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On-Road Intelligent Vehicles

On-Road Intelligent Vehicles
Motion Planning for Intelligent Transportation Systems

by Rahul Kala

  • Publisher : Butterworth-Heinemann
  • Release : 2016-04-27
  • Pages : 536
  • ISBN : 0128037563
  • Language : En, Es, Fr & De
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On-Road Intelligent Vehicles: Motion Planning for Intelligent Transportation Systems deals with the technology of autonomous vehicles, with a special focus on the navigation and planning aspects, presenting the information in three parts. Part One deals with the use of different sensors to perceive the environment, thereafter mapping the multi-domain senses to make a map of the operational scenario, including topics such as proximity sensors which give distances to obstacles, vision cameras, and computer vision techniques that may be used to pre-process the image, extract relevant features, and use classification techniques like neural networks and support vector machines for the identification of roads, lanes, vehicles, obstacles, traffic lights, signs, and pedestrians. With a detailed insight into the technology behind the vehicle, Part Two of the book focuses on the problem of motion planning. Numerous planning techniques are discussed and adapted to work for multi-vehicle traffic scenarios, including the use of sampling based approaches comprised of Genetic Algorithm and Rapidly-exploring Random Trees and Graph search based approaches, including a hierarchical decomposition of the algorithm and heuristic selection of nodes for limited exploration, Reactive Planning based approaches, including Fuzzy based planning, Potential Field based planning, and Elastic Strip and logic based planning. Part Three of the book covers the macroscopic concepts related to Intelligent Transportation Systems with a discussion of various topics and concepts related to transportation systems, including a description of traffic flow, the basic theory behind transportation systems, and generation of shock waves. Provides an overall coverage of autonomous vehicles and Intelligent Transportation Systems Presents a detailed overview, followed by the challenging problems of navigation and planning Teaches how to compare, contrast, and differentiate navigation algorithms

Autonomous Intelligent Vehicles

Autonomous Intelligent Vehicles
Theory, Algorithms, and Implementation

by Hong Cheng

  • Publisher : Springer Science & Business Media
  • Release : 2011-11-15
  • Pages : 154
  • ISBN : 9781447122807
  • Language : En, Es, Fr & De
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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.

Advances in Intelligent Vehicles

Advances in Intelligent Vehicles
A Book

by Yaobin Chen,Lingxi Li

  • Publisher : Academic Press
  • Release : 2014-03-20
  • Pages : 336
  • ISBN : 0123973279
  • Language : En, Es, Fr & De
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Advances in Intelligent Vehicles presents recent advances in intelligent vehicle technologies that enhance the safety, reliability, and performance of vehicles and vehicular networks and systems. This book provides readers with up-to-date research results and cutting-edge technologies in the area of intelligent vehicles and transportation systems. Topics covered include virtual and staged testing scenarios, collision avoidance, human factors, and modeling techniques. The Series in Intelligent Systems publishes titles that cover state-of-the-art knowledge and the latest advances in research and development in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications. Provides researchers and engineers with up-to-date research results and state-of-the art technologies in the area of intelligent vehicles and transportation systems Covers hot topics, including driver assistance systems; cooperative vehicle-highway systems; collision avoidance; pedestrian protection; image, radar and lidar signal processing; and V2V and V2I communications

Artificial Intelligent

Artificial Intelligent
In Transportation Market Research

by Johnny Ch LOK

  • Publisher : Unknown Publisher
  • Release : 2018-05-06
  • Pages : 57
  • ISBN : 9781981028894
  • Language : En, Es, Fr & De
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Chapter One How artificial intelligent vehicle may interact intelligent transportation tools Can artificial intelligence (AI) and machine learning (ML) be used in the search for new " consumption" behavioral type variables that affect consumer individual or transportation service organization individual different transportation tools choices, such as road or sea or sky transportation tools? Can artificial intelligent vehicle may interact intelligent transportation tools market development? Consumers usually have bargaining and on risk choice when they are already shopping, such as who need to accept to use any (AI) new technological products to replace human traditional behaviors, such as intelligent non-manual driving transportation market, e.g. cars are needed to be driven by human drivers on road, but it has bargaining and on risky choice, when non-manual (AI) vehicle buyers who need to depend on non-manual artificial intelligent (ML) system assists them to drive their cars on the roads. So, any non-manual driving auto car buyers must need to believe (AI) non-manual driving vehicles (ML) systems can make accurate driving judgement to reduce or avoid any traffic accident occurrences more than human drivers' driving judgement when the (ML) systems are driving their cars on the roads. Then the intelligent vehicle manufacturers will have possible to sell their non-manual driving vehicles success. This is the first reason or idea influences consumer individual choice to buy any kinds of (AI) non-manual driving vehicles, when consumers believe (ML) systems are more safe and make more accurate judgement to compare human or computer systems, when they are sitting in one non-manual auto driving vehicle on the road. The another second reason or idea is that some common limits on driving consumer prediction might be understood as the kinds of errors made by poor implementation of machine learning. Supposing driving consumers believe (AI) machine learning ability is worse to compare to human learning ability. It will also influence driving consumers do not accept to use any (AI) non-manual auto driving vehicles to replace every driver is essential on driving by himself/herself on the road. The third idea or reason is that it is important to influence driving customers believe how (AI) non-manual auto driving technology is used in them can both overcome and exploit human driving skill and safe limits and raise more auto driving safe judgement to compare human driving safe judgement. However, how to predict any kinds of (AI) non-manual driving vehicles future consumption effort, due to different kinds of (AI) non-manual driving transportation vehicles which have different unique functions and designs to be used by different kinds of road transportation or driving demand of consumers. For example, lorry drivers need non-manual intelligent system can help them to drive fast, but safe to assist them to transport cargo to arrive destinations from their factories or offices. Otherwise, private car driver expects whose (AI) non-manual driving vehicle can auto drive to send to whom to arrive destination in safe way and non-too fast and non-too slow speed in order to avoid accident occurrences. So, a different road intelligent consum

Intelligent Vehicles

Intelligent Vehicles
Enabling Technologies and Future Developments

by Felipe Jimenez

  • Publisher : Butterworth-Heinemann
  • Release : 2017-09-08
  • Pages : 504
  • ISBN : 012813108X
  • Language : En, Es, Fr & De
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Intelligent Road Vehicles examines specific aspects of intelligent vehicles such as enabling technologies, human factors and an analysis of social and economic impacts. The book is an invaluable resource for those pursuing deeper knowledge in the intelligent vehicles field, providing readers with an idea of current and future technologies, current projects and developments and the future of intelligent vehicles. Intelligent road vehicles are becoming a challenging area of research worldwide. Apart from the final applications and systems in vehicles, there are many enabling technologies that should be introduced. Communications and automation are two key areas for future automobiles. This book benefits from collaboration on the Thematic Network on Intelligent Vehicles led by Felipe Jimenez. Provides a general overview of different aspects related to intelligent road vehicles (sensors, applications, communications, automation, human factors, etc.) Addresses the different components and building blocks of intelligent vehicles in a single, comprehensive reference Explains how sensors are interpreted, including how different sensor readings are fused Addresses issues involved with avoiding collisions and other factors such as pot holes, unclear road lines or markings, and unexpected weather conditions

PRIDE: A Framework for Performance Evaluation of Intelligent Vehicles in Dynamic, On-Road Environments

PRIDE: A Framework for Performance Evaluation of Intelligent Vehicles in Dynamic, On-Road Environments
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2004
  • Pages : 9
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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We are developing a novel framework, PRIDE (PRediction In Dynamic Environments), to perform moving object prediction for unmanned ground vehicles. The underlying concept is based upon a multi-resolutional, hierarchical approach that incorporates multiple prediction algorithms into a single, unifying framework. The lower levels of the framework utilize estimation-theoretic short-term predictions while the upper levels utilize a probabilistic prediction approach based on situation recognition with an underlying cost model. In addition to predicting the location of moving objects in the environment, we have extended PRIDE to generate simulated traffic flow during on-road driving. In this paper, we explore applying the PRIDE-based traffic control algorithms for the purpose of performance evaluation of autonomous vehicles. Through the use of repeatable and realistic traffic flow simulation, one is able to evaluate the performance of an autonomous vehicle in an on-road driving scenario without the risk involved with introducing the vehicle into a potentially dangerous roadway situation. In addition, by varying a single vehicle's parameters (e.g. aggressivity, speed, location) with the traffic flow, we can show how the entire traffic pattern is affected. We will show the successes that have been achieved to date in a simulated environment, as well as enhancements that are currently being researched and expected in the near future.

Planning Universal On-Road Driving Strategies for Automated Vehicles

Planning Universal On-Road Driving Strategies for Automated Vehicles
A Book

by Steffen Heinrich

  • Publisher : Springer
  • Release : 2018-04-19
  • Pages : 133
  • ISBN : 3658219548
  • Language : En, Es, Fr & De
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Steffen Heinrich describes a motion planning system for automated vehicles. The planning method is universally applicable to on-road scenarios and does not depend on a high-level maneuver selection automation for driving strategy guidance. The author presents a planning framework using graphics processing units (GPUs) for task parallelization. A method is introduced that solely uses a small set of rules and heuristics to generate driving strategies. It was possible to show that GPUs serve as an excellent enabler for real-time applications of trajectory planning methods. Like humans, computer-controlled vehicles have to be fully aware of their surroundings. Therefore, a contribution that maximizes scene knowledge through smart vehicle positioning is evaluated. A post-processing method for stochastic trajectory validation supports the search for longer-term trajectories which take ego-motion uncertainty into account. About the Author Steffen Heinrich has a strong background in robotics and artificial intelligence. Since 2009 he has been developing algorithms and software components for self-driving systems in research facilities and for automakers in Germany and the US.

Information Security of Intelligent Vehicles Communication

Information Security of Intelligent Vehicles Communication
Overview, Perspectives, Challenges, and Possible Solutions

by Madhusudan Singh

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 245
  • ISBN : 9811622175
  • Language : En, Es, Fr & De
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This book highlights cyber-security overview, perspectives, and challenges that affect advanced Vehicular technology. It considers vehicular security issues and possible solutions, with the aim of providing secure vehicle-to-vehicle, vehicle-to-infrastructure and inside-of-vehicle communication. This book introduces vehicle cryptography mechanism including encryption and decryption approaches and cryptography algorithms such as symmetric and asymmetric cryptography, Hash functions and Digital Signature certificates for modern vehicles. It discusses cybersecurity structure and provides specific security challenges and possible solutions in Vehicular Communication such as vehicle to vehicle communication, vehicle to Infrastructure and in-vehicle communciation. It also presents key insights from security with regards to vehicles collaborative information technology. The more our vehicles become intelligent, the more we need to work on safety and security for vehicle technology. This book is of interest to automotive engineers and technical managers who want to learn about security technologies, and for those with a security background who want to learn about basic security issues in modern automotive applications.

Dynamics of Vehicles on Roads and Tracks Volume 1

Dynamics of Vehicles on Roads and Tracks Volume 1
Proceedings of the 25th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2017), 14-18 August 2017, Rockhampton, Queensland, Australia

by Maksym Spiryagin,Timothy Gordon,Colin Cole,Tim McSweeney

  • Publisher : CRC Press
  • Release : 2017-12-06
  • Pages : 514
  • ISBN : 1351057243
  • Language : En, Es, Fr & De
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The International Symposium on Dynamics of Vehicles on Roads and Tracks is the leading international gathering of scientists and engineers from academia and industry in the field of ground vehicle dynamics to present and exchange their latest ideas and breakthroughs. The International Association of Vehicle System Dynamics (IAVSD) was established in Vienna in 1977 and has since held its biennial symposia throughout Europe and in the USA, Canada, Japan, South Africa and China. The IAVSD, while celebrating its first 40 years, held the 25th Symposium at Rockhampton, Queensland, Australia in August 2017. The symposium was hosted by the Centre for Railway Engineering at Central Queensland University. The papers presented at the symposium are now published in these Proceedings to provide a comprehensive review of the latest innovative developments and practical applications in road and rail vehicle dynamics. The papers will contribute greatly to a better understanding of related problems and serve as a reference for researchers and engineers active in this specialised field. IAVSD2017 focused on the following topics related to road and rail vehicles and trains: dynamics and stability vibration and comfort suspension steering traction and braking active safety systems advanced driver assistance systems autonomous road and rail vehicles adhesion and friction wheel-rail contact tyre-road interaction aerodynamics and crosswind pantograph-catenary dynamics modelling and simulation driver-vehicle interaction field and laboratory testing vehicle control and mechatronics performance and optimisation instrumentation and condition monitoring environmental considerations

World Report on Road Traffic Injury Prevention

World Report on Road Traffic Injury Prevention
A Book

by Peden M.,World Health Organization,Scurfield R.,World Bank,Sleet D.,Hyder A. A.,C. Mathers,E. Jarawan,A. A. Hyder,Mohan D.,Jarawan E.

  • Publisher : World Health Organization
  • Release : 2004-03-23
  • Pages : 217
  • ISBN : 9241562609
  • Language : En, Es, Fr & De
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Every day, thousands of people are killed and injured on roads around the world, with the costs of this growing, but largely preventable, public health concern disproportionately affecting vulnerable social groups and developing countries. In order to address these issues, the World Health Organization and the World Bank have produced this joint report on road traffic injury prevention, based on the collaborative contributions of experts and institutions, from all continents and different sectors, including transport, engineering, health, police, education and civil society. It presents a comprehensive overview of the magnitude, risk factors and impact of road traffic injuries, and about ways to prevent and lessen the impact of road crashes.

Advanced Motion Control and Sensing for Intelligent Vehicles

Advanced Motion Control and Sensing for Intelligent Vehicles
A Book

by Li Li,Fei-Yue Wang

  • Publisher : Springer Science & Business Media
  • Release : 2007-11-24
  • Pages : 448
  • ISBN : 0387444092
  • Language : En, Es, Fr & De
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This book provides the latest information in intelligent vehicle control and intelligent transportation. Detailed discussions of vehicle dynamics and ground-vehicle interactions are provided for the modeling, simulation and control of vehicles. It includes an extensive review of past and current research achievements in the intelligent vehicle motion control and sensory field, and the book provides a careful assessment of future developments.

Intelligent Vehicular Networks and Communications

Intelligent Vehicular Networks and Communications
Fundamentals, Architectures and Solutions

by Anand Paul,Naveen Chilamkurti,Alfred Daniel,Seungmin Rho

  • Publisher : Elsevier
  • Release : 2016-09-02
  • Pages : 242
  • ISBN : 0128095466
  • Language : En, Es, Fr & De
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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

Robotic Transport Auto Driving Development

Robotic Transport Auto Driving Development
A Book

by Johnny Ch Lok

  • Publisher : Unknown Publisher
  • Release : 2021-02-18
  • Pages : 38
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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How artificial intelligent vehicle may interact intelligent transportation toolsCan artificial intelligence (AI) and machine learning (ML) be used in the search for new " consumption" behavioral type variables that affect consumer individual or transportation service organization individual different transportation tools choices, such as road or sea or sky transportation tools? Can artificial intelligent vehicle may interact intelligent transportation tools market development? Consumers usually have bargaining and on risk choice when they are already shopping, such as who need to accept to use any (AI) new technological products to replace human traditional behaviors, such as intelligent non-manual driving transportation market, e.g. cars are needed to be driven by human drivers on road, but it has bargaining and on risky choice, when non-manual (AI) vehicle buyers who need to depend on non-manual artificial intelligent (ML) system assists them to drive their cars on the roads.So, any non-manual driving auto car buyers must need to believe (AI) non-manual driving vehicles (ML) systems can make accurate driving judgement to reduce or avoid any traffic accident occurrences more than human drivers' driving judgement when the (ML) systems are driving their cars on the roads. Then the intelligent vehicle manufacturers will have possible to sell their non-manual driving vehicles success.This is the first reason or idea influences consumer individual choice to buy any kinds of (AI) non-manual driving vehicles, when consumers believe (ML) systems are more safe and make more accurate judgement to compare human or computer systems, when they are sitting in one non-manual auto driving vehicle on the road. The another second reason or idea is that some common limits on driving consumer prediction might be understood as the kinds of errors made by poor implementation of machine learning.Supposing driving consumers believe (AI) machine learning ability is worse to compare to human learning ability. It will also influence driving consumers do not accept to use any (AI) non-manual auto driving vehicles to replace every driver is essential on driving by himself/herself on the road.The third idea or reason is that it is important to influence driving customers believe how (AI) non-manual auto driving technology is used in them can both overcome and exploit human driving skill and safe limits and raise more auto driving safe judgement to compare human driving safe judgement.However, how to predict any kinds of (AI) non-manual driving vehicles future consumption effort, due to different kinds of (AI) non-manual driving transportation vehicles which have different unique functions and designs to be used by different kinds of road transportation or driving demand of consumers. For example, lorry drivers need non-manual intelligent system can help them to drive fast, but safe to assist them to transport cargo to arrive destinations from their factories or offices. Otherwise, private car driver expects whose (AI) non-manual driving vehicle can auto drive to send to whom to arrive destination in safe way and non-too fast and non-too slow speed in order to avoid accident occurrences.

Decision Making, Planning, and Control Strategies for Intelligent Vehicles

Decision Making, Planning, and Control Strategies for Intelligent Vehicles
A Book

by Haotian Cao,Mingjun Li,Song Zhao,Xiaolin Song

  • Publisher : Morgan & Claypool Publishers
  • Release : 2020-07-28
  • Pages : 138
  • ISBN : 168173883X
  • Language : En, Es, Fr & De
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The intelligent vehicle will play a crucial and essential role in the development of the future intelligent transportation system, which is developing toward the connected driving environment, ultimate driving safety, and comforts, as well as green efficiency. While the decision making, planning, and control are extremely vital components of the intelligent vehicle, these modules act as a bridge, connecting the subsystem of the environmental perception and the bottom-level control execution of the vehicle as well. This short book covers various strategies of designing the decision making, trajectory planning, and tracking control, as well as share driving, of the human-automation to adapt to different levels of the automated driving system. More specifically, we introduce an end-to-end decision-making module based on the deep Q-learning, and improved path-planning methods based on artificial potentials and elastic bands which are designed for obstacle avoidance. Then, the optimal method based on the convex optimization and the natural cubic spline is presented. As for the speed planning, planning methods based on the multi-object optimization and high-order polynomials, and a method with convex optimization and natural cubic splines, are proposed for the non-vehicle-following scenario (e.g., free driving, lane change, obstacle avoidance), while the planning method based on vehicle-following kinematics and the model predictive control (MPC) is adopted for the car-following scenario. We introduce two robust tracking methods for the trajectory following. The first one, based on nonlinear vehicle longitudinal or path-preview dynamic systems, utilizes the adaptive sliding mode control (SMC) law which can compensate for uncertainties to follow the speed or path profiles. The second one is based on the five-degrees-of-freedom nonlinear vehicle dynamical system that utilizes the linearized time-varying MPC to track the speed and path profile simultaneously. Toward human-automation cooperative driving systems, we introduce two control strategies to address the control authority and conflict management problems between the human driver and the automated driving systems. Driving safety field and game theory are utilized to propose a game-based strategy, which is used to deal with path conflicts during obstacle avoidance. Driver's driving intention, situation assessment, and performance index are employed for the development of the fuzzy-based strategy. Multiple case studies and demos are included in each chapter to show the effectiveness of the proposed approach. We sincerely hope the contents of this short book provide certain theoretical guidance and technical supports for the development of intelligent vehicle technology.

The Dynamics of Vehicles on Roads and Tracks

The Dynamics of Vehicles on Roads and Tracks
Proceedings of the 24th Symposium of the International Association for Vehicle System Dynamics (IAVSD 2015), Graz, Austria, 17-21 August 2015

by Martin Rosenberger,Manfred Plöchl,Klaus Six,Johannes Edelmann

  • Publisher : CRC Press
  • Release : 2016-03-30
  • Pages : 1626
  • ISBN : 1498777023
  • Language : En, Es, Fr & De
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The IAVSD Symposium is the leading international conference in the field of ground vehicle dynamics, bringing together scientists and engineers from academia and industry. The biennial IAVSD symposia have been held in internationally renowned locations. In 2015 the 24th Symposium of the International Association for Vehicle System Dynamics (IAVSD) was held in Graz, Austria, from 17th to 21st of August 2015. The symposium was hosted by VIRTUAL VEHICLE Research Center, in cooperation with the Graz and Vienna Universities of Technology, and the industrial partners AVL, Magna Steyr, and Siemens. 170 papers (oral and poster presentations) were presented at the symposium and the papers are now published in these proceedings. The papers review the latest research developments and practical applications in highly relevant areas of vehicle dynamics on roads and tracks, and may serve as a reference for researchers and engineers active in the field of vehicle system dynamics.

Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles

Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles
A Book

by Donald L. Fisher,William J. Horrey,John D. Lee,Michael A. Regan

  • Publisher : CRC Press
  • Release : 2020-06-18
  • Pages : 552
  • ISBN : 1351979809
  • Language : En, Es, Fr & De
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Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles Subject Guide: Ergonomics & Human Factors Automobile crashes are the seventh leading cause of death worldwide, resulting in over 1.25 million deaths yearly. Automated, connected, and intelligent vehicles have the potential to reduce crashes significantly, while also reducing congestion, carbon emissions, and increasing accessibility. However, the transition could take decades. This new handbook serves a diverse community of stakeholders, including human factors researchers, transportation engineers, regulatory agencies, automobile manufacturers, fleet operators, driving instructors, vulnerable road users, and special populations. It provides information about the human driver, other road users, and human–automation interaction in a single, integrated compendium in order to ensure that automated, connected, and intelligent vehicles reach their full potential. Features Addresses four major transportation challenges—crashes, congestion, carbon emissions, and accessibility—from a human factors perspective Discusses the role of the human operator relevant to the design, regulation, and evaluation of automated, connected, and intelligent vehicles Offers a broad treatment of the critical issues and technological advances for the designing of transportation systems with the driver in mind Presents an understanding of the human factors issues that are central to the public acceptance of these automated, connected, and intelligent vehicles Leverages lessons from other domains in understanding human interactions with automation Sets the stage for future research by defining the space of unexplored questions

Vehicular Networking for Road Safety

Vehicular Networking for Road Safety
A Book

by Feng Lyu,Minglu Li,Xuemin Shen

  • Publisher : Springer Nature
  • Release : 2020-08-06
  • Pages : 162
  • ISBN : 3030512290
  • Language : En, Es, Fr & De
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The topics addressed in this book are crucial for both the academic community and industry, since the vehicular network has become an essential building block for intelligent transportation systems. The systematic principle of this book provides valuable guidance on the deployment and implementation of V2X-enabled road-safety applications. In addition, this book carries out structured technologies from the MAC layer to the link and network layer, which can provide a general introduction for interested readers with a comprehensive understanding of applying vehicular networks in enhancing road safety, and offers a systematized view for researchers and practitioners in the field of vehicular networks to help them optimize and improve the desired vehicular communication systems. Road safety has always been the first priority for daily commuters on the road. Vehicular networks can be an effective solution to enhance road safety, via which vehicles can exchange cooperative awareness messages rapidly, contributing to better situation awareness and maneuvering cooperation. However, with the fast-changing network topology, intermittent wireless link, and dynamic traffic density, it is challenging to achieve satisfying network performance. This book introduces the background of vehicular networks, provides a comprehensive overview of networking techniques in supporting road-safety applications, states the technical motivations per the MAC, link, and network layer, and proposes/designs vehicular networking technologies at the corresponding layer respectively to guarantee low-latency and reliable V2X communications for road-safety applications. By extending the proposed networking technologies to support all types of vehicular services, this book also outlines open issues and research directions in future 5G and beyond vehicular networks.

The Dynamics of Vehicles on Roads and on Tracks

The Dynamics of Vehicles on Roads and on Tracks
A Book

by Robert Frohling

  • Publisher : CRC Press
  • Release : 2021-06-30
  • Pages : 804
  • ISBN : 1000443523
  • Language : En, Es, Fr & De
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These proceedings provide an authoritative source of information in the field of suspension design, vehicle-infrastructure interaction, mechatronics and vehicle control systems for road as well as rail vehicles. The research presented includes modelling and simulation.

Dynamics of Vehicles on Roads and Tracks

Dynamics of Vehicles on Roads and Tracks
Proceedings of the 25th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2017), 14-18 August 2017, Rockhampton, Queensland, Australia

by Maksym Spiryagin,Timothy Gordon,Colin Cole,Tim McSweeney

  • Publisher : CRC Press
  • Release : 2021-03-19
  • Pages : 1388
  • ISBN : 1351967371
  • Language : En, Es, Fr & De
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The International Symposium on Dynamics of Vehicles on Roads and Tracks is the leading international gathering of scientists and engineers from academia and industry in the field of ground vehicle dynamics to present and exchange their latest innovations and breakthroughs. Established in Vienna in 1977, the International Association of Vehicle System Dynamics (IAVSD) has since held its biennial symposia throughout Europe and in the USA, Canada, Japan, South Africa and China. The main objectives of IAVSD are to promote the development of the science of vehicle dynamics and to encourage engineering applications of this field of science, to inform scientists and engineers on the current state-of-the-art in the field of vehicle dynamics and to broaden contacts among persons and organisations of the various countries engaged in scientific research and development in the field of vehicle dynamics and related areas. IAVSD 2017, the 25th Symposium of the International Association of Vehicle System Dynamics was hosted by the Centre for Railway Engineering at Central Queensland University, Rockhampton, Australia in August 2017. The symposium focused on the following topics related to road and rail vehicles and trains: dynamics and stability; vibration and comfort; suspension; steering; traction and braking; active safety systems; advanced driver assistance systems; autonomous road and rail vehicles; adhesion and friction; wheel-rail contact; tyre-road interaction; aerodynamics and crosswind; pantograph-catenary dynamics; modelling and simulation; driver-vehicle interaction; field and laboratory testing; vehicle control and mechatronics; performance and optimization; instrumentation and condition monitoring; and environmental considerations. Providing a comprehensive review of the latest innovative developments and practical applications in road and rail vehicle dynamics, the 213 papers now published in these proceedings will contribute greatly to a better understanding of related problems and will serve as a reference for researchers and engineers active in this specialised field.

Autonomous Road Vehicle Path Planning and Tracking Control

Autonomous Road Vehicle Path Planning and Tracking Control
A Book

by Levent Guvenc,Bilin Aksun-Guvenc,Sheng Zhu,Sukru Yaren Gelbal

  • Publisher : John Wiley & Sons
  • Release : 2021-12-06
  • Pages : 256
  • ISBN : 1119747961
  • Language : En, Es, Fr & De
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Discover the latest research in path planning and robust path tracking control In Autonomous Road Vehicle Path Planning and Tracking Control, a team of distinguished researchers delivers a practical and insightful exploration of how to design robust path tracking control. The authors include easy to understand concepts that are immediately applicable to the work of practicing control engineers and graduate students working in autonomous driving applications. Controller parameters are presented graphically, and regions of guaranteed performance are simple to visualize and understand. The book discusses the limits of performance, as well as hardware-in-the-loop simulation and experimental results that are implementable in real-time. Concepts of collision and avoidance are explained within the same framework and a strong focus on the robustness of the introduced tracking controllers is maintained throughout. In addition to a continuous treatment of complex planning and control in one relevant application, the Autonomous Road Vehicle Path Planning and Tracking Control includes: A thorough introduction to path planning and robust path tracking control for autonomous road vehicles, as well as a literature review with key papers and recent developments in the area Comprehensive explorations of vehicle, path, and path tracking models, model-in-the-loop simulation models, and hardware-in-the-loop models Practical discussions of path generation and path modeling available in current literature In-depth examinations of collision free path planning and collision avoidance Perfect for advanced undergraduate and graduate students with an interest in autonomous vehicles, Autonomous Road Vehicle Path Planning and Tracking Control is also an indispensable reference for practicing engineers working in autonomous driving technologies and the mobility groups and sections of automotive OEMs.