Relevant bibliographies by topics / Future generation intelligent transport system

Academic literature on the topic 'Future generation intelligent transport system'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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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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Dissertations / Theses on the topic "Future generation intelligent transport system"

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Rajamani, Gokul Krishnan, and s3076297@student rmit edu au. "CFD analysis of air flow interactions in vehicle platoons." RMIT University. Aerospace, Mechanical and Manufacturing Engineering, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20061114.122130.

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The increasing use of Intelligent Transport System (ITS) can enable very close vehicle spacings which generally results in a net drag reduction for the resulting convoys. The majority of vehicle development has, to date, been for vehicles in isolation, thus the study of interaction effects is becoming increasingly important. The main objective of this research is to investigate the use of Computational Fluid Dynamics (CFD) for understanding convoy aerodynamics and to further the understanding of airflow interaction between vehicles via CFD. In this study, time-averaged characteristics of a simplified, generic passenger vehicle, called the Ahmed car model, after Ahmed et.al (1984) is investigated computationally using the available commercial CFD code, Fluent version 6.1.22. Three different platoon combinations were analysed for the current study which includes a two, three and six model platoons for various rear end configurations of the Ahmed model geometry. Experiments were conducted in RMIT University Industrial Wind Tunnel for analysing the effects of drafting on drag coefficients using two different scales of Ahmed car models. This is an extension to the previous study performed on two 100% scales of Ahmed models (Vino and Watkins, 2004) and the results for both the current and previous experiments were compared using CFD. The CFD proved to be a useful technique since its results compared reasonably well for both the current and the previous experiments on drafting, using Ahmed models of identical (30°) rear slant configurations. However, near critical rear slant angles (~30°) for isolated vehicles some discrepancies were noted. The reasonable validation of experimental results enabled the study to be extended further computationally using CFD, to analyse the effects of inter-vehicle spacing on a platoon of 3 and 6 models for various rear end configurations (between 0° and 40°), in an attempt to provide useful information on vehicle-wake interaction for the Future Generation Intelligent Transport System (FGITS). Critical gaps were identified via CFD for the case of a two, three and six model platoons and the simulations clearly exposed the reasons for these critical gaps. At extremely close proximity, the models experienced more pressure recovery at their rear vertical base, which reduced the drag coefficient. Surprisingly, at some of the close vehicle spacings, the drag coefficients reached values that were higher than that of a vehicle in isolation. This was found due to the high momentum flow impingement to the fore body of the model and was similar to results found in physical experiments. Thus the current CFD analysis revealed that rear slant angle of the model and the inter-vehicle spacing greatly influences the wake structures and ultimately the vehicles aerodynamic drag coefficients in platoons. Even though the current CFD model (Realizable k-B turbulence model) predicted the basic flow structures such as the C-pillar vortices from the rear slant and 2D horse shoe vortices in the model's vertical rear base, the separation bubble on the rear slant that supplies energy to the strong C-pillar vortices was not replicated accurately, which is evidenced from the flow structure analysis. Hence it is recommended for further work, that the study should be extended using the Reynold's stress models or the Large Eddy Simulation (LES) turbulence models for flow structure observation and analysing vortex interactions between the models.
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Guo, Amy Weihong. "Use of a New Methodology to Investigate the Effectiveness of a Pervasive and Intelligent Future Traveller Information System in Encouraging Public Transport Use." Thesis, University of Newcastle Upon Tyne, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506612.

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Söderberg, Anna, and Johan Wieslander. "Evaluating the Effects of using a Fuzzy Controller in Timetable Generation for Commuter Rail Services." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259204.

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Scheduling trains is a hard problem where current solutions typically create timetables that create undesirable amounts of delay for the trains that use them. This study considers the fact that conventional timetables, which only use fixed intervals to schedule trains, might not be optimal for minimising the delay and travel time of passengers. In this study, we compare this ”simple” timetable with timetables generated via a fuzzy controller which has access to information about the flow of passengers throughout the day. The hypothesis is that this fuzzy controller therefore becomes more ”intelligent”. We evaluate the performance using a custom-built simulator that measures the average delay and travel time of the passengers. We conclude that the fuzzy controller can generate timetables that quickly adapt to passenger demands and show favourable resource usage over the simple timetable. However, more research is needed on the input variables and their usage within the fuzzy controller to further optimise the performance.
Schemaläggning av tåg är ett svårt problem och nuvarande lösningar skapar ofta tidtabeller med oönskade mängder förseningar. Den här rapporten behandlar faktumet att enkla tidtabeller, som enbart använder fasta intervaller för tågens avgång, kanske inte är optimala för att minimera antalet förseningar samt resenärers restid. Den här studien jämför enkla tidtabeller, med fasta intervall, med tidtabeller som skapats av en fuzzy controller som har tillgång till information om passagerarflödet. Hypotesen är att fuzzy controllern på så sätt blir mer intelligent. Rapporten utvärderar hur bra tidtabellerna presterar med hjälp av en simulator som mäter genomsnittlig försening och restid för passagerarna i simulationen. Slutsatsen som dras är att en fuzzy controller kan generera tidtabeller som kan anpassa sig till passagerarflödet samt att denna uppvisar gynnsam resursanvändning i jämförelse med den enkla tidtabellen. Dock framhävs behovet av ytterligare forskning på indatavariabler och dess användning inom fuzzy controllern för att vidare kunna optimera dess prestanda.
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Books on the topic "Future generation intelligent transport system"

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Butz, Martin V., and Esther F. Kutter. How the Mind Comes into Being. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.001.0001.

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For more than 2000 years Greek philosophers have thought about the puzzling introspectively assessed dichotomy between our physical bodies and our seemingly non-physical minds. How is it that we can think highly abstract thoughts, seemingly fully detached from actual, physical reality? Despite the obvious interactions between mind and body (we get tired, we are hungry, we stay up late despite being tired, etc.), until today it remains puzzling how our mind controls our body, and vice versa, how our body shapes our mind. Despite a big movement towards embodied cognitive science over the last 20 years or so, introductory books with a functional and computational perspective on how human thought and language capabilities may actually have come about – and are coming about over and over again – are missing. This book fills that gap. Starting with a historical background on traditional cognitive science and resulting fundamental challenges that have not been resolved, embodied cognitive science is introduced and its implications for how human minds have come and continue to come into being are detailed. In particular, the book shows that evolution has produced biological bodies that provide “morphologically intelligent” structures, which foster the development of suitable behavioral and cognitive capabilities. While these capabilities can be modified and optimized given positive and negative reward as feedback, to reach abstract cognitive capabilities, evolution has furthermore produced particular anticipatory control-oriented mechanisms, which cause the development of particular types of predictive encodings, modularizations, and abstractions. Coupled with an embodied motivational system, versatile, goal-directed, self-motivated behavior, learning becomes possible. These lines of thought are introduced and detailed from interdisciplinary, evolutionary, ontogenetic, reinforcement learning, and anticipatory predictive encoding perspectives in the first part of the book. A short excursus then provides an introduction to neuroscience, including general knowledge about brain anatomy, and basic neural and brain functionality, as well as the main research methodologies. With reference to this knowledge, the subsequent chapters then focus on how the human brain manages to develop abstract thought and language. Sensory systems, motor systems, and their predictive, control-oriented interactions are detailed from a functional and computational perspective. Bayesian information processing is introduced along these lines as are generative models. Moreover, it is shown how particular modularizations can develop. When control and attention come into play, these structures develop also dependent on the available motor capabilities. Vice versa, the development of more versatile motor capabilities depends on structural development. Event-oriented abstractions enable conceptualizations and behavioral compositions, paving the path towards abstract thought and language. Also evolutionary drives towards social interactions play a crucial role. Based on the developing sensorimotor- and socially-grounded structures, the human mind becomes language ready. The development of language in each human child then further facilitates the self-motivated generation of abstract, compositional, highly flexible thought about the present, past, and future, as well as about others. In conclusion, the book gives an overview over how the human mind comes into being – sketching out a developmental pathway towards the mastery of abstract and reflective thought, while detailing the critical body and neural functionalities, and computational mechanisms, which enable this development.
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Book chapters on the topic "Future generation intelligent transport system"

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Serova, Olga A., and Aleksandr T. Naniev. "Intelligent Transport System as a Concept of Environmental Innovation in the Transport System." In Digital Future Economic Growth, Social Adaptation, and Technological Perspectives, 907–12. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39797-5_88.

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Bělinová, Zuzana, Petr Bureš, and Peter Jesty. "Intelligent Transport System Architecture Different Approaches and Future Trends." In Advances in Intelligent and Soft Computing, 115–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15503-1_11.

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Kaliraj, S., D. Vivek, M. Uma, and P. Balasubramanie. "An Intelligent System for Appraisal of Heart Infirmity to Rescue Future Generation." In Advances in Intelligent Systems and Computing, 663–71. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0199-9_57.

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Faed, Alireza. "Conclusion of the Thesis and Future Works." In An Intelligent Customer Complaint Management System with Application to the Transport and Logistics Industry, 297–312. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00324-5_9.

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Deconinck, Geert. "Decentralised Control and Peer-To-Peer Cooperation in Smart Energy Systems." In Shaping an Inclusive Energy Transition, 121–38. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74586-8_6.

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AbstractIn order to achieve a decarbonised energy system, change has to happen from electricity generation to the transmission grid over the distribution level all the way down to the industrial loads and the local households. To get involvement of communities in this energy transition, local participation is needed, so that the citizens can be aware of the impact of their energy-related actions on environment and climate. However, the energy system has typically been organised in a top-down fashion, with centralised approaches and little active control, resulting in passive grid and ditto customers. Smart grids have put active customers and consumer engagement as one of the cornerstones of a more intelligent energy infrastructure, which can be organised differently. Indeed, in different niches decentralised approaches have been used successfully (decoupled microgrids, peer-to-peer networks, etc.). This chapter explores how decentralised approaches can fit the future energy system and how it can empower people for engaging in the energy transition.
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Ranganathan, H. "Wireless Sensor Network to Support Intelligent Transport Systems." In Wireless Sensor Networks and Energy Efficiency, 528–47. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0101-7.ch025.

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The future generation of vehicles on the road is going to be driven by wire. To aid in this ‘electronic’ revolution in the vehicle, the role of wireless sensors and their interaction amongst themselves and with the environment is gaining importance. It is an area where the majority of research resources is allocated and being spent. For successful interaction of information from environment / vehicle, there is a need for wireless networking of the information from different sources. To keep pace with the development of wireless networks for intelligent transport systems, newer network architectures, protocols, and algorithms are being developed. This chapter sheds light on all these issues.
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Agarwal, Parul, Syed Imtiyaz Hassan, and Jawed Ahmed. "Intelligent Transportation System." In IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks, 84–105. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2570-8.ch004.

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Today, the technology is moving at a fast pace and has also changed the pace at which the commuter is moving. No longer is the commuter ready to waste time and resources while travelling. This has led to a revolution in the transport sector. ICT, smart devices, and different enabling technologies make intelligent transport systems (ITS) a reality. If well implemented, they can save time and money, help to reduce the environmental threats, and also create business opportunities for many. Today's era is an era of revolution, technological advances, Internet, digitalization, mobile communications, big data, and an era of harnessing the potentials of Cloud Computing. Realizing the benefits of each of these and their utilization and need, a global potential for a powerful and less costly ITS has to be created. This chapter shall give a complete insight into the ITS: its history, components, benefits, issues, and challenges. It would also discuss the future that is in store for ITS but with a realization that the environment is not at stake.
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Ren, Yaxing. "Modelling and Control of Narrow Tilting Vehicle for Future Transportation System." In Intelligent and Efficient Transport Systems - Design, Modelling, Control and Simulation. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.90145.

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Terblanche, Chamonix, Pornpit Wongthongtham, and Boris Marcelo Villazon-Terrazas. "Ontology Based Intelligent System for Online Employer Demand Analysis." In Impact of Economic Crisis on Education and the Next-Generation Workforce, 185–213. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9455-2.ch009.

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Identifying employer demand is crucial for a nation to ensure it develops accurate and reliable education, workforce development and immigration policies. Skills shortages globally pose a real and urgent need for proper investigation and workforce development planning into the future. Analysing workforce development and employer demand needs through online job market allows much deeper and wider research into skill shortages. Current methods do not provide the level of depth required to address such important economic implications. In this chapter, the authors present an intelligent system aiming to gather and analyse current employer demand information from online job advertisements. An Employer Demand Ontology has been developed and to further the ontology functionality, the Employer Demand Identification Tool has been developed as a semi-automated means to gather and analyse current employer demand information on a regular basis.
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Chand Jain, Prem. "Trends in Next Generation Intelligent Transportation Systems." In Self-driving Vehicles and Enabling Technologies [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97690.

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The objective of Intelligent transportation system (ITS) and related National highway traffic safety administration (NHTSA) is to improve vehicle safety and reduce accidents, injuries, and deaths. Advanced driver assistance system (ADAS) is making a difference in vehicle safety. The objective of ADAS is to provide a continuous picture environment surrounding the vehicle. This vision around the vehicle is seen by the driver to take the decision. Vehicular communication is a part of Intelligent Transport System which provides an intelligent way of transport to avoid accidents. As the transportation moves towards environment of connected and autonomous vehicles, the role of communication and data transfer becomes important. Connected vehicles can be used for both infotainment and navigation for vehicle safety. Vehicle-to-vehicle (V2V) communication allows vehicles to talk to each other and exchange data about location, direction of travel, speed, brake, accelerator status, and other facts. This information is analyzed and used to avoid collision. C-V2X (Cellular-Vehicle-to-Everything) can provide better quality of service support, large coverage, and high data rate for moving vehicles. Device-to-device (D2D) communication in C-V2X provides high reliability and low latency. In 5G Rel.16 C-V2X will become an integral part of 5G cellular network providing higher capacity, coverage, etc. Today old aged/disabled person look for driving technology that is convenient and easy to use. V2X technology will offset some of the concerns about old aged/disabled driver’s abilities to respond quickly to challenge by driving environment as they no longer be required to handle most of the decisions.
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Conference papers on the topic "Future generation intelligent transport system"

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Praticò, Filippo Giammaria, Rosario Fedele, Sara Pizzi, and Giuseppe Araniti. "INTELLIGENT TRANSPORT SYSTEMS EXPLOITING SMART WIRELESS SENSING NODES." In 11th International Conference “Environmental Engineering”. VGTU Technika, 2020. http://dx.doi.org/10.3846/enviro.2020.624.

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Future smart cities that will exploit the forthcoming fifth-generation (5G) network will strongly contribute to the development of intelligent transport systems, which will be able to effectively manage changing infrastructural conditions, and to timely exchange crucial information with different stakeholders to improve sustainability and safety. To this end, smart wireless sensing nodes can be effectively exploited. Consequently, the objectives of this study are: 1) to describe the setup and the main potentialities of a wireless sensing system designed for monitoring the environmental and structural conditions on road pavements; 2) to provide an overview about the capability of the 5G network to enable the data exchange required by the designed system. Each sensing node includes different sensors, and is able to send the data gathered from the resource-constrained sensors to a web server used for data processing. Vibrational-, acoustical-, and environmental-related data are used to control traffic pollution, road availability and structural status. The paper describes the in-lab tests carried out on asphalt concrete samples to: i) calibrate the sensors; ii) define structural and environmental thresholds. Results show that the tested node is able to provide reliable data that can be used for the above-described purposes.
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Headings, Leon M., Shawn Midlam-Mohler, Gregory N. Washington, and Joseph P. Heremans. "High Temperature Thermoelectric Auxiliary Power Unit for Automotive Applications." In ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2008. http://dx.doi.org/10.1115/smasis2008-610.

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While the thermoelectric effects have been known for over 100 years, their traditionally low conversion efficiency for power generation has limited their use to highly specialized applications. With the rapid advancement of thermoelectric materials in recent years, their inherent reliability and power density is being augmented by improvements in efficiency. Recent increases in the figure of merit of materials suitable for operation around 500 °C make them candidates for waste heat recovery, as well as primary power using combustion heaters. The characteristic scalability of thermoelectric generators makes them best suited for low power applications where alternative generators become impractical. However, with the development of thermoelectric device technology in parallel with materials advancements, it may become viable to design thermoelectric generators for auxiliary power in automotive applications. The research presented here represents the initial stages of the development of a thermoelectric power unit (TEPU). While thermoelectric generator technology can be applied to any fuel, this research targets the use of diesel fuel which is readily available for both military and consumer applications and is more easily and safely transported than many alternatives. The use of diesel fuel for a TEPU is enabled by the use of an atomizer technology developed at The Ohio State University Center for Automotive Research. A baseline prototype incorporating this novel diesel fuel atomizer/combustor with conventional thermoelectric materials and heat exchange designs has been constructed and tested. Preliminary data highlights the viability of diesel fuel for thermoelectric power generation as well as the areas which demand further development. This prototype will serve as the baseline for evaluating future designs incorporating advanced materials and novel system designs.
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Anandakumar, H., R. Arulmurugan, and A. Roshini. "Intelligent Vehicle System Problems and Future Impacts for Transport Guidelines." In 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT). IEEE, 2019. http://dx.doi.org/10.1109/icssit46314.2019.8987831.

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Peng, Liu, Liu Wen, Yang Li, Li Qiang, Duan Min, and Dai Yue. "Approved Rough Set Knowledge Acquisition Approach in Intelligent Decision System." In Future Generation Communication and Networking 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.73.20.

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Kassar, Meriem, Brigitte Kervella, and Guy Pujolle. "Architecture of an Intelligent Inter-system Handover Management Scheme." In Future Generation Communication and Networking (FGCN 2007). IEEE, 2007. http://dx.doi.org/10.1109/fgcn.2007.70.

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Lim, Jung-Eun, O.-Hoon Choi, Hong-Seok Na, and Doo-Kwon Baik. "Design of Intelligent Fitness Guide System in Context Aware Exercise Environment." In Future Generation Communication and Networking (FGCN 2007). IEEE, 2007. http://dx.doi.org/10.1109/fgcn.2007.100.

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Byung-Gil Han, Kil-Taek Lim, Yun-Su Chung, and Soo-In Lee. "Passenger management system based on face recognition for intelligent transport vehicles." In 2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2013. http://dx.doi.org/10.1109/icufn.2013.6614792.

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Siddiqi, K., A. D. Raza, and S. Sheikh Muhammad. "Visible light communication for V2V intelligent transport system." In 2016 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom). IEEE, 2016. http://dx.doi.org/10.1109/cobcom.2016.7593510.

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Al-Bakry, Abbas M., and Talib T. Al-Fatlawii. "Intelligent web content filtering system using MAS." In 2013 Second International Conference on Future Generation Communication Technology (FGCT). IEEE, 2013. http://dx.doi.org/10.1109/fgct.2013.6767193.

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Chang, Francis, and Hari K. Garg. "Design of Next Generation Smart Surface Transportation System." In 3rd International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006376603590365.

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Reports on the topic "Future generation intelligent transport system"

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Guidati, Gianfranco, and Domenico Giardini. Joint synthesis “Geothermal Energy” of the NRP “Energy”. Swiss National Science Foundation (SNSF), February 2020. http://dx.doi.org/10.46446/publication_nrp70_nrp71.2020.4.en.

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Near-to-surface geothermal energy with heat pumps is state of the art and is already widespread in Switzerland. In the future energy system, medium-deep to deep geothermal energy (1 to 6 kilometres) will, in addition, play an important role. To the forefront is the supply of heat for buildings and industrial processes. This form of geothermal energy utilisation requires a highly permeable underground area that allows a fluid – usually water – to absorb the naturally existing rock heat and then transport it to the surface. Sedimentary rocks are usually permeable by nature, whereas for granites and gneisses permeability must be artificially induced by injecting water. The heat gained in this way increases in line with the drilling depth: at a depth of 1 kilometre, the underground temperature is approximately 40°C, while at a depth of 3 kilometres it is around 100°C. To drive a steam turbine for the production of electricity, temperatures of over 100°C are required. As this requires greater depths of 3 to 6 kilometres, the risk of seismicity induced by the drilling also increases. Underground zones are also suitable for storing heat and gases, such as hydrogen or methane, and for the definitive storage of CO2. For this purpose, such zones need to fulfil similar requirements to those applicable to heat generation. In addition, however, a dense top layer is required above the reservoir so that the gas cannot escape. The joint project “Hydropower and geo-energy” of the NRP “Energy” focused on the question of where suitable ground layers can be found in Switzerland that optimally meet the requirements for the various uses. A second research priority concerned measures to reduce seismicity induced by deep drilling and the resulting damage to buildings. Models and simulations were also developed which contribute to a better understanding of the underground processes involved in the development and use of geothermal resources. In summary, the research results show that there are good conditions in Switzerland for the use of medium-deep geothermal energy (1 to 3 kilometres) – both for the building stock and for industrial processes. There are also grounds for optimism concerning the seasonal storage of heat and gases. In contrast, the potential for the definitive storage of CO2 in relevant quantities is rather limited. With respect to electricity production using deep geothermal energy (> 3 kilometres), the extent to which there is potential to exploit the underground economically is still not absolutely certain. In this regard, industrially operated demonstration plants are urgently needed in order to boost acceptance among the population and investors.
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