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Author: Qiangqiang Guo Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
With the rise of connected and autonomous vehicles (CAV) and vehicle-to-everything communication technologies, advanced urban traffic control (UTC) has been receiving increasing attention due to the abundant data and control freedom brought by the new techniques. The UTC is a multi-scale problem in both spatial and temporal domains. The goal of this study is to investigate the multi-scale UTC problems in the environment of CAVs. Firstly, we propose a general modeling and control framework for the multi-scale UTC problem and identify the key research needs. We then use this framework to explicitly model, analyze, and solve the two-scale signal-vehicle coupled control problem in the environment of single intersection with 100% CAV penetration, and demonstrate the performance of the proposed method using numerical experiments. Then, we extend the signal-vehicle coupled control algorithm to the environment of multiple intersections with mixed traffic flows of human driven vehicles and CAVs. Considering that for explicit model based methods, the computation burden increases with the size of the traffic network, we develop an imitation learning enhanced method to improve the algorithm efficiency. We conduct various numerical experiments to validate the performance of the proposed model-based and learning-enhanced algorithms.
Author: Qiangqiang Guo Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
With the rise of connected and autonomous vehicles (CAV) and vehicle-to-everything communication technologies, advanced urban traffic control (UTC) has been receiving increasing attention due to the abundant data and control freedom brought by the new techniques. The UTC is a multi-scale problem in both spatial and temporal domains. The goal of this study is to investigate the multi-scale UTC problems in the environment of CAVs. Firstly, we propose a general modeling and control framework for the multi-scale UTC problem and identify the key research needs. We then use this framework to explicitly model, analyze, and solve the two-scale signal-vehicle coupled control problem in the environment of single intersection with 100% CAV penetration, and demonstrate the performance of the proposed method using numerical experiments. Then, we extend the signal-vehicle coupled control algorithm to the environment of multiple intersections with mixed traffic flows of human driven vehicles and CAVs. Considering that for explicit model based methods, the computation burden increases with the size of the traffic network, we develop an imitation learning enhanced method to improve the algorithm efficiency. We conduct various numerical experiments to validate the performance of the proposed model-based and learning-enhanced algorithms.
Author: Stephen Boyle (Mechanical engineer) Publisher: ISBN: Category : Automated vehicles Languages : en Pages : 0
Book Description
Connected and Autonomous vehicles (CAVs) use knowledge of road topography, traffic signal timing, and traffic conditions, obtained via vehicle-to-infrastructure communication, vehicle-to-vehicle communication, and sensors to improve fuel economy through predictive strategies, including velocity trajectory optimization and optimal traffic light arrival and departure. These powertrain control strategies operate on a slow timescale relative to the engine controller and assume that the engine torque production is instantaneous, hence the engine fast dynamics are neglected and the engine torque is saturated using a static map based on engine speed. Such inconsistencies in the timescales can result is poor drivability, constraint violation, actuator saturation, poor tracking performance, decreased powertrain efficiency, and increased emissions. Current mitigation strategies include input shapers and reference governors, but these controller are not fuel optimal and might become unstable if a delay is introduced. One possible solution is to use a Model Predictive Control (MPC) scheme to as a supplemental control layer between the supervisor and OEM controllers. Control problems dealing with multiple timescales can be challenging to solve quickly enough for real-time implementation at a sampling time consistent with the low level, OEM vehicle controllers. Therefore, the problem is decomposed based on time-scale and transformed into a hierarchical control problem.
Author: Umar Zakir Abdul Hamid Publisher: Springer Nature ISBN: 3030660427 Category : Technology & Engineering Languages : en Pages : 345
Book Description
This book combines comprehensive multi-angle discussions on fully connected and automated vehicle highway implementation. It covers the current progress of the works towards autonomous vehicle highway development, which encompasses the discussion on the technical, social, and policy as well as security aspects of Connected and Autonomous Vehicles (CAV) topics. This, in return, will be beneficial to a vast amount of readers who are interested in the topics of CAV, Automated Highway and Smart City, among many others. Topics include, but are not limited to, Autonomous Vehicle in the Smart City, Automated Highway, Smart-Cities Transportation, Mobility as a Service, Intelligent Transportation Systems, Data Management of Connected and Autonomous Vehicle, Autonomous Trucks, and Autonomous Freight Transportation. Brings together contributions discussing the latest research in full automated highway implementation; Discusses topics such as autonomous vehicles, intelligent transportation systems, and smart highways; Features contributions from researchers, academics, and professionals from a broad perspective.
Author: Alexander Guda Publisher: Springer Nature ISBN: 303111051X Category : Technology & Engineering Languages : en Pages : 2004
Book Description
Control of large-scale distributed energy systems over communication networks is an important topic with many application domains. The book presents novel concepts of distributed control for networked and cyber-physical systems (CPS), such as smart industrial production lines, smart energy grids, and autonomous vehicular systems. It focuses on new solutions in managing data and connectivity to support connected and automated vehicles (CAV). The book compiles original research papers presented at the conference “Networked Control Systems for Connected and Automated Vehicles” (Russia). The latest connected and automated vehicle technologies for next generation autonomous vehicles are presented. The book sets new goals for the standardization of the scientific results obtained and the advancement to the level of full autonomy and full self-driving (FSD). The book presents the latest research in artificial intelligence, assessing virtual environments, deep learning systems, and sensor fusion for automated vehicles. Particular attention is paid to new safety standards, safety and security systems, and control of epidemic spreading over networks. The issues of building modern transport infrastructure facilities are also discussed in the articles presented in this book. The book is of considerable interest to scientists, researchers, and graduate students in the field of transport systems, as well as for managers and employees of companies using or producing equipment for these systems.
Author: Romil Rawat Publisher: John Wiley & Sons ISBN: 1394152612 Category : Technology & Engineering Languages : en Pages : 356
Book Description
AUTONOMOUS VEHICLES The companion to Autonomous Vehicles Volume 1: Using Machine Intelligence, this second volume in the two-volume set covers intelligent techniques utilized for designing, controlling, and managing vehicular systems based on advanced algorithms of computing like machine learning, artificial intelligence, data analytics, and Internet of Things (IoT) with prediction approaches to avoid accidental damages, security threats, and theft. Besides communicating with other vehicles, self-driving cars connected to a 5G network will also be able to communicate with different infrastructure elements that make up our roads and other transportation and communication systems. Similarly, an unmanned aerial vehicle (UAV), an aircraft without any human pilot, crew, or passengers on board, can operate under remote control by a human operator, as a remotely-piloted aircraft (RPA), or with various degrees of autonomy. These include autopilot assistance and fully autonomous aircraft that have no provision for human intervention. Transportation is a necessary, but often painful process. With fully autonomous driving, passengers will be freed to accomplish their own goals, turning the dead hours of driving into fruitful hours of learning, working, engaging, and relaxing. Similarly, UAVs can perform functions that human-operated aircraft cannot, whether because of the environment or high-risk situations. The purpose of the book is to present the needs, designs, and applications of autonomous vehicles. The topics covered range from mechanical engineering to computer science engineering, both areas playing vital roles in programming, managing, generating alerts, and GPS position, artificial intelligence-based prediction of path and events, as well as other high-tech tools, are covered in this book, as well. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.
Author: Hong Cheng Publisher: Springer Science & Business Media ISBN: 1447122801 Category : Computers Languages : en Pages : 151
Book Description
This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.
Author: Alexander Guda Publisher: Springer Nature ISBN: 3031110587 Category : Technology & Engineering Languages : en Pages : 1646
Book Description
This book is a collection of the latest research findings in such areas as networked multi-agent systems, co-design of communication and control, distributed control strategies that can cope with asynchrony between local loops, event-triggered control, modelling of network infrastructure, novel concepts of distributed control for networked and cyber-physical systems. The book contains the result of the latest research in the field of communication and control system design to support networked control systems with stringent real-time requirements. It introduces readers to research in the field of joint design of the control and communication protocol and presents the latest developments in the area of novel optimal control and scheduling designs under resource constraints. The book also covers the issues of creating emerging information and communication technologies for traffic estimation and control, connected and autonomous technology applications and modelling for commercial and shared vehicle operations. The reader will find information on emerging cyber-physical systems, networked multi-agent systems, large-scale distributed energy systems, as well as on real-time systems, safety and security systems. A significant block of studies is devoted to the topic of transitions towards electrification and automation of vehicles. Modern concepts of road infrastructure construction are described in detail in the presented research papers. Automotive industry professionals will be particularly interested in the sections on the novel mechanisms for medium access in multi-hop wireless networks with real-time requirements, optimal layering architecture and co-design for wireless communication. The book will be incredibly interesting for researchers interested in human–digital interfaces, industrial Internet of Things, artificial intelligence and machine learning.
Author: Yunpeng Wang Publisher: CRC Press ISBN: 1351869515 Category : Computers Languages : en Pages : 298
Book Description
Connected vehicles and intelligent vehicles have been identified as key technologies for increasing road safety and transport efficiency. This book presents and discusss the recent advances in theory and practice in connected vehicle systems. It covers emerging research that aims at dealing with the challenges in designing the essential functional components of connected vehicles. Major topics include intra- and inter-vehicle communications, mobility model of fleet and ramp merging, trace and position data analysis, security and privacy.
Author: Shaoshan Liu Publisher: Morgan & Claypool Publishers ISBN: 1681731673 Category : Computers Languages : en Pages : 285
Book Description
This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.
Author: Qiangqiang Guo
Author: Qiangqiang Guo
Author: Stephen Boyle (Mechanical engineer)
Author: Umar Zakir Abdul Hamid
Author: Christos G. Cassandras
Author: Alexander Guda
Author: Romil Rawat
Author: Hong Cheng
Author: Alexander Guda
Author: Yunpeng Wang
Author: Shaoshan Liu