Download or read book Improving Smart Transportation Applications with Vehicular Edge Computing written by Bozhao Qi and published by . This book was released on 2020 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the recent development of pervasive sensing, lightweight, connected devices are revolutionizing our lives and bringing us to the era of the Internet-of-Things (IoT). Specifically, connected sensors, e.g., cameras, LiDARs, motion sensors, installed in a moving platform (e.g., mobile vehicle) can provide broad views of wide-area environments quickly and efficiently. If many vehicles incorporate such sensing systems, they together can be composed into a unique crowd-sourced platform, they can gather fine-grained, diverse, and noisy information at city-scales. However, multiple sensors can generate large amounts of data and it is hard to aggregate in a centralized cloud-hosted location. We need some form of interim processing platform to digest such data and avoid letting these devices constantly ping the cloud. Compared to cloud computing platforms, edge computing platforms can provide unique edge services with lower latency, greater responsiveness and more efficient use of network bandwidth. To push computational and storage capabilities even closer to end sensing devices, we consider a new edge computing paradigm called the roaming edge, in which the edge nodes themselves are in motion, e.g., mounted in vehicles. The roaming edge extends the notion of edge computing to provide local computing capabilities, without requiring offload computing tasks to the cloud. These characteristics make roaming edge computing platforms suitable for providing the first line of analytics support for vehicular sensing applications. By loading computation tasks from cloud computing platforms to roaming edge computing platforms and even connected devices, we can achieve greater efficiency while accomplishing our desired goals. In order to understand how to leverage the roaming edge in developing vehicular sensing applications, the following questions need to be answered: (i) How should we leverage the advantages of edge computing to accelerate and improve vehicular sensing applications? (ii) What are good ways to manage data access and to control what data each stakeholder in this ecosystem can access? (iii) What are good resource allocation strategies to achieve a predefined goal, and what are the trade-offs between resource allocation and system performance? Motivated by these questions, our research focuses on exploring how to design and implement vehicular sensing applications that can benefit from the roaming edge. Application in many domains can benefit from edge computing paradigms, we focus on applications of intelligent transportation systems in this dissertation. We start by designing and implementing a vehicle tracking application to explore challenges of building applications leveraging the roaming edge. Moreover, we explore the limitations of existing driving behavior evaluation solutions and proposed a multi-modal and lightweight real-time sensing system that leverages audio-visual cues to augment driving behavior analysis. Finally, we develop a low cost Wi-Fi-based in-vehicle monitoring and tracking system for transit and human mobility analytics. In each of these applications, the complex task or problem can be broken into simpler sub-problems such that static edge compute nodes, roaming edge nodes and even connected in-range sensors are able to contribute to the end goal.
Download or read book Augmented Intelligence Toward Smart Vehicular Applications written by Nishu Gupta and published by CRC Press. This book was released on 2020-12-18 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This up-to-date reference discusses important concepts of vehicular communication in intelligent transportation systems. Augmented Intelligence Toward Smart Vehicular Applications begins by discussing key objectives of intelligent transport systems and vehicular ad-hoc networks (VANETs). It then goes on to discuss challenges, applications and future trends in VANETs. The text focuses on the organization of artificial intelligence (AI) and aspects of deep learning algorithms, particularly multimodal transport. This book will serve as an ideal reference for graduate students and academic researchers in the field of electrical engineering, electronics and communication engineering and transportation engineering. Features In-depth coverage of Internet of Things (IoT) in vehicular applications Discussion on nn-vehicle sensor networks Implementation of mobile IP and migration of IPv6 Focus on the need of AI in smart vehicular applications Discussions on advanced concepts in the field of intelligent transport systems
Download or read book Vehicular Networks written by Peter Han Joo Chong and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the forthcoming enforcement of installing wireless units for Dedicated Short Range Communications (DSRC) on newly manufactured light-duty vehicles in the US, the development of the Cellular V2X (C-V2X) standard in 3GPP, and the growing interest in connected autonomous vehicles, vehicle-to-everything (V2X) communications and vehicular networking for improving road safety, enhancing traffic efficiency, and supporting heterogeneous vehicular applications for smart mobility is foreseeable in the near future. This book provides an overview of vehicular networks on the performance analysis, potential applications, and existing challenges. It covers the fundamental methodology for modeling the vehicular traffic and the performance of vehicular communication protocols, as well as the challenges and cutting-edge solutions for vehicular positioning in urban canyon and big data mining for traffic flow prediction and various vehicular applications. The concept of mobile edge computing (MEC) in vehicular networks is also introduced and discussed for better resource management and network utilization. Finally, how to preserve privacy and system security while not disrupting the normal operation of vehicular networks is a pivotal challenge to overcome. This book is suitable for researchers and professionals in the area of vehicular networking and intelligent transportation systems. College engineering postgraduate students who aspire for an in-depth study and understanding of the upcoming trend in vehicular networks and related technologies will also find this book of interest.
Download or read book Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks written by Mohamed Elhoseny and published by Springer. This book was released on 2019-07-17 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses vehicular communication systems, IoT, intelligent transportation systems and the Internet of Vehicles, and also introduces destination marketing in a structured manner. It is primarily intended for research students interested in emerging technologies for connected Internet of Vehicles and intelligent transportation system networks; academics in higher education institutions, including universities and vocational colleges; IT professionals; policy makers; and legislators. The book can also be used as a reference resource for both undergraduate and graduate studies. Written in plain and simple language, it describes new concepts so that they are accessible to readers without prior knowledge of the field.
Download or read book Intelligent Transportation Systems written by Muhammad Alam and published by Springer. This book was released on 2016-01-20 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge work on the most challenging research issues concerning intelligent transportation systems (ITS), introducing selected, highly relevant advanced research on scheduling and real-time communication for vehicular networks, as well as fault tolerance, test beds and simulations for ITS. The authors define new architectures that support cooperative sensing in ITS and offer guidance for the development of a reference end-to-end implementation. The presented results allow advanced traffic and travel management strategies to be formulated on the basis of reliable and real-time input data. The effectiveness of these new strategies, together with the proposed systems, is assessed in field trials and via simulations. The chapters in this book detail new research findings, algorithms, protocols, and the development of an implementation platform for ITS that merges and integrates heterogeneous data sources into a common system. In addition, they provide a set of advanced tools for the control, monitoring, simulation, and prediction of traffic that result in safer, more sustainable, and less congested roads. Work undertaken within the framework of the FP7 project ICSI (Intelligent Cooperative Sensing for Improved traffic efficiency) is also included in the research activities addressed.
Download or read book Cloud and IoT Based Vehicular Ad Hoc Networks written by Gurinder Singh and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: CLOUD AND IOT-BASED VEHICULAR AD HOC NETWORKS This book details the architecture behind smart cars being fitted and connected with vehicular cloud computing, IoT and VANET as part of the intelligent transport system (ITS). As technology continues to weave itself more tightly into everyday life, socioeconomic development has become intricately tied to ever-evolving innovations. An example of this is the technology being developed to address the massive increase in the number of vehicles on the road, which has resulted in more traffic congestion and road accidents. This challenge is being addressed by developing new technologies to optimize traffic management operations. This book describes the state-of-the-art of the recent developments of Internet of Things (IoT) and cloud computing-based concepts that have been introduced to improve Vehicular Ad-Hoc Networks (VANET) with advanced cellular networks such as 5G networks and vehicular cloud concepts. 5G cellular networks provide consistent, faster and more reliable connections within the vehicular mobile nodes. By 2030, 5G networks will deliver the virtual reality content in VANET which will support vehicle navigation with real time communications capabilities, improving road safety and enhanced passenger comfort. In particular, the reader will learn: A range of new concepts in VANETs, integration with cloud computing and IoT, emerging wireless networking and computing models New VANET architecture, technology gap, business opportunities, future applications, worldwide applicability, challenges and drawbacks Details of the significance of 5G Networks in VANET, vehicular cloud computing, edge (fog) computing based on VANET. Audience The book will be widely used by researchers, automotive industry engineers, technology developers, system architects, IT specialists, policymakers and students.
Download or read book Intelligent Vehicles Harnessing AI and ML for IoT Edge Computing written by Vishwanadham Mandala and published by JEC PUBLICATION. This book was released on with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: .....
Download or read book Intelligent Transportation Systems Theory and Practice written by Amit Kumar Tyagi and published by Springer Nature. This book was released on 2022-11-25 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides fundamental principles of intelligent transport systems with comprehensive insight and state of the art of vehicles, vehicular technology, connecting vehicles, and intelligent vehicles/autonomous intelligent vehicles. The book discusses different approaches for multiple sensor-based multiple-objects tracking, in addition to blockchain-based solutions for building tamper-proof sensing devices. It introduces various algorithms for security, privacy, and trust for intelligent vehicles. This book countermeasures all the drawbacks and provides useful information to students, researchers, and scientific communities. It contains chapters from national and international experts and will be essential for researchers and advanced students from academia, and industry experts who are working on intelligent transportation systems.
Download or read book Communication Computation and Perception Technologies for Internet of Vehicles written by Yongdong Zhu and published by Springer Nature. This book was released on 2023-10-31 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the design, management, and cybersecurity of connected and autonomous vehicles under the umbrella of the Internet of Vehicles. Both principles and engineering practice are covered, from the design perspectives of communication, computing, and perception to ITS management. An in-depth study of a range of topics such as microscopic traffic behavior modeling and simulation, localization, V2X communication, cooperative cloud-edge computing, and multi-sensor fusion for perception has been presented, while novel enabling technologies such as RIS and blockchain are introduced. The book benefits researchers, engineers, and graduate students in the fields of intelligent transport systems, telecommunications, cybersecurity, and autonomous driving.
Download or read book Intelligent Computing and Communication for the Internet of Vehicles written by Mushu Li and published by Springer Nature. This book was released on 2023-01-04 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates intelligent network resource management for IoV, with the objective of maximizing the communication and computing performance of vehicle users. Focusing on two representative use cases in IoV, i.e., safety message broadcast and autonomous driving, the authors propose link-layer protocol design and application-layer computing task scheduling to achieve the objective given the unique characteristics and requirements of IoV. In particular, this book illustrates the challenges of resource management for IoV due to network dynamics, such as time-varying traffic intensity and vehicle mobility, and presents intelligent resource management solutions to adapt to the network dynamics. The Internet of Vehicles (IoV) enables vehicle-to-everything connectivity and supports a variety of applications for vehicles on the road. Intelligent resource management is critical for satisfying demanding communication and computing requirements on IoV, while the highly dynamic network environments pose challenges to the design of resource management schemes. This book provides insights into the significance of adaptive resource management in improving the performance of IoV. The customized communication protocol and computing scheduling scheme are designed accordingly by taking the network dynamics information as an integral design factor. Moreover, the decentralized designs of the proposed solutions guarantee low signaling overhead and high scalability. A comprehensive literature review summarizing recent resource management schemes in IoV, followed by the customized design of communication and computing solutions for the two IoV use cases is included which can serve as a useful reference for professionals from both academia and industry in the area of IoV and resource management. Researchers working within this field and computer science and electrical engineering students will find this book useful as well.
Download or read book Real time Video Analytics Empowered by Machine Learning and Edge Computing for Smart Transportation Applications written by Ruimin Ke and published by . This book was released on 2020 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic cameras have the properties of being cost-effective, information-rich, and widely deployed, which are filling up a big gap in today0́9s traffic sensor needs. With the recent progress in traffic operations, information technology, and computer vision, traffic video analytics is driving a broad range of smart city applications with great potential to benefit future transportation and infrastructure systems. Most such applications, e.g., smart traffic surveillance and autonomous driving, require not only high intelligence but also real-time processing capability. Real-time video analytics is well-believed to be one of the most challenging yet most powerful applications for smart cities. It is often bottlenecked by the large volume of video data, high computational cost, and limited data communication bandwidth. This dissertation explores general guidelines and new traffic video analytical methods and systems towards high intelligence and real-time operations for roadway transportation. The designs focus on both the algorithm level and the application system level. On the one hand, lightweight methods are devised based on machine learning techniques and transportation domain knowledge for high smartness, accuracy, and efficiency in specific traffic scenarios. On the other hand, system architectures are developed by leveraging the power of edge computing so that we can split the computational workload between the centralized servers and local Internet-of-Things (IoT) devices for the purpose of system performance optimization. The traffic analytics products and findings in this dissertation can be applied to three transportation-related scenarios with different properties regarding video data collection and processing: (1) traffic surveillance, (2) vehicle onboard sensing, and (3) unmanned aerial vehicle (UAV) sensing. Correspondingly, they apply to three key components of modern intelligent transportation systems (ITS), i.e., smart infrastructures, intelligent vehicle, and aerial surveillance for road traffic. These components possess unique characteristics that can be utilized for video analytics, yet with different challenges to address. To this end, the dissertation proposes algorithms, frameworks, and field implementation examples of how to design and evaluate traffic video analytics systems for smart transportation applications towards high intelligence and efficiency. Experiments were conducted with real-world datasets and tests in a variety of scenarios. This dissertation is among the first efforts in developing edge computing applications for transportation and in exploring UAV sensing for traffic flow.
Download or read book Trust Management in the Internet of Vehicles written by Adnan Mahmood and published by CRC Press. This book was released on 2023-12-18 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Vehicles (IoV) is referred to as an efficient and inevitable convergence of the Internet of Things, intelligent transportation systems, edge / fog and cloud computing, and big data, all of which could be intelligently harvested for the cooperative vehicular safety and non-safety applications as well as cooperative mobility management. A secure and low-latency communication is, therefore, indispensable to meet the stringent performance requirements of the safety-critical vehicular applications. Whilst the challenges surrounding low latency are being addressed by the researchers in both academia and industry, it is the security of an IoV network which is of paramount importance, as a single malicious message is perfectly capable enough of jeopardizing the entire networking infrastructure and can prove fatal for the vehicular passengers and the vulnerable pedestrians. This book thus investigates the promising notion of trust in a bid to strengthen the resilience of the IoV networks. It not only introduces trust categorically in the context of an IoV network, i.e., in terms of its fundamentals and salient characteristics, but further envisages state-of-the-art trust models and intelligent trust threshold mechanisms for segregating both malicious and non-malicious vehicles. Furthermore, open research challenges and recommendations for addressing the same are discussed in the same too.
Download or read book Intelligent Transport System in Smart Cities written by Rodolfo I. Meneguette and published by Springer. This book was released on 2018-08-25 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a timely description of currently used and proposed technologies that involve the intelligent transport system to assist the manager of large cities. Therefore, it describes all concepts and technologies that address the challenges, bringing up a top-down approach, which begins from the vehicular network and central infrastructure to a distributed structure. For scientists and researchers, this book will bring together the state-of-the-art of the main techniques that involve intelligent transport systems to assist the manager of big cities. For practitioners and professionals, this book will describe techniques which can be put into practice and use to aid the development of new applications and services. Concerning postgraduate students, this book will provide highlights of main concerns and concepts and explain techniques that can assist students to identify challenges that they can explore, contribute to, and advance the current status of technology.
Download or read book Intelligent Vehicular Networks and Communications written by Anand Paul and published by Elsevier. This book was released on 2016-09-02 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Vehicular Network and Communications: Fundamentals, Architectures and Solutions begins with discussions on how the transportation system has transformed into today’s Intelligent Transportation System (ITS). It explores the design goals, challenges, and frameworks for modeling an ITS network, discussing vehicular network model technologies, mobility management architectures, and routing mechanisms and protocols. It looks at the Internet of Vehicles, the vehicular cloud, and vehicular network security and privacy issues. The book investigates cooperative vehicular systems, a promising solution for addressing current and future traffic safety needs, also exploring cooperative cognitive intelligence, with special attention to spectral efficiency, spectral scarcity, and high mobility. In addition, users will find a thorough examination of experimental work in such areas as Controller Area Network protocol and working function of On Board Unit, as well as working principles of roadside unit and other infrastructural nodes. Finally, the book examines big data in vehicular networks, exploring various business models, application scenarios, and real-time analytics, concluding with a look at autonomous vehicles. Proposes cooperative, cognitive, intelligent vehicular networks Examines how intelligent transportation systems make more efficient transportation in urban environments Outlines next generation vehicular networks technology
Download or read book Vehicular Cloud Computing for Traffic Management and Systems written by Grover, Jyoti and published by IGI Global. This book was released on 2018-06-22 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Road accidents caused by impaired and distracted driving as well as traffic congestion are on the rise, with the numbers increasing dramatically every day. Intelligent transportation systems (ITS) aim to improve the efficiency and safety of traveling by consolidating vehicle operations, managing vehicle traffic, and notifying drivers with alerts and safety messages in real time. Vehicular Cloud Computing for Traffic Management and Systems provides innovative research on the rapidly advancing applications of vehicle-to-vehicle and vehicle-to-infrastructure communication. It also covers the need to fully utilize vehicular ad-hoc network (VANET) resources to provide updated and dynamic information about the conditions of road traffic so that the number of road accidents can be minimized. Featuring research on topics such as identity management, computational architecture, and resource management, this book is ideally designed for urban planners, researchers, policy makers, graduate-level students, transportation engineers, and technology developers seeking current research on vehicle computational design, architecture, security, and privacy.
Download or read book Mobile Edge Computing written by Yan Zhang and published by Springer Nature. This book was released on 2021-10-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
Download or read book Advances in Smart Vehicular Technology Transportation Communication and Applications written by Jeng-Shyang Pan and published by Springer. This book was released on 2017-11-01 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents papers from the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2017). Held from 6 to 8 November 2017 in Kaohsiung, Taiwan, the conference was co-sponsored by Springer, Fujian University of Technology in China, Fujian Provincial Key Laboratory of Digital Equipment, Fujian Provincial Key Lab of Big Data Mining and Applications, and National Kaohsiung University of Applied Sciences in Taiwan. The book is a valuable resource for researchers and professionals engaged in all areas of smart vehicular technology, vehicular transportation, vehicular communication, and applications.
