This proceedings book is devoted to the development of environmental analysis of the surface layer of atmospheric air and green areas of urbanized areas. The analysis of scientific and methodological developments for assessing the level of environmental safety of urbanized areas, taking into account the influence of chemical and physical factors, is carried out. The choice of criteria for assessing the ecological state of the surface layer of atmospheric air is theoretically substantiated. The hazard index of the surface layer of atmospheric air, taking into account the influence of chemical and physical factors, and a method of its visual representation are proposed. An assessment of the environmental risk of the influence of the surface layer of the atmosphere was carried out. A quantitative assessment of the energy balance of the green zone is carried out for Kyiv city (Ukraine). Schemes for informing the population about the ecological state of air in real time are developed. The book is for researchers, engineers, as well as lecturers and postgraduates of higher education institutions dealing with issues of atmospheric pollution, ecological safety and urbanization.

Cities for Driverless Vehicles examines the relationship between autonomous vehicles, transport infrastructure requirements and urban forms, as well as explores ways to adopt autonomous vehicles into future cities. With insights drawn from urban planners and professionals across the world, the book informs the reader how our future cities will look, what legal requirements will need to be met, how pedestrians will interact with driverless vehicles, the Mobility as a Service (MaaS) concept and how planners can prepare for the new technological age. Informed research and expert transport modelling is underpinned by international case studies along with the action plans required to make the transition a smooth, orderly and safe one for future generations. With technology changing the face of future travel faster than ever before, the need to be ahead of the curve has never been greater. This forward-thinking book is, therefore, an ideal and necessary purchase for urban and transport planners, infrastructure engineers, vehicle manufacturers, and policy and decision makers tasked with future-proofing urban areas.

This book gathers contributions from researchers and practitioners that foster user-centric, cross-modal and sustainable transport systems in Europe. It reports on cutting-edge approaches discussed within the project MOBILITY4EU, a Coordination and Support Action funded by the European Commission, and presented at the second conference "Towards User Centric Transport in Europe" that took place in Brussels in Fall 2018. The respective papers describe innovative approaches to improving urban mobility and accessibility, achieving zero-emission mobility, and guaranteeing, seamless operations. Co-creation approaches are also discussed. Highlighting technological, socio-economic and political strategies alike, the book provides researches and stakeholders with a comprehensive, timely snapshot of current measures and challenges for the mobility of tomorrow.

This book presents the principal structure, networks and applications of the Global Aeronautical Distress and Safety System (GADSS) for enhanced airborne Communication, Navigation and Surveillance (CNS). It shows how their implementation works to ensure better security in flight and on the airports surface; improved aircraft tracking and determination in real space and time; and enhanced distress alerting, safety; and Search and Rescue (SAR) system for missing, hijacked and landed aircraft at sea or on the ground. Main topics of this book are as follows: an overview of radio and satellite systems with retrospective to aeronautical safety; security and distress systems; space segment with all aspects regarding satellite orbits and infrastructures; transmission segment of radio and satellite systems; ground segment of radio and earth ground stations; airborne radio and satellite antenna systems and propagation; aeronautical VHF and HF Radio CNS systems and networks; Inmarsat, Iridium and Cospas-Sasrast aeronautical satellite CNS systems and networks; Aeronautical Global Satellite Augmentation System (GSAS) and networks; Digital Video Broadcasting - Return Channel via Satellite (DVB-RCS) standards and Aeronautical Stratospheric Platform Systems (SPS) and networks.

This book comprises selected papers from the International Conference on Civil Engineering Trends and Challenges for Sustainability (CTCS) 2019. The book presents latest research in several areas of civil engineering such as construction and structural engineering, geotechnical engineering, environmental engineering and sustainability, and geographical information systems. With a special emphasis on sustainable development, the book covers case studies and addresses key challenges in sustainability. The scope of the contents makes the book useful for students, researchers, and professionals interested in sustainable practices in civil engineering.

This book begins by discussing the problems caused by transportation emissions, the various types of emissions, and the impacts they have on public health, agricultural production, and climate change. The next several chapters then present technologies and policies from around the world, which can be used to solve some of these problems. Finally, the book discusses implications for the future, from both an industrial and governmental point of view.

This book is focused on wireless infrastructure deployment in modern transportation markets, where the wireless infrastructure co-exists with the existing structure. It details the challenges this deployment may face and explores the mitigation measures to overcome the challenges. The book proposes a smart antenna structure to overcome airspace congestion, which improves the overall wireless performance and deployment cost. With the combination of practical know-how and theoretical estimation, this book provides insight on how the modern smart antenna techniques that support most cutting-edge wireless technology can be adopted into the existing infrastructure whilst minimising the distraction to the existing system. This book is suitable for industrial and academic researchers, practising engineers within the field of smart antennae, and wireless infrastructure designers and developers.

In recent years, the control of Connected and Automated Vehicles (CAVs) has attracted strong attention for various automotive applications. One of the important features demanded of CAVs is collision avoidance, whether it is a stationary or a moving obstacle. Due to complex traffic conditions and various vehicle dynamics, the collision avoidance system should ensure that the vehicle can avoid collision with other vehicles or obstacles in longitudinal and lateral directions simultaneously. The longitudinal collision avoidance controller can avoid or mitigate vehicle collision accidents effectively via Forward Collision Warning (FCW), Brake Assist System (BAS), and Autonomous Emergency Braking (AEB), which has been commercially applied in many new vehicles launched by automobile enterprises. But in lateral motion direction, it is necessary to determine a flexible collision avoidance path in real time in case of detecting any obstacle. Then, a path-tracking algorithm is designed to assure that the vehicle will follow the predetermined path precisely, while guaranteeing certain comfort and vehicle stability over a wide range of velocities. In recent years, the rapid development of sensor, control, and communication technology has brought both possibilities and challenges to the improvement of vehicle collision avoidance capability, so collision avoidance system still needs to be further studied based on the emerging technologies. In this book, we provide a comprehensive overview of the current collision avoidance strategies for traditional vehicles and CAVs. First, the book introduces some emergency path planning methods that can be applied in global route design and local path generation situations which are the most common scenarios in driving. A comparison is made in the path-planning problem in both timing and performance between the conventional algorithms and emergency methods. In addition, this book introduces and designs an up-to-date path-planning method based on artificial potential field methods for collision avoidance, and verifies the effectiveness of this method in complex road environment. Next, in order to accurately track the predetermined path for collision avoidance, traditional control methods, humanlike control strategies, and intelligent approaches are discussed to solve the path-tracking problem and ensure the vehicle successfully avoids the collisions. In addition, this book designs and applies robust control to solve the path-tracking problem and verify its tracking effect in different scenarios. Finally, this book introduces the basic principles and test methods of AEB system for collision avoidance of a single vehicle. Meanwhile, by taking advantage of data sharing between vehicles based on V2X (vehicle-to-vehicle or vehicle-to-infrastructure) communication, pile-up accidents in longitudinal direction are effectively avoided through cooperative motion control of multiple vehicles.

Spurred by global macro-economic shifts, commercial and financial turbulence, as well as technological leaps in the early years of the new millennium, the Danish shipping industry has changed dramatically since the turn of the century. This book provides a new understanding of how rapid business environmental changes frame strategic choices and industry structures. The authors combine a conceptual chapter with three selected business history cases to apply a methodical approach to their study. Together, the five chapters unveil patterns in the development of Danish shipping which are historical and, at the same time, consider questions that address the present situation and the challenges of our time. In other words, this short book uses history for the purpose of understanding the present and to develop thinking for the future.

This is the sixth volume of a sub series on Road Vehicle Automation published within the Lecture Notes in Mobility. The contents have been provided by researchers, engineers and analysts from all around the world. Topics covered include public sector activities, human factors and challenges, ethical, legal, energy and technology perspectives, vehicle systems development, as well as transportation infrastructure and planning. The book is based on the Automated Vehicles Symposium held on July 9-12, 2018 in San Francisco, CA (USA).

This book presents the latest, most interesting research efforts regarding Intelligent Transport System (ITS) technologies, from theory to practice. The book's main theme is "Mobility for everyone by ITS"; accordingly, it gathers a range of contributions on human-centered factors in the use or development of ITS technologies, infrastructures, and applications. Each of these contributions proposes a novel method for ITS and discusses the method on the basis of case studies conducted in the Asia-Pacific region. The book are roughly divided into four general categories: 1) Safe and Secure Society, 2) ITS-Based Smart Mobility, 3) Next-Generation Mobility, and 4) Infrastructure Technologies for Practical ITS. In these categories, several key topics are touched on with each other such as driver assistance and behavior analysis, traffic accident and congestion management, vehicle flow management at large events, automated or self-driving vehicles, V2X technologies, next-generation public transportation systems, and intelligent transportation systems made possible by big data analysis. In addition, important current and future ITS-related problems are discussed, taking into account many case studies that have been conducted in this regard.

This proceedings volume examines individual city transports, transport companies and entire transport systems. Featuring select contributions presented at the 2018 TranSopot Conference in Sopot, Poland, this book provides an analysis of transportation solutions both at the micro-level (single city or single company) as well as the macro-level (whole transportation systems). The enclosed research and case studies provide a theoretical background for transport analysis but also new innovative and sustainable solutions to transportation while also increasing the efficiency of transport operations. Transportation is a very specific area of social and economic life. It creates countless opportunities and fulfills the need for mobility while also generating significant cost-direct for the company or indirect to societies. Planning and organizing transport is a task which requires a multi-level approach with a focus on operational, ecological and financial aspects. At a time in which many transport systems are unable to grow extensively due to lack of space or increased cost, these activities are even more crucial. The enclosed research from researchers, scholars and practitioners provides not only new theories but also empirical data and practical experience. The TranSopot 2018 conference is a continuation of a long series of conferences devoted to the topic of transport sector development. The goal of the conference is to exchange current trends and spread the results of current research into the fields of transport growth, development and management.

This book discusses the multiple systems that make commercial jet travel safe and convenient. The author starts by tracing the evolution of commercial jets from the Boeing 707 to the double decker Airbus A380. The next 7 chapters discuss flight controls, along with the high lift surfaces (flaps and slats) that are essential to allow high speed, low drag aircraft to take-off and land. The other systems include Engines/Nacelles, Cabin Pressurization and Air Conditioning systems, Landing Gear and brakes, Fuel Systems, Instruments/Sensors, and finally Deicing systems for the wings, nacelles and external air speed sensors. Case studies describe a significant accident that arose from a failure in the various systems described. The final chapter summarizes the past 60 years of jet travel and describe how these systems have created a cheaper, safer mode of travel than any other.

Automobiles have played an important role in the shaping of the human civilization for over a century and continue to play a crucial role today. The design, construction, and performance of automobiles have evolved over the years. For many years, there has been a strong shift toward electrification of automobiles. It started with the by-wire systems where more efficient electro-mechanical subsystems started replacing purely mechanical devices, e.g., anti-lock brakes, drive-by-wire, and cruise control. Over the last decade, driven by a strong push for fuel efficiency, pollution reduction, and environmental stewardship, electric and hybrid electric vehicles have become quite popular. In fact, almost all the automobile manufacturers have adopted strategies and launched vehicle models that are electric and/or hybrid. With this shift in technology, employers have growing needs for new talent in areas such as energy storage and battery technology, power electronics, electric motor drives, embedded control systems, and integration of multi-disciplinary systems. To support these needs, universities are adjusting their programs to train students in these new areas of expertise. For electric and hybrid technology to deliver superior performance and efficiency, all sub-systems have to work seamlessly and in unison every time and all the time. To ensure this level of precision and reliability, modeling and simulation play crucial roles during the design and development cycle of electric and hybrid vehicles. Simscape, a Matlab/Simulink toolbox for modeling physical systems, is an ideally suited platform for developing and deploying models for systems and sub-systems that are critical for hybrid and electric vehicles. This text will focus on guiding the reader in the development of models for all critical areas of hybrid and electric vehicles. There are numerous texts on electric and hybrid vehicles in the market right now. A majority of these texts focus on the relevant technology and the physics and engineering of their operation. In contrast, this text focuses on the application of some of the theories in developing models of physical systems that are at the core of hybrid and electric vehicles. Simscape is the tool of choice for the development of these models. Relevant background and appropriate theory are referenced and summarized in the context of model development with significantly more emphasis on the model development procedure and obtaining usable and accurate results.

This book explores the application of breakthrough technologies to improve transportation performance. Transportation systems represent the "blood vessels" of a society, in which people and goods travel. They also influence people's lives and affect the liveability and sustainability of our cities. The book shows how emergent technologies are able to monitor the condition of the structure in real time in order to schedule the right moment for maintenance activities an so reduce the disturbance to users. This book is a valuable resource for those involved in research and development in this field. Part I discusses the context of transportation systems, highlighting the major issues and challenges, the importance of understating human factors that could affect the maintenance operations and the main goals in terms of safety standards. Part II focuses on process-oriented innovations in transportation systems; this section stresses the importance of including design parameters in the planning, offering a comparison between risk-based and condition-based maintenance and, lastly, showing applications of emergent technologies. Part III goes on to reflect on the technical-oriented innovations, discussing the importance of studying the physical phenomena that are behind transportation system failures and problems. It then introduces the general trend of collecting and analyzing big data using real-world cases to evaluate the positive and negative aspects of adopting extensive smart sensors for gathering information on the health of the assets. The last part (IV) explores cultural and behavioural changes, and new knowledge management methods, proposing novel forms of maintenance and vocational training, and introduces the need for radical new visions in transportation for managing unexpected events. The continuous evolution of maintenance fields suggests that this compendium of "state-of-the-art" applications will not be the only one; the authors are planning a collection of cutting-edge examples of transportation systems that can assist researchers and practitioners as well as students in the process of understanding the complex and multidisciplinary environment of maintenance engineering applied to the transport sector.

The book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES-STS 2019). Modern transportation systems have undergone a rapid transformation in recent years. This has produced a range of vehicle technology innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations and breakthroughs in Smart Transportation Systems, as well as transport infrastructure modeling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.

This book elaborates the science and engineering basis for energy-efficient driving in conventional and autonomous cars. After covering the physics of energy-efficient motion in conventional, hybrid, and electric powertrains, the book chiefly focuses on the energy-saving potential of connected and automated vehicles. It reveals how being connected to other vehicles and the infrastructure enables the anticipation of upcoming driving-relevant factors, e.g. hills, curves, slow traffic, state of traffic signals, and movements of nearby vehicles. In turn, automation allows vehicles to adjust their motion more precisely in anticipation of upcoming events, and to save energy. Lastly, the energy-efficient motion of connected and automated vehicles could have a harmonizing effect on mixed traffic, leading to additional energy savings for neighboring vehicles. Building on classical methods of powertrain modeling, optimization, and optimal control, the book further develops the theory of energy-efficient driving. In addition, it presents numerous theoretical and applied case studies that highlight the real-world implications of the theory developed. The book is chiefly intended for undergraduate and graduate engineering students and industry practitioners with a background in mechanical, electrical, or automotive engineering, computer science or robotics.

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.

Examine the Prevalence and Geography of Road Collisions Spatial Analysis Methods of Road Traffic Collisions centers on the geographical nature of road crashes, and uses spatial methods to provide a greater understanding of the patterns and processes that cause them. Written by internationally known experts in the field of transport geography, the book outlines the key issues in identifying hazardous road locations (HRLs), considers current approaches used for reducing and preventing road traffic collisions, and outlines a strategy for improved road safety. The book covers spatial accuracy, validation, and other statistical issues, as well as link-attribute and event-based approaches, cluster identification, and risk exposure. The book provides a brief summary of the evolution of road safety in the twentieth century, explores current road safety problems, and establishes road safety as a public health issue. The authors discuss risk and socioeconomic factors, lifestyle and behavior, and the impact of urban development. They consider road engineering, signage, vehicle design, the education of road users, and the enforcement of traffic safety measures. They also factor in the overall impact of road traffic collisions on transportation systems, economic systems, health systems, and society as a whole. Combines theoretical methodology with empirical data Bridges research and practice in road safety Includes case studies from around the world Spatial Analysis Methods of Road Traffic Collisions takes a look at spatial methods and their role in analyzing road traffic collisions to improve road safety. A great addition to transportation safety practice and research, this book serves as a reference for spatial analysis researchers and postgraduate students in traffic and transportation engineering, transport, and urban transport planning.

This book studies the design optimization, state estimation, and advanced control methods for cyber-physical vehicle systems (CPVS) and their applications in real-world automotive systems. First, in Chapter 1, key challenges and state-of-the-art of vehicle design and control in the context of cyber-physical systems are introduced. In Chapter 2, a cyber-physical system (CPS) based framework is proposed for high-level co-design optimization of the plant and controller parameters for CPVS, in view of vehicle's dynamic performance, drivability, and energy along with different driving styles. System description, requirements, constraints, optimization objectives, and methodology are investigated. In Chapter 3, an Artificial-Neural-Network-based estimation method is studied for accurate state estimation of CPVS. In Chapter 4, a high-precision controller is designed for a safety-critical CPVS. The detailed control synthesis and experimental validation are presented. The application results presented throughout the book validate the feasibility and effectiveness of the proposed theoretical methods of design, estimation, control, and optimization for cyber-physical vehicle systems.

This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors' classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible.

This book addresses the challenges of planning sustainable freight transport systems (road and air) in a time when the industry faces increasing pressure from environmental limits, climate change, carbon emission targets, bottlenecks in oil supply, infrastructure shortages and urban congestion. The author examines sustainable freight transport over the last 45 years on three continents, and includes developments on transport economics, logistics and transport geography as well as environmental economics. Readers will gain valuable insight on a number of practices and methodologies that will assist in making their systems more sustainable with fewer negative environmental effects at both the local and global level.

This contributed volume contains the conference proceedings of the Simulation of Urban Mobility (SUMO) conference 2015, Berlin. The included papers cover a wide range of topics in traffic planning and simulation, including intermodal simulation, intermodal transport, vehicular communication, modeling urban mobility, open data as well as autonomous driving. The target audience primarily comprises researchers and experts in the field of mobility research, but the book may also be beneficial for graduate students.

Elisabeth Schmidt investigates the effect of thermal stimulation during passive driver fatigue in a series of driving simulator experiments. Thermal stimulation of the upper body resulted in significantly decreased subjective fatigue ratings as well as an increase in pupil diameter and skin conductance. The effects of different stimulus temperatures, durations, lower leg cooling and repetitive cooling were also examined. The studies show that thermal stimulation of the upper body causes physiological and subjective effects, which can be associated with a short-term sympathetic activation, whereas lower leg cooling does not cause physiological activation.

The next generation of autonomous vehicles will provide major improvements in traffic flow, fuel efficiency, and vehicle safety. Several challenges currently prevent the deployment of autonomous vehicles, one aspect of which is robust and adaptable vehicle control. Designing a controller for autonomous vehicles capable of providing adequate performance in all driving scenarios is challenging due to the highly complex environment and inability to test the system in the wide variety of scenarios which it may encounter after deployment. However, deep learning methods have shown great promise in not only providing excellent performance for complex and non-linear control problems, but also in generalizing previously learned rules to new scenarios. For these reasons, the use of deep neural networks for vehicle control has gained significant interest. In this book, we introduce relevant deep learning techniques, discuss recent algorithms applied to autonomous vehicle control, identify strengths and limitations of available methods, discuss research challenges in the field, and provide insights into the future trends in this rapidly evolving field.