Author : James M. Anderson
Publisher : Rand Corporation
Page : 215 pages
File Size : 16,63 MB
Release : 2014-01-10
Category : Transportation
ISBN : 0833084372
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.
Author : Christian Claudel
Publisher :
Page : pages
File Size : 36,13 MB
Release : 2018-06-30
Category :
ISBN : 9780692121504
Author : Shaoshan Liu
Publisher : Morgan & Claypool Publishers
Page : 285 pages
File Size : 22,22 MB
Release : 2017-10-25
Category : Computers
ISBN : 1681731673
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 : Markus Maurer
Publisher : Springer
Page : 698 pages
File Size : 20,37 MB
Release : 2016-05-21
Category : Technology & Engineering
ISBN : 3662488477
This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".
Author : Stephen Parkes
Publisher : Taylor & Francis
Page : 121 pages
File Size : 39,37 MB
Release : 2023-02-24
Category : Business & Economics
ISBN : 1000845001
The past decade has seen substantial progress towards the development of Connected and Autonomous Vehicles (CAVs). Accompanying the technological developments, there has been much dialogue around the potential for CAVs to help solve a range of economic, social, and environmental issues. Some of CAVs purported benefits include, for example, greater efficiency in the use of existing transport infrastructure, improved safety through removing human error, and widening access to automobility. However, there are also many potential downsides, and whether and how CAVs will deliver on their promise remains shrouded in much uncertainty and not a small degree of scepticism. This book views developments around CAVs through the lens of local policymakers and the towns and cities they represent. We argue it is now time to expand the dialogue to include consideration for towns and cities beyond those early adopters to understand how they will fare, and how CAVs might interact with other important policy agendas facing them. We discuss the different challenges that CAVs will pose for the urban built environment and the required forms of preparedness for these. We also explore how CAVs will interact with other uses and users of cities, including potentially competing efforts to enhance urban wellbeing and liveability. Finally, we consider how responses to CAVs are being developed and what the implications of these are. This book will appeal to policymakers, practitioners, and academics interested in the potential impacts of CAVs and in understanding more about how they will shape and interact with cities and regions in the near future.
Author : Raj Ponnaluri
Publisher : Elsevier
Page : 248 pages
File Size : 25,9 MB
Release : 2021-07
Category : Transportation
ISBN : 0128205679
These discussions are technologically interdisciplinary and procedurally cross-functional, hence the need for CAV: Developing Policies, Designing Programs, and Deploying Projects.This book is aimed at the policy-maker who wants to know the high-level detail; the planner who chooses to pursue the most efficient path to implementation; the professional engineer who needs to design a sustainable system; the practitioner who considers deployable frameworks; the project manager who oversees the system deployment; the private sector consultant who develops and delivers a CAV program; and the researcher who evaluates the project benefits and documents lessons learned. .
Author : Fei Hu
Publisher : CRC Press
Page : 608 pages
File Size : 42,62 MB
Release : 2023-05-12
Category : Computers
ISBN : 1000877256
Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: (I) DL for vehicle safety and security: This part covers the use of DL algorithms for vehicle safety or security. (II) DL for effective vehicle communications: Vehicle networks consist of vehicle-to-vehicle and vehicle-to-roadside communications. This part covers how Intelligent vehicle networks require a flexible selection of the best path across all vehicles, adaptive sending rate control based on bandwidth availability and timely data downloads from a roadside base-station. (III) DL for vehicle control: The myriad operations that require intelligent control for each individual vehicle are discussed in this part. This also includes emission control, which is based on the road traffic situation, the charging pile load is predicted through DL andvehicle speed adjustments based on the camera-captured image analysis. (IV) DL for information management: This part covers some intelligent information collection and understanding. We can use DL for energy-saving vehicle trajectory control based on the road traffic situation and given destination information; we can also natural language processing based on DL algorithm for automatic internet of things (IoT) search during driving. (V) Other applications. This part introduces the use of DL models for other vehicle controls. Autonomous vehicles are becoming more and more popular in society. The DL and its variants will play greater roles in cognitive vehicle communications and control. Other machine learning models such as deep reinforcement learning will also facilitate intelligent vehicle behavior understanding and adjustment. This book will become a valuable reference to your understanding of this critical field.
Author : Gereon Meyer
Publisher : Springer
Page : 292 pages
File Size : 48,67 MB
Release : 2016-07-01
Category : Technology & Engineering
ISBN : 3319405039
This edited book comprises papers about the impacts, benefits and challenges of connected and automated cars. It is the third volume of the LNMOB series dealing with Road Vehicle Automation. The book comprises contributions from researchers, industry practitioners and policy makers, covering perspectives from the U.S., Europe and Japan. It is based on the Automated Vehicles Symposium 2015 which was jointly organized by the Association of Unmanned Vehicle Systems International (AUVSI) and the Transportation Research Board (TRB) in Ann Arbor, Michigan, in July 2015. The topical spectrum includes, but is not limited to, public sector activities, human factors, ethical and business aspects, energy and technological perspectives, vehicle systems and transportation infrastructure. This book is an indispensable source of information for academic researchers, industrial engineers and policy makers interested in the topic of road vehicle automation.
Author : U.s. Department of Transportation
Publisher : CreateSpace
Page : 286 pages
File Size : 36,97 MB
Release : 2015-02-20
Category : Transportation
ISBN : 9781508557173
This report serves as a comprehensive guide to traffic signal timing and documents the tasks completed in association with its development. The focus of this document is on traffic signal control principles, practices, and procedures. It describes the relationship between traffic signal timing and transportation policy and addresses maintenance and operations of traffic signals. It represents a synthesis of traffic signal timing concepts and their application and focuses on the use of detection, related timing parameters, and resulting effects to users at the intersection. It discusses advanced topics briefly to raise awareness related to their use and application. The purpose of the Signal Timing Manual is to provide direction and guidance to managers, supervisors, and practitioners based on sound practice to proactively and comprehensively improve signal timing. The outcome of properly training staff and proactively operating and maintaining traffic signals is signal timing that reduces congestion and fuel consumption ultimately improving our quality of life and the air we breathe. This manual provides an easy-to-use concise, practical and modular guide on signal timing. The elements of signal timing from policy and funding considerations to timing plan development, assessment, and maintenance are covered in the manual. The manual is the culmination of research into practices across North America and serves as a reference for a range of practitioners, from those involved in the day to day management, operation and maintenance of traffic signals to those that plan, design, operate and maintain these systems.
Author : A. Mirzazadeh
Publisher : Springer Nature
Page : 469 pages
File Size : 39,74 MB
Release :
Category :
ISBN : 3031722841
