This LNCS volume constitutes the proceedings of 12th International Conference, GALA 2023, in Dublin, Ireland, held during November/December 2023. The 36 full papers and 13 short papers were carefully reviewed and selected from 88 submissions. The papers contained in this book have been organized into six categories, reflecting the variety of theoretical approaches and application domains of research into serious games: 1. The Serious Games and Game Design 2. User experience, User Evaluation and User Analysis in Serious Games 3. Serious Games for Instruction 4. Serious Games for Health, Wellbeing and Social Change 5. Evaluating and Assessing Serious Games Elements 6. Posters
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.
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.
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.
This book is the ninth volume of a sub-series on Road Vehicle Automation, published as part of the Lecture Notes in Mobility. It gathers contributions to the Automated Road Transportation Symposium (ARTS), held on July 12-15, 2021, as a fully virtual event, and as a continuation of TRB's annual summer symposia on automated vehicle systems. Written by researchers, engineers and analysts from around the globe, this book offers a multidisciplinary perspectives on the opportunities and challenges associated with automating road transportation. It highlights innovative strategies, including public policies, infrastructure planning and automated technologies, which are expected to foster sustainable and automated mobility in the near future, thus addressing industry, government and research communities alike.
The number of people in South Asia's cities rose by 130 million between 2000 and 2011--more than the entire population of Japan. This was linked to an improvement in productivity and a reduction in the incidence of extreme poverty. But the region's cities have struggled to cope with the pressure of population growth on land, housing, infrastructure, basic services, and the environment. As a result, urbanization in South Asia remains underleveraged in its ability to deliver widespread improvements in both prosperity and livability. Leveraging Urbanization in South Asia is about the state of South Asia's urbanization and the market and policy failures that have taken the region’s urban areas to where they are today--and the hard policy actions needed if the region’s cities are to leverage urbanization better. This publication provides original empirical and diagnostic analysis of urbanization and related economic trends in the region. It also discusses in detail the key policy areas, the most fundamental being urban governance and finance, where actions must be taken to make cities more prosperous and livable.
The AVEC symposium is a leading international conference in the fields of vehicle dynamics and advanced vehicle control, bringing together scientists and engineers from academia and automotive industry. The first symposium was held in 1992 in Yokohama, Japan. Since then, biennial AVEC symposia have been established internationally and have considerably contributed to the progress of technology in automotive research and development. In 2016 the 13th International Symposium on Advanced Vehicle Control (AVEC’16) was held in Munich, Germany, from 13th to 16th of September 2016. The symposium was hosted by the Munich University of Applied Sciences. AVEC’16 puts a special focus on automatic driving, autonomous driving functions and driver assist systems, integrated control of interacting control systems, controlled suspension systems, active wheel torque distribution, and vehicle state and parameter estimation. 132 papers were presented at the symposium and are published in these proceedings as full paper contributions. The papers review the latest research developments and practical applications in highly relevant areas of vehicle control, and may serve as a reference for researchers and engineers.
FXstreet.Com’s 2013 Best Book Award! The Sensible Guide to Forex: Safer, Smarter Ways to Survive and Prosper from the Start is written for the risk averse, mainstream retail investor or trader seeking a more effective way to tap forex markets to improve returns and hedge currency risk. As the most widely held currencies are being devalued, they're taking your portfolio down with them—unless you're prepared. For traders, the book focuses on reducing the high risk, complexity, and time demands normally associated with forex trading. For long-term investors, it concentrates on how to hedge currency risk by diversifying portfolios into the strongest currencies for lower risk and higher capital gains and income. The usual forex materials don't provide practical answers for most retail traders or longer term investors. Virtually all forex trading materials focus on time-consuming, high-leverage, high-risk methods at which most traders fail. Materials about long-term investing in foreign assets rarely take into account the prospects of the related currency. A falling currency can turn an otherwise good investment into a bad one. Throughout the book, the emphasis is on planning and executing only low risk, high potential yield trades or investments and avoiding serious losses at all costs. Packed with richly illustrated examples every step of the way and including additional appendices and references to online resources, the book is the ultimate guide to forex for retail traders and investors seeking to tap forex markets for better currency diversification and income. Provides traders with safer, smarter, less complex and time-consuming ways to trade forex with higher odds of success. These include the use of such increasingly popular new instruments like forex binary options and social trading accounts that mimic expert traders. Shows investors how to identify the currencies most likely to hold or increase their value, and provides a wealth of ideas about how to apply that knowledge to a long-term, low-maintenance portfolio for both income and capital appreciation. Helps anyone seeking an asset class with low correlation to other markets by explaining how the very nature of forex markets means that regardless of market conditions there's always a playable trend somewhere, regardless of what other asset markets are doing, and how to find and exploit it for a short-term trade or a long-term investment in a currency pair, stock, bond, or other asset The Sensible Guide to Forex is only book that teaches mainstream risk averse investors and traders how to build a portfolio that’s diversified by currency exposure as well as by asset class and sector, via a variety of safer, simpler methods to suit different needs, risk tolerances, and levels of expertise. Written by Cliff Wachtel, a 30+ year financial market writer, advisor, and analyst, The Sensible Guide to Forex offers practical solutions to the above dilemmas faced by every serious, prudent investor. A must own for any informed investor-but don’t take out word for it - see advanced reviews at: http://thesensibleguidetoforex.com/review/
The definitive book on tire mechanics by the acknowledged world expert - Covers everything you need to know about pneumatic tires and their impact on vehicle performance, including mathematic modeling and its practical application - Written by the acknowledged world authority on the topic and the name behind the most widely used model, Pacejka's 'Magic Formula' - Updated with the latest information on new and evolving tire models to ensure you can select the right model for your needs, apply it appropriately and understand its limitations In this well-known resource, leading tire model expert Hans Pacejka explains the relationship between operational variables, vehicle variables and tire modeling, taking you on a journey through the effective modeling of complex tire and vehicle dynamics problems. Covering the latest developments to Pacejka's own industry-leading model as well as the widely-used models of other pioneers in the field, the book combines theory, guidance, discussion and insight in one comprehensive reference. While the details of individual tire models are available in technical papers published by SAE, FISITA and other automotive organizations, Tire and Vehicle Dynamics remains the only reliable collection of information on the topic and the standard go-to resource for any engineer or researcher working in the area. - New edition of the definitive book on tire mechanics, by the acknowledged world authority on the topic - Covers everything an automotive engineer needs to know about pneumatic tires and their impact on vehicle performance, including mathematic modelling and its practical application - Most vehicle manufacturers use what is commonly known as Pacejka's 'Magic Formula', the tire model developed and presented in this book
This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.
