Automated vehicles are poised to revolutionise transportation, yet AdvancedDriver Assistance Systems (ADAS) represent the cutting-edge technologyof today.
With the advancements in sensor and computation technologies, connected autonomous vehicle (CAV) services are being tested and deployed on public roads, sharing the road with human- driven vehicles (HVs).
In spite of their importance and potential societal impact, there is currently no comprehensive source of information about vehicular ad hoc networks (VANETs).
The rail human factors/ergonomics community has grown quickly and extensively, and there is much increased recognition of the vital importance of ergonomics/human factors by rail infrastructure owners, rail operating companies, system developers, regulators and national and trans-national government.
This book delves into the critical realm of trust management within the Internet of Vehicles (IOV) networks, exploring its multifaceted implications on safety and security which forms part of the intelligent transportation system domain.
Despite traffic circles, four-way stop signs, lights regulated by timers or sensors, and other methods, the management of urban intersections remains problematic.
In an era where vehicular networks and Location-Based Services (LBS) are rapidly expanding, safeguarding location privacy has become a critical challenge.
Featuring contributions from industry leaders in their respective fields, this volume presents comprehensive, authoritative coverage of all the major issues involved in road vehicle dynamic behavior.
Advanced Chassis Control Technology for Steer-by-Wire Vehicles details state-of-the-art drive-by-wire technology, enabling engineers to create safer and smarter steering technology.
Advanced Chassis Control Technology for Steer-by-Wire Vehicles details state-of-the-art drive-by-wire technology, enabling engineers to create safer and smarter steering technology.
Since the introduction of Automated Vehicles (AVs) on roads, there have been a number of high-profile collisions, which have highlighted significant driver challenges.
Improve the Safety, Flexibility, and Reliability of Autonomous Navigation in Complex EnvironmentsAutonomous Vehicle Navigation: From Behavioral to Hybrid Multi-Controller Architectures explores the use of multi-controller architectures in fully autonomous robot navigation-even in highly dynamic and cluttered environments.
This book features works from world-class experts from academia, industry, and national agencies focusing on a wide spectrum of automotive fields towards humanvehicle harmonization covering in-vehicle signal processing, driver modeling, systems and safety.
Human factors and ergonomics have made considerable contributions to the research, design, development, operation and analysis of transportation systems and their complementary infrastructure.
In this book, recent developments, the future outlook, and advanced and analytical modeling techniques of smart electric and hybrid vehicles are explained with examples backed by experimental and numerical data.
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.
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.
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception.
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception.
This book delves into the complex landscape of autonomous urban mobility, analysing the factors that influence public adoption, stakeholder perspectives, and societal perceptions in this rapidly evolving field.
Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions.
Computational Intelligence in Urban Infrastructure consolidates experiences and research results in computational intelligence and its applications in urban infrastructure.
Computational Intelligence in Urban Infrastructure consolidates experiences and research results in computational intelligence and its applications in urban infrastructure.
La Argentina exhibe una larga y rica historia en materia de industria aeronáutica, con notables desarrollos llevados a cabo por el sector público con epicentro en el complejo fabril asentado en la Provincia de Córdoba.
This book introduces the centralized robust Hinfinity team formation tracking control strategy of multi-unmanned aerial vehicle (multi-UAV) network system under intrinsic random fluctuation, time-varying delay and packet dropout in wireless communication, and external disturbance.
The technology behind self-driving cars is being heavily promulgated as the solution to a variety of transport problems including safety, congestion, and impact on the environment.
The technology behind self-driving cars is being heavily promulgated as the solution to a variety of transport problems including safety, congestion, and impact on the environment.
Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models.
Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models.
This book explores the potential of 5G technologies and beyond in smart city setups, with the availability of high bandwidths and performance, and low latency.
This book explores the potential of 5G technologies and beyond in smart city setups, with the availability of high bandwidths and performance, and low latency.
