The purpose of this book is to explore the ways in which the London Underground/ Tube was ‘mapped’ by a number of writers from George Gissing to Virginia Woolf. From late Victorian London to the end ...of the World War II, ‘underground writing’ created an imaginative world beneath the streets of London. The real subterranean railway was therefore re-enacted in number of ways in writing, including as Dantean Underworld or hell, as gateway to a utopian future, as psychological looking- glass or as place of safety and security.
The book is a chronological study from the opening of the first underground in the 1860s to its role in WW2. Each chapter explores perspectives on the underground in a number of writers, starting with George Gissing in the 1880s, moving through the work of H. G. Wells and into the writing of the 1920s & 1930s including Virginia Woolf and George Orwell. It concludes with its portrayal in the fiction, poetry and art (including Henry Moore) of WW2.
The approach takes a broadly cultural studies perspective, crossing the boundaries of transport history, literature and London/ urban studies. It draws mainly on fiction but also uses poetry, art, journals, postcards and posters to illustrate. It links the actual underground trains, tracks and stations to the metaphorical world of ‘underground writing’ and places the writing in a social/ political context.
This is an Open Access book. This book based on static indicators and dynamic big data from local electric vehicles, is the first New-Energy Vehicles (NEVs) research report on the Big Data in China. ...Using the real-time big data collected by China's National Monitoring and Management Platform for NEVs, this book delves into the main annual technological progress of NEVs, the vehicle operating characteristics, it also anticipates the trend of NEVs industry. Various graphs & charts, detailed data this book offers will familiarize readers with the operation characteristics and practical application of China's NEVs industry and popularize the concept of automobile electrification. Besides, this book also makes an objective evaluation of the current situation and technological improvement of China's NEVs industry, presenting sensible suggestions for the development of the industry. This book is written for government staff, researchers, college staff, and technical staff of automobile and spare parts enterprises, which serves as an important reference for the decision-making of government departments and strategic decisions of automotive companies.
More than a century before the age of airlines, the windy city of Chicago was already the nation's transportation hub. Tightly linked to its railroads, Chicago Union Station provided a way for ...passengers to reach cities from the Atlantic, Pacific, and Gulf coasts. In this stunning book, railroad historian Fred Ash tells the story of Chicago Union Station from its beginning in the mid-1800s, when Chicago dominated Midwest trade and was referred to as the "Railroad Capital of the World." From the swing in the political climate that significantly modified the relationship between the local government and its largest landholders, to the competition between railroad companies at the turn of the 20th century, the station continued to be a center for prosperity. Profiling the fascinating stories of businessmen, politicians, workers, and immigrants whose everyday lives were affected by the bustling transportation hub, Ash documents the impact Union Station had on the growing city and the entire Midwest.
Featuring more than 100 photographs of the famous beaux art architecture,Chicago Union Stationis a beautifully illustrated tribute to one of America's overlooked treasures.
In this paper, we propose a novel wireless scheme that integrates satellite, airborne, and terrestrial networks aiming to support ground users. More specifically, we study the enhancement of the ...achievable users' throughput assisted with terrestrial base stations, high-altitude platforms (HAPs), and satellite stations. The goal is to optimize the resource allocations and the HAPs' locations in order to maximize the users' throughput. In this context, we formulate and solve an optimization problem in two stages: a short-term stage and a long-term stage. In the short-term stage, we start by proposing an approximated solution and a low complexity solution to solve the associations and power allocations. In the approximated solution, we formulate and solve a binary linear optimization problem to find the best associations and then we use the Taylor expansion approximation to optimally determine the power allocations. In the latter solution, we propose a low complexity approach based on a frequency partitioning technique to solve the associations and power allocations. On the other hand, in the long-term stage, we optimize the locations of the HAPs by proposing an efficient algorithm based on a recursive shrink-and-realign process. Finally, selected numerical results underline the advantages provided by our proposed optimization scheme.
Fast charging stations are critical infrastructures to enable high penetration of plug-in electric vehicles (PEVs) into future distribution networks. They need to be carefully planned to meet ...charging demand as well as ensure economic benefits. Accurate estimation of PEV charging demand is the prerequisite of such planning, but a nontrivial task. This paper addresses the sizing (number of chargers and waiting spaces) problem of fast charging stations and presents an optimal planning solution based on an explicit temporal-state of charge characterization of PEV fast charging demand. The characteristics of PEV charging demand are derived through a vehicle travel behavior analysis using available statistics. The PEV dynamics in charging stations is modelled with a Markov chain and queuing theory. As a result, the optimal number of chargers and waiting spaces in fast charging stations can be jointly determined to maximize expected operator profits, considering profit of charging service, penalty of waiting and rejection, as well as maintenance cost of idle facilities. The proposed solution is validated through a case study with mathematical justifications and simulation results.
During the mid-1990s, the Smithsonian Institution's documentary series, Black Radio: Telling It Like It Was, aired on hundreds of public radio stations nationwide. The series explored approximately ...70 years of the history and socio-cultural impact of African Americans in radio - an ambitious and unprecedented undertaking. No previous radio documentary series had attempted to examine, so expansively, this influential subset of the broadcast industry. Given this author's service as one of the producers of this historic series, this paper will provide an insider's perspective on Black Radio's creation and significance, and it will suggest that the series may serve as an inspirational roadmap for future media production and preservation efforts.
Delay/disruption-tolerant networking (DTN) is a networking technology conceived to manage opportunistic connections with no consistent end-to-end link connectivity which is common in both terrestrial ...and space communication environments. DTN is recognized as a baseline technology for implementing deep-space networks. Considered as the primary transport protocol of DTN in space, Licklider transmission protocol (LTP) is expected to provide reliable data delivery service in a challenging networking environment regardless of presence of random link disruptions and/or extremely long propagation delays. The National Aeronautics and Space Administration (NASA) has implemented the use of DTN protocols on the International Space Station (ISS) for data delivery to the earth ground station. However, little work has been done in studying the performance of LTP for reliable data/file delivery in such a communication environment, especially in presence of link disruption. There is a lack of a solid performance evaluation of LTP for its use in the space station communications. In this paper, an analytical framework is presented to evaluate the performance of LTP for reliable file delivery between the space station and the ground stations with a focus on the effect of link disruption, which may occur either over the downlink or over the uplink. The effect of data loss due to channel error is also integrated. Realistic data block transmission experiments using a PC-based experimental infrastructure are conducted to validate the analytical models.
This paper studies siting and sizing of plug-in electric vehicle (PEV) fast-charging stations on coupled transportation and power networks. We develop a closed-form model for PEV fast-charging ...stations' service abilities, which considers heterogeneous PEV driving ranges and charging demands. We utilize a modified capacitated flow refueling location model based on subpaths (CFRLM_SP) to explicitly capture time-varying PEV charging demands on the transportation network under driving range constraints. We explore extra constraints of the CFRLM_SP to enhance model accuracy and computational efficiency. We then propose a stochastic mixed-integer second-order cone programming model for PEV fast-charging station planning. The model considers the transportation network constraints of CFRLM_SP and the power network constraints with ac power flow. Numerical experiments are conducted to illustrate the effectiveness of the proposed method.
Electric vehicle (EV) charging stations will play an important role in the smart city. Uncoordinated and statistical EV charging loads would further stress the distribution system. Photovoltaic (PV) ...systems, which can reduce this stress, also show variation due to weather conditions. In this paper, a hybrid optimization algorithm for energy storage management is proposed, which shifts its mode of operation between the deterministic and rule-based approaches depending on the electricity price band allocation. The cost degradation model of the energy storage system (ESS) along with the levelized cost of PV power is used in the case of EV charging stations. The algorithm comprises of three parts: categorization of real-time electricity price in different price bands, real-time calculation of PV power from solar irradiation data, and optimization for minimizing the operating cost of EV charging station integrated with PV and ESS. An extensive simulation study is carried out with an uncoordinated and statistical EV charging model in the context of Singapore to check effectiveness of this algorithm. Furthermore, detailed analysis of subsidy and incentive to be given by the government agencies for higher penetration of renewable energy is also presented. This work would aid in planning of adoption of PV-integrated EV charging stations, which would expectedly replace traditional gas stations in future.
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