› › Real Time Traffic Safety Evaluation In The Context Of Connected Vehicles And Mobile Sensing

International Encyclopedia of Transportation

Author :

Publisher : Elsevier

Page : 4418 pages

File Size : 17,9 MB

Release : 2021-05-13

Category : Law

ISBN : 0081026722

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Book Description

In an increasingly globalised world, despite reductions in costs and time, transportation has become even more important as a facilitator of economic and human interaction; this is reflected in technical advances in transportation systems, increasing interest in how transportation interacts with society and the need to provide novel approaches to understanding its impacts. This has become particularly acute with the impact that Covid-19 has had on transportation across the world, at local, national and international levels. Encyclopedia of Transportation, Seven Volume Set - containing almost 600 articles - brings a cross-cutting and integrated approach to all aspects of transportation from a variety of interdisciplinary fields including engineering, operations research, economics, geography and sociology in order to understand the changes taking place. Emphasising the interaction between these different aspects of research, it offers new solutions to modern-day problems related to transportation. Each of its nine sections is based around familiar themes, but brings together the views of experts from different disciplinary perspectives. Each section is edited by a subject expert who has commissioned articles from a range of authors representing different disciplines, different parts of the world and different social perspectives. The nine sections are structured around the following themes: Transport Modes; Freight Transport and Logistics; Transport Safety and Security; Transport Economics; Traffic Management; Transport Modelling and Data Management; Transport Policy and Planning; Transport Psychology; Sustainability and Health Issues in Transportation. Some articles provide a technical introduction to a topic whilst others provide a bridge between topics or a more future-oriented view of new research areas or challenges. The end result is a reference work that offers researchers and practitioners new approaches, new ways of thinking and novel solutions to problems. All-encompassing and expertly authored, this outstanding reference work will be essential reading for all students and researchers interested in transportation and its global impact in what is a very uncertain world. Provides a forward looking and integrated approach to transportation Updated with future technological impacts, such as self-driving vehicles, cyber-physical systems and big data analytics Includes comprehensive coverage Presents a worldwide approach, including sets of comparative studies and applications



Towards Artificial Intelligence Enabled 6G

Author : Richard Bell

Publisher :

Page : 112 pages

File Size : 43,83 MB

Release : 2021-09-26

Category :

ISBN :

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Book Description

With the rapid progress of 3GPP 5G phase 2 standardization and forthcoming commercial deployment of 5G system [1], many re- searchers [2],[3],[4],[5] from academia and industry have started envisioning what 6G will be. Giordani et al.[2] illustrated potential 6G use cases and potential enabling technologies. Zhao et al.[3] surveyed potential 6G technologies emphasizing artificial intelligence (AI), intelligent surfaces, and Terahertz communications. Huang et al.[4] presented a survey of potential technologies that are helpful to realizing sustainable 6G networks. Wikstrom et al.[5]described a set of potential challenges and possible technical components of the future 6G system. 6G is expected to support numerous novel Internet of Everything (IoE) applications such as extended reality (XR), holographic communica- tions, smart environments, and brain-computer interactions. To fulfill the challenging and diverse demands in terms of performance, security and cost, emerging technologies such as ultra-massive Multiple-input multiple-output (MIMO) [6], holographic beamforming, large intelligent surfaces (LIS)[7], Terahertz (THz) communications [8], visible-light communications (VLC), and new network paradigm such as intelligent radio, AI native architecture, space-aerial-terrestrial-ocean integrated 3D networks are under extensive studies. The large dimen- sion, super heterogeneous, extremely complex 6G networks should be flexible enough to provide customized services in dynamic environ- ments. However, it is very challenging to manage the complex system efficiently by conventional manual centric approaches. Planning and optimizing the space-air-ground integrated networks with different types of radio access technologies are facing many unprecedented challenges [9]. The growing diversity of network services and the complexity of network systems make conventional network managing and optimizing approaches relying on mathematical models no longer adequate[10]. All the above-mentioned issues call for new approaches to achieve a 6G system that is flexible, adaptive, and intelligent to support diverse services efficiently without heavily relying on conven- tional management and optimization paradigms.





Autonomous Vehicle Technology

Author : James M. Anderson

Publisher : Rand Corporation

Page : 215 pages

File Size : 36,43 MB

Release : 2014-01-10

Category : Transportation

ISBN : 0833084372

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Book Description

The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.



Future Intent-Based Networking

Author : Mikhailo Klymash

Publisher : Springer Nature

Page : 531 pages

File Size : 13,17 MB

Release : 2021-12-09

Category : Technology & Engineering

ISBN : 3030924351

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Book Description

So-called Intent-Based Networking (IBN) is founded on well-known SDN (Software-Defined Networking) and represents one of the most important emerging network infrastructure opportunities. The IBN is the beginning of a new era in the history of networking, where the network itself translates business intentions into appropriate network configurations for all devices. This minimizes manual effort, provides an additional layer of network monitoring, and provides the ability to perform network analytics and take full advantage of machine learning. The centralized, software-defined solution provides process automation and proactive problem solving as well as centralized management of the network infrastructure. With software-based network management, many operations can be performed automatically using intelligent control algorithms (artificial intelligence and machine learning). As a result, network operation costs, application response times and energy consumption are reduced, network reliability and performance are improved, network security and flexibility are enhanced. This will be a benefit for existing networks as well as evolved LTE-based mobile networks, emerging Internet of Things (IoT), Cloud systems, and soon for the future 5G/6G networks. The future networks will reach a whole new level of self-awareness, self-configuration, self-optimization, self-recovery and self-protection. This volume consists of 28 chapters, based on recent research on IBN.The volume is a collection of the most important research for the future intent-based networking deployment provided by different groups of researchers from Ukraine, Germany, Slovak Republic, Switzerland, South Korea, China, Czech Republic, Poland, Brazil, Belarus and Israel. The authors of the chapters from this collection present in depth extended research results in their scientific fields.The presented contents are highly interesting while still being rather practically oriented and straightforward to understand. Herewith we would like to wish all our readers a lot of inspiration by studying of the volume!



Security Designs for the Cloud, IoT, and Social Networking

Author : Dac-Nhuong Le

Publisher : John Wiley & Sons

Page : 300 pages

File Size : 27,26 MB

Release : 2019-10-10

Category : Computers

ISBN : 1119593204

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Book Description

Security concerns around the rapid growth and variety of devices that are controlled and managed over the Internet is an immediate potential threat to all who own or use them. This book examines the issues surrounding these problems, vulnerabilities, what can be done to solve the problems, investigating the roots of the problems and how programming and attention to good security practice can combat the threats today that are a result of lax security processes on the Internet of Things, cloud computing and social media.



Measuring Automated Vehicle Safety

Author : Laura Fraade-Blanar

Publisher :

Page : 0 pages

File Size : 42,71 MB

Release : 2018

Category : Technology & Engineering

ISBN : 9781977401649

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Book Description

This report presents a framework for measuring safety in automated vehicles (AVs): how to define safety for AVs, how to measure safety for AVs, and how to communicate what is learned or understood about AVs.



Green Communications and Networking

Author : F. Richard Yu

Publisher : CRC Press

Page : 402 pages

File Size : 20,51 MB

Release : 2016-04-19

Category : Computers

ISBN : 1466589191

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Book Description

Green Communications and Networking introduces novel solutions that can bring about significant reductions in energy consumption in the information and communication technology (ICT) industry-as well as other industries, including electric power. Containing the contributions of leading experts in the field, it examines the latest research advances



Machine Learning for Future Wireless Communications

Author : Fa-Long Luo

Publisher : John Wiley & Sons

Page : 490 pages

File Size : 22,23 MB

Release : 2020-02-10

Category : Technology & Engineering

ISBN : 1119562252

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Book Description

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.