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"The 5th edition of Railway management and engineering (enlarged and extended, now under the title Railway Planning, Management, and Engineering) maintains its tradition of offering an innovative scientific approach to tackle a multitude of vital aspects of railways, to understand in-depth the origins and inter-relationships of the many situations and phenomena, and to suggest the appropriate methods and solutions to solve the various emerging problems. The book deals successively with planning, management, track, rolling stock, safety, and environment. Each chapter of the book contains the necessary theoretical analysis of the phenomena studied, the recommended solutions, applications, charts, and design of the specific railway component. In this way, both the requirement for a theoretical analysis is met, and the need of the railway planner, manager, and engineer for tables, nomographs, regulations, etc. is satisfied. Regulations of the International Union of Railways (UIC) as well as European Standardization (CEN) and European Technical Specifications for Interoperability (TSIs) have been used to the greatest extent possible. New features within this 5th edition include a new chapter on safety and level crossings, extended analysis covering both freight and urban rail systems, technological evolutions of high-speed trains and hyperloop systems, applications of artificial intelligence and big data to railway problems, actualization of all statistical and economic data, recent changes in planning, legislation and policy of railways, hydrogen trains, and enrichment throughout of the many implications of increased digitalization and automation. The book is written for railway managers, economists and engineers, consulting economists and engineers. It will also be of direct relevance to students of engineering, transportation, economics, and management."
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Looking back at the impact of Britain's Big Four railway companies, 100 years later.
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Sociology of cultural policy --- Railway traffic --- Esperanto
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What is the future of our train stations? More and more ticket offices are closing and many stops today only look desolate. Still, more and more commuters are finding their way to the smaller stations, also far outside the city, now that the traffic jams are increasing again. In dialogue with the province of Antwerp, the NMBS and the municipalities involved, the master's program in Urban and Spatial Planning at the University of Antwerp examined how such a station could be more than just a train stop. What could such a station mean for the neighborhood and the entire municipality? And what is needed to be able to speak of a successful and feasible station project? This ONTO bundles three semesters of analysis, design and implementation studies of four station environments in the Antwerp Kempen and studies how station development can be synonymous with core reinforcement Wat is de toekomst van onze treinstations? Steeds meer loketten sluiten en vele haltes kennen vandaag maar een troosteloze aanblik. Toch vinden steeds meer forenzen opnieuw de weg naar de kleinere stations, ook ver buiten de stad, nu de files opnieuw aanzwellen. In dialoog met de provincie Antwerpen, de NMBS en de betrokken gemeenten onderzocht de masteropleiding Stedenbouw & Ruimtelijke Ordening van de Universiteit Antwerpen hoe zo'n station meer zou kunnen zijn dan enkel een treinhalte. Wat zou zo'n station voor de buurt en de hele gemeente kunnen betekenen? En wat is er nodig om van een geslaagd en haalbaar stationsproject te kunnen spreken? Deze ONTO bundelt drie semesters aan analyse-, ontwerp- en implementatiestudies van vier stationsomgevingen in de Antwerpse Kempen en bestudeert hoe stationsontwikkeling synoniem kan staan voor kernversterking.
Sociology of environment --- Railway traffic --- Architecture
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This book tells the story of a short-line railroad that allowed many visitors to explore Yosemite. From 1907 to 1945, it ran from Merced, California to the edge of the Yosemite Valley, ending at El Portal. Passengers could then stagecoach or later motor coach through the beautiful park, then rejoin the train and proceed home. It also hauled lumber, cement, miner's gear, and the U.S. mail. Eventually progress in the shape of Lake McClure forming a dam over some of the tracks, the sale of the Portland cement factory to Kaiser and establishing State Route 140 that allowed automobile access stopped revenue for the line. It stopped running in 1945, but many remember the adventure with warm memories.
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The investigation of rail vehicle running dynamics plays an important role in the more than 200 year development of railway vehicles and infrastructure. Currently, there are a number of new requirements for rail transport associated with the reduced environmental impact, energy consumption and wear, whilst increasing train speed and passenger comfort. Therefore, the running dynamics of rail vehicles is still a research topic that requires improved simulation tools and experimental procedures. The book focuses on the current research topics in railway vehicles running dynamics. Special attention is given to high-speed railway transport, acoustic and vibrational impact of railway transport to the surroundings, optimization of energy supply systems for railway transport, traction drives optimization and wear of wheels and rails.
Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- wear --- turnout --- rail --- stiffness --- high-speed --- dynamic characteristics --- traction drive system --- direct torque control --- electromechanical coupling modeling --- variable conditions --- rail vehicle --- rail infrastructure --- threshold effect --- dynamics --- numerical simulations --- testing --- optimal controller --- traction drive --- vector control system --- railway noise --- high-speed railways --- environmental impact --- energy saving --- control by forecast --- power limit of consumption --- railway transport infrastructure object --- simulation in the daily cycle --- n/a
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With the Internet of Things and various information and communication technologies, a city can manage its assets in a smarter way, constituting the urban development vision of a smart city. This facilitates a more efficient use of physical infrastructure and encourages citizen participation. Smart energy and smart mobility are among the key aspects of the smart city, in which the electric vehicle (EV) is believed to take a key role. EVs are powered by various energy sources or the electricity grid. With proper scheduling, a large fleet of EVs can be charged from charging stations and parking infrastructures. Although the battery capacity of a single EV is small, an aggregation of EVs can perform as a significant power source or load, constituting a vehicle-to-grid (V2G) system. Besides acquiring energy from the grid, in V2G, EVs can also support the grid by providing various demand response and auxiliary services. Thanks to this, we can reduce our reliance on fossil fuels and utilize the renewable energy more effectively. This Special Issue “Smart Energy and Intelligent Transportation Systems” addresses existing knowledge gaps and advances smart energy and mobility. It consists of five peer-reviewed papers that cover a range of subjects and applications related to smart energy and transportation.
Technology: general issues --- History of engineering & technology --- electric vehicles --- PROSA --- PROMETHEE for Sustainability Assessment --- MCDA --- Multi-Criteria Decision Analysis --- stochastic analysis --- Monte Carlo --- uncertainty --- cargo bicycles --- loading hub --- facility location problem --- computer simulations --- Python programing --- electric vehicle charging --- vehicle-to-grid --- genetic algorithms --- particle swarm optimization --- demand-side management --- discrete choice theory --- revenue management --- road–railway accidents --- classification trees --- road safety --- transport means --- accidents victims --- condition monitoring --- vibroacoustic diagnostics --- gearbox --- power transmission systems --- neural networks --- deep learning --- n/a --- road-railway accidents
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With the Internet of Things and various information and communication technologies, a city can manage its assets in a smarter way, constituting the urban development vision of a smart city. This facilitates a more efficient use of physical infrastructure and encourages citizen participation. Smart energy and smart mobility are among the key aspects of the smart city, in which the electric vehicle (EV) is believed to take a key role. EVs are powered by various energy sources or the electricity grid. With proper scheduling, a large fleet of EVs can be charged from charging stations and parking infrastructures. Although the battery capacity of a single EV is small, an aggregation of EVs can perform as a significant power source or load, constituting a vehicle-to-grid (V2G) system. Besides acquiring energy from the grid, in V2G, EVs can also support the grid by providing various demand response and auxiliary services. Thanks to this, we can reduce our reliance on fossil fuels and utilize the renewable energy more effectively. This Special Issue “Smart Energy and Intelligent Transportation Systems” addresses existing knowledge gaps and advances smart energy and mobility. It consists of five peer-reviewed papers that cover a range of subjects and applications related to smart energy and transportation.
electric vehicles --- PROSA --- PROMETHEE for Sustainability Assessment --- MCDA --- Multi-Criteria Decision Analysis --- stochastic analysis --- Monte Carlo --- uncertainty --- cargo bicycles --- loading hub --- facility location problem --- computer simulations --- Python programing --- electric vehicle charging --- vehicle-to-grid --- genetic algorithms --- particle swarm optimization --- demand-side management --- discrete choice theory --- revenue management --- road–railway accidents --- classification trees --- road safety --- transport means --- accidents victims --- condition monitoring --- vibroacoustic diagnostics --- gearbox --- power transmission systems --- neural networks --- deep learning --- n/a --- road-railway accidents
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