dx.doi.org/10.3141/2533-12.
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The European Bus System of the Future (2008–2013) was a project funded by the European Commission within the seventh Framework Program. The core of the project was to develop a new generation of bus systems to increase the attractiveness and improve the image of this transport mode. Seven European cities were selected to test the innovative measures described in this paper: Bremerhaven, Germany; Brunoy, France; Budapest, Hungary; Gothenburg, Sweden; Madrid, Spain; Rome; and Rouen, France. The results served as a basis to develop the transferability exercise, that is, the assessment of drivers and barriers that might endorse or hinder the transferability of the measures to other cities. The transferability exercise required a specific method to define what was transferable from the experience of the seven cities (the use cases) and “to which contexts,” according to the panel of stakeholders who took part in the transferability exercise. The paper describes how the method was applied and the outcomes of the transferability exercise, which simulated the transferability of the experience of the seven use cases to a cluster of target cities across Europe. The resulting key factors for transferring (or not) the innovations and for developing a new generation of buses far beyond Europe's borders are reported.
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Han, Zhen Yu, Po Hu, De Dong Han, and Hong Ya Fu. "A Framework of STEP-NC Manufacturing System Integrating CAD, CAPP, CAM and CNC." Applied Mechanics and Materials 233 (November 2012): 365–68. http://dx.doi.org/10.4028/www.scientific.net/amm.233.365.
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This paper outlines a conceptual framework of STEP-NC manufacturing system, which integrates the entire manufacturing process including CAD, CAPP, CAM and CNC, to make full use of the advantages of the new generation of data model. The STEP-NC manufacturing system consists of five parts and the STEP-NC standard is used to transport the complete product information. The intelligent CNC in this system can parse STEP-NC program directly so that no translation is needed and the part programs are reusable. Networked manufacturing can be realized by implementing this new framework of STEP-NC manufacturing system.
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Vourgidis, Ioannis, Leandros Maglaras, Ahmed S. Alfakeeh, Ali H. Al-Bayatti, and Mohamed Amine Ferrag. "Use Of Smartphones for Ensuring Vulnerable Road User Safety through Path Prediction and Early Warning: An In-Depth Review of Capabilities, Limitations and Their Applications in Cooperative Intelligent Transport Systems." Sensors 20, no. 4 (February 13, 2020): 997. http://dx.doi.org/10.3390/s20040997.
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The field of cooperative intelligent transport systems and more specifically pedestrians to vehicles could be characterized as quite challenging, since there is a broad research area to be studied, with direct positive results to society. Pedestrians to vehicles is a type of cooperative intelligent transport system, within the group of early warning collision/safety system. In this article, we examine the research and applications carried out so far within the field of pedestrians to vehicles cooperative transport systems by leveraging the information coming from vulnerable road users’ smartphones. Moreover, an extensive literature review has been carried out in the fields of vulnerable road users outdoor localisation via smartphones and vulnerable road users next step/movement prediction, which are closely related to pedestrian to vehicle applications and research. We identify gaps that exist in these fields that could be improved/extended/enhanced or newly developed, while we address future research objectives and methodologies that could support the improvement/development of those identified gaps.
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Klimovich, A. N., and V. N. Shuts. "SYSTEM ANALYSIS OF MAJOR TRENDS IN DEVELOPMENT OF ADAPTIVE TRAFFIC FLOW MANAGEMENT METHODS." «System analysis and applied information science», no. 3 (November 2, 2017): 28–32. http://dx.doi.org/10.21122/2309-4923-2017-3-28-32.
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Adaptive algorithms, which current traffic systems are based on, exist for many decades. Information technologies have developed significantly over this period and it makes more relevant their application in the field of transport. This paper analyses modern trends in the development of adaptive traffic flow control methods. Reviewed the most perspective directions in the field of intelligent transport systems, such as high-speed wireless communication between vehicles and road infrastructure based on such technologies as DSRC and WAVE, traffic jams prediction having such features as traffic flow information, congestion, velocity of vehicles using machine learning, fuzzy logic rules and genetic algorithms, application of driver assistance systems to increase vehicle’s autonomy. Advantages of such technologies in safety, efficiency and usability of transport are shown. Described multi-agent approach, which uses V2I-communication between vehicles and intersection controller to improve efficiency of control due to more complete traffic flow information and possibility to give orders to separate vehicles. Presented number of algorithms which use such approach to create new generation of adaptive transport systems.
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Li, Lixian, Yongpeng He, Xiaodong Zheng, Lin Yi, and Weiqi Nian. "Progress on Preparation of pH/Temperature-Sensitive Intelligent Hydrogels and Applications in Target Transport and Controlled Release of Drugs." International Journal of Polymer Science 2021 (January 5, 2021): 1–14. http://dx.doi.org/10.1155/2021/1340538.
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Hydrogels with three-dimensional network structure, hydrophilic, and insoluble in water which are ideal carrier materials for intelligent drug delivery systems. Intelligent hydrogel has become a research frontier and hotspot because of its intelligence, high efficiency, safety, and convenience in drug controlled and prolonged release. It has a broad application prospect in the medicine and biomedicine fields and can lead the medicine fields into a new era of “precise treatment.” Based on the latest research progress, the main preparation methods of hydrogel and the development of the drug delivery system are briefly introduced. The most promising three intelligent hydrogels in the human physiological environment, namely, pH responsiveness, temperature responsiveness, and pH/temperature dual responsiveness, are emphatically reviewed. Their release mechanisms, targeting transport, and controlled-prolonged release of drug are also discussed. In addition, some suggestions for the main problems and future development were given.
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Wang, Yiming, and Xidan Gong. "Optimization of Data Processing System for Exercise and Fitness Process Based on Internet of Things." Wireless Communications and Mobile Computing 2021 (July 6, 2021): 1–11. http://dx.doi.org/10.1155/2021/7132301.
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In the digital network era, people have higher requirements for physical fitness. In the future, physical fitness requires not only good fitness equipment and fitness environment but also more convenient and intelligent health management, service guidance, social entertainment, and other refined fitness services. The innovation of sports and fitness equipment for the digital network era will definitely depend on the development of information technology and network technology. Based on the cutting-edge Internet of Things technology, this thesis focuses on the development and application of a new generation of digital fitness equipment adapted to future development, advocating the new concept of seamless integration of fitness exercise and information services through human-oriented systematic design thinking and providing implementable solutions to realize the science, convenience, and life of public fitness. This thesis uses modern science and technology, especially the Internet of Things (IoT) technology, to fully meet the diversified fitness needs of the fitness crowd as the guide; IoT digital fitness equipment design and application research was newly generated, using a variety of research methods to explore the functional design and application of IoT fitness equipment; the goal is to create a more intelligent and three-dimensional IoT fitness service model in the future. Through the application research of intelligent devices in IoT fitness equipment, the realization of the functions of identity identification, environment perception, and data transmission of IoT fitness equipment is made faster. Intelligent devices can become the interaction channel between fitness service personnel, fitness equipment, and fitness users and also reduce the development cost of IoT fitness equipment. The construction of an IoT fitness cloud service platform and data management system integrates the application of IoT, cloud computing, mobile communication, and other technologies to make IoT fitness service supply remote, real-time, and diversified. While providing convenient and value-added fitness services for fitness people, it also brings sustainable development space for the health service industry.
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Ms. Ritika Dhabalia, Ms. Kritika Dhabalia. "An Intelligent Auto-Tracking Vehicle." International Journal of New Practices in Management and Engineering 1, no. 02 (June 30, 2012): 08–13. http://dx.doi.org/10.17762/ijnpme.v1i02.5.
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With gas prices at historic highs and fuel-efficient cars in vogue, the time might be perfect to introduce the Smart Car. The chief goal of this paper is designing a smart car with transportation capabilities of a traditional car. The project introduces ways of making car to sense the environment and navigating on its own. The algorithm is implemented using a freescale’s32-bit MPC5604 microcontroller and CODEWARRIOR (IDE) software. It is based on Free Ranging on Grid Technology (FROG) which uses Automated Guided Vehicle Systems (AGV), which are driverless cars. An AGV is a robotic device that follows marks in the floor. The fundamental requirement for this smart car is to sense the given track in a most efficient and in a considerably very short time. The actuators used for lateral and longitudinal control were a servo and a D.C motor respectively. Thus a model car can be designed with electrical, electronic and mechanical systems and can be travelled in smoother and faster way in the track by electromechanical control. In such automated systems, vehicles are programmed to have various features to ensure smooth car navigation, traffic signal control, cameras to monitor and systems to maintain appropriate speed limits etc. Thus in future, this kind of smart cars acts as an intelligent transport system.
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Islam, Amirul, Md Tanvir Hossan, and Yeong Min Jang. "Convolutional neural networkscheme–based optical camera communication system for intelligent Internet of vehicles." International Journal of Distributed Sensor Networks 14, no. 4 (April 2018): 155014771877015. http://dx.doi.org/10.1177/1550147718770153.
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The evolution of the Internet of vehicles and growing use of mobile devices has created a demand for new wireless communication technologies. Optical camera communication, which uses light-emitting diodes as transmitters and cameras as receivers, has emerged as a promising alternative. Since light-emitting diodes and cameras are already exploring in traffic lights, vehicles, and public lightings, optical camera communication has the potential to intelligently handle transport systems. Although other technologies have been proposed or developed in both academia and industry, they are not yet mature enough to uphold the huge requirements of the Internet of vehicles. This study introduces a new intelligent Internet of vehicles system based on optical camera communication combined with convolutional neural networks. Optical camera communication is a promising candidate for maintaining interference-free and more robust communication, for supporting the Internet of vehicles. Convolutional neural network is introduced for precise detection and recognition of light-emitting diode patterns at long distances and in bad weather conditions. We propose an algorithm to detect the interested light-emitting diode signals (i.e. regions-of-interest), measure the distance using a stereo-vision technique to find out the desired targets, and simulate our proposed scheme using a MATLAB Toolbox. Thus, our system will provide great advantages for next-generation transportation systems.
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Alsaidan, Ibrahim, Priyanka Chaudhary, Muhannad Alaraj, and Mohammad Rizwan. "An Intelligent Approach to Active and Reactive Power Control in a Grid-Connected Solar Photovoltaic System." Sustainability 13, no. 8 (April 10, 2021): 4219. http://dx.doi.org/10.3390/su13084219.
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The increasing demand of electrical energy and environmental concerns are invigorating the use of renewable energy resources for power generation. Renewable energy resources can provide an attractive solution for present and future energy requirements. In this scenario, solar photovoltaic systems are becoming prominent and sustainable solutions with numerous advantages. However, the utilization of solar photovoltaic systems in distribution generation makes it mandatory to deploy efficient and organized control measures for integrating solar photovoltaic plants with the grid. In this paper, the control of grid-tied solar photovoltaic systems using a Kalman filter-based generalized neural network is presented with a variable step size perturb and observe-based maximum power point tracking controller to extract the maximum power from a solar photovoltaic plant. The presented system provides power-quality enhancement and supports a three-phase AC grid. The proposed approach extracts the load currents’ primary components for efficient harmonics elimination, synchronizes the system with the grid and provides a fast response during rapidly changing conditions. The results of the proposed control technique are also compared with the artificial neural network-based control technique for validation purposes. The proposed algorithm is found more suitable for using a smaller number of unknown weights and training patterns with reduced computational time.
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Milovanova, Evgeniya A., Irina A. Lyubchenko, and Alexei I. Milovanov. "Perspectives of practical realization of the transport system «Monojet»." Transportation systems and technology 2, no. 4 (December 15, 2016): 15–24. http://dx.doi.org/10.17816/transsyst20162415-24.
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As transport system «Monojet» includes design ideas in the field of development of over ground suspended transport systems it will allow: - to master effectively vital space of Siberia, the Far East and North of the country; - to strengthen defence potential of the country: to create the network of defence objects connected by the transport system including high speed and lifting mobile means of military technique and troops delivery; - to revive native aircraft vehicles which are not in operation now and to stimulate the building of native civil aircraft construction; - to create possibilities for innovations in the field of science and technique; to ensure technological progress in order to solve the import replacing tasks; - to change in the world public opinion the reputation of the country as supplier of raw material proposing transport services ( to counterbalance, for example, Chinese «Silk Road») and new transport means for civil purposes; - to contribute to the growth and strengthening of patriotism and to provide the rising generation with fair working activity in the future by stimulating motivation of the youth technical creation.
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Gohar, Ali, and Gianfranco Nencioni. "The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System." Sustainability 13, no. 9 (May 6, 2021): 5188. http://dx.doi.org/10.3390/su13095188.
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A smart city is an urban area that collects data using various electronic methods and sensors. Smart cities rely on Information and Communication Technologies (ICT) and aim to improve the quality of services by managing public resources and focusing on comfort, maintenance, and sustainability. The fifth generation (5G) of wireless mobile communication enables a new kind of communication network to connect everyone and everything. 5G will profoundly impact economies and societies as it will provide the necessary communication infrastructure required by various smart city applications. Intelligent Transporting System (ITS) is one of the many smart city applications that can be realized via 5G technology. The paper aims to discuss the impact and implications of 5G on ITS from various dimensions. Before this, the paper presents an overview of the technological context and the economic benefits of the 5G and how key vertical industries will be affected in a smart city, i.e., energy, healthcare, manufacturing, entertainment, and automotive and public transport. Afterward, 5G for ITS is introduced in more detail.
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Liu, Jiangshan, Ming Chen, and Liang Wang. "A new model of industrial internet of things with security mechanism—An application in complex workshop of diesel engine." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 2 (November 3, 2019): 564–74. http://dx.doi.org/10.1177/0954406219884970.
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Intelligent manufacturing is the future development direction of manufacturing industry. There are still some problems lurk in the traditional mode of production, such as “information island” and “network security”, which result in low productivity but high-cost production, and information leakage. With application of the new generation information technology in manufacturing field is expanded, the deep integration of information technology and manufacturing industry promotes the development of production towards intellectualization, networking, and service. Single mode of production is gradually replaced by the way of large-scale collaborative production, so the traditional industrial internet of things (IoT) and manufacturing architecture are not suitable for the needs of actual production any more. For instance, the great challenges of compatibility and coordination of interface protocols, huge data, cost, and safety. In order to solve these problems, a new model of industrial IoT with security mechanism used in intelligent workshop is proposed. Firstly, this article analyzes the current situation of manufacturing industry and information technology, a secure transmission model of industrial IoT was designed based on the new generation information technology. Secondly, combined with the structure of the IoT and the real production demands, a six-tier industrial IoT architecture based on the new generation information technology is proposed. Finally, the three dimensions of the intelligent manufacturing model are expanded according to the architecture of the IoT. Not only a six-tier intelligent manufacturing system framework based on the new generation of information technology is obtained, but also the network security mechanism is introduced. On one hand, it realizes the coordinated operation of industrial chain, supply chain, and value chain of production process, on the other hand, it also improves the networking, intellectualization, and service level of industrial production. What is more the system can also provide the reference model for the various application of IoT.
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Kameyama, Michitaka. "Special Issue on Intelligent Integrated Systems for Robotics." Journal of Robotics and Mechatronics 6, no. 2 (April 20, 1994): 119. http://dx.doi.org/10.20965/jrm.1994.p0119.
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The new area of ""intelligent integrated systems"" has been proposed to develop one of the generic technologies for next-generation electronics and information systems. Although the interpretation may be different for individual persons, I think the area is the integration of the three concepts as shown in Figure. One is the concept of ""system on silicon"" using the integrated circuit technology. Giga-scale integration will be available in near future, so that we have to develop hardware and software architecture related to ultra highly parallel processing. Another is the concept of intelligence including physical model based computations as well as AI technology. The other is the concept of real-world applications just different from computer-world applications. The signal flow is passed through a real world, so that the performance should be evaluated as the response time or delay time. The examples are robotics, car electronics, home electronics, factory automation and so on. This special issue is planned to demonstrate the above important area, especially dedicated for robotics which is a typical example of the intelligent integrated systems. I believe that the contents of this issue give great impact on' the next-generation robot systems, and it will be a memorial publication. Finally, I would like to express my appreciation to the authors for their efforts and contributions to this special issue and also to the members of the Editorial Board for their useful comments.
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Florescu, Adriana, and Sorin Adrian Barabas. "Modeling and Simulation of a Flexible Manufacturing System—A Basic Component of Industry 4.0." Applied Sciences 10, no. 22 (November 23, 2020): 8300. http://dx.doi.org/10.3390/app10228300.
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The field of Flexible Manufacturing Systems (FMS) has seen in recent years a dynamic development trend and can now be considered an integral part of intelligent manufacturing systems and a basis for digital manufacturing. Developing the factory of the future in an increasingly competitive industrial environment involves the study and analysis of some FMS key elements and managerial, technical, and innovative efforts. Using a new approach, thus paper presents a material flow design methodology for flexible manufacturing systems in order to establish the optimal architecture of the analyzed system. The research offers a solution for modeling and optimizing material flows in advanced manufacturing systems. By using a dedicated analysis and simulation software, the structure of the system can be established and specific technical and economic parameters can be determined for each processing and transport capacity. Different processing scenarios will be evaluated through virtual modeling and simulations in order to increase the performance and efficiency of the system. Thus, an interactive tool useful in the design and management of flexible manufacturing lines will be developed for companies operating in the industrial sector. The application of this paper is mainly in the field of development of intelligent manufacturing systems, where the control system will make and use simulations in order to analyze current parameters and to predict the future.
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Peters, Ralf, Janos Lucian Breuer, Maximilian Decker, Thomas Grube, Martin Robinius, Remzi Can Samsun, and Detlef Stolten. "Future Power Train Solutions for Long-Haul Trucks." Sustainability 13, no. 4 (February 19, 2021): 2225. http://dx.doi.org/10.3390/su13042225.
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Achieving the CO2 reduction targets for 2050 requires extensive measures being undertaken in all sectors. In contrast to energy generation, the transport sector has not yet been able to achieve a substantive reduction in CO2 emissions. Measures for the ever more pressing reduction in CO2 emissions from transportation include the increased use of electric vehicles powered by batteries or fuel cells. The use of fuel cells requires the production of hydrogen and the establishment of a corresponding hydrogen production system and associated infrastructure. Synthetic fuels made using carbon dioxide and sustainably-produced hydrogen can be used in the existing infrastructure and will reach the extant vehicle fleet in the medium term. All three options require a major expansion of the generation capacities for renewable electricity. Moreover, various options for road freight transport with light duty vehicles (LDVs) and heavy duty vehicles (HDVs) are analyzed and compared. In addition to efficiency throughout the entire value chain, well-to-wheel efficiency and also other aspects play an important role in this comparison. These include: (a) the possibility of large-scale energy storage in the sense of so-called ‘sector coupling’, which is offered only by hydrogen and synthetic energy sources; (b) the use of the existing fueling station infrastructure and the applicability of the new technology on the existing fleet; (c) fulfilling the power and range requirements of the long-distance road transport.
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Hatzivasilis, George, Konstantinos Fysarakis, Sotiris Ioannidis, Ilias Hatzakis, George Vardakis, Nikos Papadakis, and George Spanoudakis. "SPD-Safe: Secure Administration of Railway Intelligent Transportation Systems." Electronics 10, no. 1 (January 5, 2021): 92. http://dx.doi.org/10.3390/electronics10010092.
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The railway transport system is critical infrastructure that is exposed to numerous man-made and natural threats, thus protecting this physical asset is imperative. Cyber security, privacy, and dependability (SPD) are also important, as the railway operation relies on cyber-physical systems (CPS) systems. This work presents SPD-Safe—an administration framework for railway CPS, leveraging artificial intelligence for monitoring and managing the system in real-time. The network layer protections integrated provide the core security properties of confidentiality, integrity, and authentication, along with energy-aware secure routing and authorization. The effectiveness in mitigating attacks and the efficiency under normal operation are assessed through simulations with the average delay in real equipment being 0.2–0.6 s. SPD metrics are incorporated together with safety semantics for the application environment. Considering an intelligent transportation scenario, SPD-Safe is deployed on railway critical infrastructure, safeguarding one outdoor setting on the railway’s tracks and one in-carriage setting on a freight train that contains dangerous cargo. As demonstrated, SPD-Safe provides higher security and scalability, while enhancing safety response procedures. Nonetheless, emergence response operations require a seamless interoperation of the railway system with emergency authorities’ equipment (e.g., drones). Therefore, a secure integration with external systems is considered as future work.
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Sami, Benslama, Nasri Sihem, Salsabil Gherairi, and Cherif Adnane. "A Multi-Agent System for Smart Energy Management Devoted to Vehicle Applications: Realistic Dynamic Hybrid Electric System Using Hydrogen as a Fuel." Energies 12, no. 3 (February 1, 2019): 474. http://dx.doi.org/10.3390/en12030474.
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Real-time simulation test beds for new zero-emission hybrid electric vehicles are considered as an attractive challenge for future transport applications that are fully recommended in the laboratory environment. In contrast, new zero-emission hybrid electric vehicles have a more complicated charging procedure. For this reason, an efficient simulation tools development for hydrogen consumption control becomes critical. In this vein, a New Zero Emission Hybrid Electric Vehicle Simulation (NZE-HEVSim) tool for the dynamic Fuel Cell Hybrid-Electric System is proposed to smartly control multisource activities. The designed system consists of a proton-exchange membrane fuel cell used to provide the required energy demand and a Supercapacitor system for energy recovery assistance in load peak or in fast transient. To regulate the supplied power, an efficient Real-Time Embedded Intelligent Energy Management (RT-EM-IEM) is implemented and tested through various constraints. The proposed intelligent energy management system aims to act quickly against sudden circumstances related to hydrogen depletion in the basis required fuel consumption prediction using multi-agent system (MAS). The proposed MAS strategy aims to define the proper operating agent according to energy demand and supply. The obtained results prove that the designed system meets the objectives set for RT-EM-IEM by referring to an experimental velocity database.
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Melnyk, Leonid Hr. "Phase Transition: Comprehending the Deep Meaning of the Phenomenon." Mechanism of an Economic Regulation, no. 1 (2019): 109–16. http://dx.doi.org/10.21272/mer.2019.83.09.
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A reader will meet two essays, which can be conventionally called the fairy stories: “Phase transition” and “Fifth dimension”. In the first essay, the reader will get acquainted with the essence of phase transitions, which mean a jump-like change in the state of a system. The paper considers the role of phase transitions in the development of nature and social systems. The reader will also be able to view the contours of the modern phase transition to the new socio-economic formation that takes place during the Third and Fourth Industrial Revolutions. In particular: new things should appear, new types of alternative energy; new technologies (based on the use of 3D printers); fully automated production (“Internet of things”, “smart networks”); new communications (modes of transport and communication); unmanned transport; new economic relations (solidary economy); new needs of people (use of information for personality for development of people); a new reality of global management of human civilization (based on the “cloud” as a planetary system of memory); a new style of life, aimed at the personality development of man. The second essay – “Fifth Dimension” – depicts a figurative picture of forming the prerequisites for phase transitions in society. They are formed by the accumulation of unresolved problems that cannot be solved by society at the existing level of socio-economic development. This is precisely what the inevitable process of the phase transition to a new formation makes. The essay also reveals the role of social prediction as the basis of justified strategic management of social development. This ensures sustainable state of the socio-natural system, leaving sufficient opportunities for future generations to meet their social and economic needs. The paper shows the significance of such reality as the “cloud”, which at the moment serves as a global system of memory, is evolving in the direction of transformation into a planetary center of decision-making – a kind of meta-intelligence. Key words: phase transition, socio-economic formation, social development, transformation, “cloud”.
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Kaliske, Michael, Ronny Behnke, and Ines Wollny. "Vision on a Digital Twin of the Road-Tire-Vehicle System for Future Mobility." Tire Science and Technology 49, no. 1 (January 1, 2021): 2–18. http://dx.doi.org/10.2346/tire.21.190223.
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ABSTRACT Innovative trends such as autonomous cars and smart vehicles have gained increasing attention and will form a new mobility technology. At the same time, the appearance of smart tire systems will give rise to better tire performance, better vehicle control, and the enhancement of current intelligent systems for autonomous vehicles. In contrast, innovations for the road system, which must carry the increasing traffic loads, have been rare in recent years. However, to solve current and future challenges of mobility related to road transport (e.g., durability, safety, efficiency, ecology, cost, etc.), the potential for innovative trends and digitalization of all interacting components—vehicle, tire, and road—should be used to change the industrial ecosystem and paradigm of transport in human life. The vision of a digital twin of the road system, which is the digital/virtual image (reality model in space and time) of the vehicle, tire, and roadway, would enable, among other aspects, the future pioneering condition predictions of single components (ranging from manufacturing, service to failure state), targeted traffic control, optimal synthesis of building materials and structures, interfaces to automated driving, as well as reduction in emissions. The digital twin of the road system contains and combines all available and relevant information about the “road of the future” system from physical examinations and modeling as well as from data-driven models and further available data (e.g., real-time sensor data from the vehicle, tire and road sensors, data models, etc.). This contribution presents the current state of research, tasks, and challenges toward achieving the digital twin of the road system as well as the potential of the digital twin for future mobility.
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Shen, Yi. "Emerging scenarios of data infrastructure and novel concepts of digital libraries in intelligent infrastructure for human-centred communities: A qualitative research." Journal of Information Science 45, no. 5 (November 22, 2018): 691–704. http://dx.doi.org/10.1177/0165551518811459.
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This research investigated the strategic development of a large-scale transdisciplinary area, named intelligent infrastructure for human-centred communities, at Virginia Tech. Within such development, this study explored the future vision and anticipated scenarios of data infrastructure and digital libraries for smart community development. It draws upon the mixed-methods approach combining ethnographic participant observation, document analysis and semi-structured interviews. Grounded in socio-technical framework and rooted in empirical methods, this research produces results that augment design thinking and visioning practice for digital data libraries beyond traditional boundaries. The findings reveal the emerging scenarios around complex adaptive systems, intelligent data infrastructure and future digital libraries all in the context of building infrastructure for human-centred communities. Situated in this advancing reality, the results further discuss the next-generation data and information user experience, smart infrastructure data environment and future library capabilities. The article concludes that a smart library system, whether in its conceptual form of a ‘digital octopus’ or a ‘smart village data hub’ or an ‘intelligent virtual assistant’, will provide intelligence in data gathering, processing, summarising, communication and recommendations. By delivering unified and personalised data solutions, it will offer an end-to-end seamless experience for users throughout their journey of knowledge pursuit.
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Ts’zul, Pinedo Arriaga O., Pinedo Arraiga Carlos D., Herrera Alvarado Eduardo, and Tinoco Varela David. "Identification of wavelengths from the visible spectrum by means of Arduino for the generation of a knowledge base managed by PROLOG." MATEC Web of Conferences 210 (2018): 02048. http://dx.doi.org/10.1051/matecconf/201821002048.
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PROLOG is a programming language widely used in the generation of expert and intelligent systems, generally limited to data that is entered directly by a user in the form of software, having little or no interaction with data that is captured directly from a physical environment. This paper presents an implementation of an interface that detects the wavelengths of the visible spectrum, that is, identifies colors, colors that are stored in a knowledge base and then managed by PROLOG. This interface consists of two parts, software and hardware. The hardware is designed by means of the Arduino UNO development board, where a TCS3200 sensor is used. For the development of the software, two tools have been used, on the one hand, the standard programming of the Arduino IDE terminal has been used to manage the inputs and outputs of the Arduino board, and on the other hand, a data management system has been generated, in which PROLOG manages all the data obtained from hardware. This scheme seeks to generate color classifications in a dynamic and intelligent way in the future. The proposed system has the advantage that it is highly economical, easy to perform, uses the logical paradigm of programming, and opens the way to the design of intelligent systems managed by PROLOG from a monitoring of physical variables.
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Suchanek, Michał, and Agnieszka Szmelter-Jarosz. "Environmental Aspects of Generation Y’s Sustainable Mobility." Sustainability 11, no. 11 (June 8, 2019): 3204. http://dx.doi.org/10.3390/su11113204.
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This research paper identifies and explores the opinions and attitudes of young people about urban transport. It is the first study on this topic, based on the survey, analysing the mobility choices of young adults (more specifically, Generation Y) in Poland and for countries in Central and Eastern Europe. The aim of the paper is to show their travel behaviour from sustainable mobility perspective. The primary data was obtained through the online survey. The data analysis was held with use of factor analysis and ANOVA. The research results indicated the variables influencing the environmental dimension of sustainable mobility attitudes of young adults in four areas: the ecology-oriented approach to transport, opinions about sharing economy, public car concept and future transport system. The analysis of variance revealed significant differences in the ecology-oriented approach between people born in different decades, between men and women and between people with driving licences and people without them. Those results provide the insights for local authorities and mobility service providers. The recommendations at the end of the paper focus on the need for continuation of research in similar fields.
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Xiao, Yang, Wen, and Jiang. "A Unified Multiple-Target Positioning Framework for Intelligent Connected Vehicles." Sensors 19, no. 9 (April 26, 2019): 1967. http://dx.doi.org/10.3390/s19091967.
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Future intelligent transport systems depend on the accurate positioning of multipletargets in the road scene, including vehicles and all other moving or static elements. The existingself-positioning capability of individual vehicles remains insufficient. Also, bottlenecks indeveloping on-board perception systems stymie further improvements in the precision and integrityof positioning targets. Vehicle-to-everything (V2X) communication, which is fast becoming astandard component of intelligent and connected vehicles, renders new sources of informationsuch as dynamically updated high-definition (HD) maps accessible. In this paper, we propose aunified theoretical framework for multiple-target positioning by fusing multi-source heterogeneousinformation from the on-board sensors and V2X technology of vehicles. Numerical and theoreticalstudies are conducted to evaluate the performance of the framework proposed. With a low-costglobal navigation satellite system (GNSS) coupled with an initial navigation system (INS), on-boardsensors, and a normally equipped HD map, the precision of multiple-target positioning attainedcan meet the requirements of high-level automated vehicles. Meanwhile, the integrity of targetsensing is significantly improved by the sharing of sensor information and exploitation of mapdata. Furthermore, our framework is more adaptable to traffic scenarios when compared withstate-of-the-art techniques.
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Gui, Jiawei, and Qunqi Wu. "Multiple Utility Analyses for Sustainable Public Transport Planning and Management: Evidence from GPS-Equipped Taxi Data in Haikou." Sustainability 12, no. 19 (September 30, 2020): 8070. http://dx.doi.org/10.3390/su12198070.
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The transportation utility values calculated by traditional utility methods are not comprehensive. Some objects and factors are ignored in traditional utility methods, and this narrow perspective is their primary drawback. In intelligent transportation systems, it is necessary to calculate transportation utility for promoting public traffic planning and management. To build a sustainable intelligent transportation system, modified utility methods are essential to analyze transportation utility in a comprehensive way with innovative technologies and efficient communication systems. To solve the disadvantages of traditional utility methods, it is necessary to establish a new method to build sustainable public transport in the future. In this study, the Multiple Utility Method and Transportation Utility Method are proposed for public transport planning and management from multiple perspectives. A sample is presented to provide a better description, and 69,174 GPS-equipped taxi data in Haikou are adopted for the application of the Transportation Utility Method. The results show that the transportation utility values calculated by the Transportation Utility Method are more comprehensive than the transportation utility calculated by traditional utility methods. This indicates that it is necessary to calculate transportation utility from multiple perspectives based on the Transportation Utility Method. Future directions could include improving the methods, considering more factors, expanding the data used, and extrapolating this research to other cities around the world with similar urban metrics and urban form.
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Khaki, Mehdi, and Ahmed El-Mowafy. "Characterizing Positioning Errors When Using the Second-Generation Australian Satellite-Based Augmentation System." Artificial Satellites 55, no. 1 (March 1, 2020): 1–15. http://dx.doi.org/10.2478/arsa-2020-0001.
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AbstractFault detection and exclusion (FDE) is the main task for pre-processing of global navigation satellite system (GNSS) positions and is a fundamental process in integrity monitoring that is needed to achieve reliable positioning for applications such as in intelligent transport systems. A widely used method is the solution separation (SS) algorithm. The FDE in SS traditionally builds the models assuming positioning errors are normally distributed. However, in urban environments, this traditional assumption may no longer be valid. The objective of this study is to investigate this and further examine the performance of alternative distributions, which can be useful for FDE modelling and thus improved navigation. In particular, it investigates characterization of positioning errors using GNSS when the Australian satellite-based augmentation system (SBAS) test bed is used, which comprised different positioning modes, including single-point positioning (SPP) using the L1 global positioning system (GPS) legacy SBAS, the second-generation dual-frequency multi-constellation (DFMC) SBAS service for GPS and Galileo, and, finally, precise point positioning (PPP) using GPS and Galileo observations. Statistical analyses are carried out to study the position error distributions over different possible operational environments, including open sky, low-density urban environment, and high-density urban environment. Significant autocorrelation values are also found over all areas. This, however, is more evident for PPP solution. Furthermore, the applied distribution analyses applied suggest that in addition to the normal distribution, logistic, Weibull, and gamma distribution functions can fit the error data in various cases. This information can be used in building more representative FDE models according to the work environment.
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Hong, Hanseul, Young Yong Kim, Ronny Yongho Kim, and Woojin Ahn. "An Effective Wide-Bandwidth Channel Access in Next-Generation WLAN-Based V2X Communications." Applied Sciences 10, no. 1 (December 27, 2019): 222. http://dx.doi.org/10.3390/app10010222.
Full textAbstract:
As Intelligent Transport System (ITS) applications are diversified and amount of ITS data increases, high throughput and reliability are required in next-generation V2X communications. In order to meet such increased throughput and reliability requirements, IEEE 802.11bd, the next-generation V2X communication standard, has commenced standard development. One of the main features of IEEE 802.11bd is a 20-MHz bandwidth transmission. In this paper, a novel wide-bandwidth channel access scheme in next-generation Wireless Local Area Network (WLAN)-based vehicular communications is proposed. The proposed scheme is designed to provide fairness with other ITS devices and channel efficiency considering adjacent channel interference. By using the proposed scheme, through extensive simulations, it is verified that, while satisfying the fairness requirement with other ITS devices, the channel access delay of wide-bandwidth packet transmission can be optimized.