An integrated wind risk warning model for urban rail transport in Shanghai, China

The integrated wind risk warning model for rail transport presented has four elements: Background wind data, a wind field model, a vulnerability model, and a risk model. Background wind data uses observations in this study. Using the wind field model with effective surface roughness lengths, the background wind data are interpolated to a 30-m resolution grid. In the vulnerability model, the aerodynamic characteristics of railway vehicles are analyzed with CFD (Computational Fluid Dynamics) modelling. In the risk model, the maximum value of three aerodynamic forces is used as the criteria to evaluate rail safety and to quantify the risk level under extremely windy weather. The full model is tested for the Shanghai Metro Line 16 using wind conditions during Typhoon Chan-hom. The proposed approach enables quick quantification of real- time safety risk levels during typhoon landfall, providing sophisticated warning information for rail vehicle operation safety

THE IMPACT OF LIGHT RAIL TRANSIT ON THE URBAN DEVELOPMENT IN DUBAI, UAE

The United Arab Emirates (UAE) has seen significant growth in urban development over the past two decades. To overcome the implication of this development, Dubai’s Roads and Transport Authority (RTA) has called for sustainable transport development at all levels, including the Light Rail Transit (LRT), which is a friendly mass transit system to satisfy the requirements of urban mobility, environmental sustainability, and green power efficiency. The shift towards sustainable mass transport systems has become the ideal choice to overcome the challenges accompanying the growth and development facing cities such as Dubai and to convert them into sustainable environmentally friendly places. Today, Dubai, as a global city, is seeing an extraordinary development of urban projects with a strong emphasis on targeting infrastructure and transportation systems. Therefore, the most sustainable transport system used to enhance urban development is the LRT system which plays a major role in shifting the city toward sustainability. Consequently, the Metro and Tramway systems are recognized as the optimal provision of public transport modes for high-capacity public transport systems in Dubai. This helps to improve infrastructure by promoting connectivity, economy, and a sustainable environment. The research investigates the impact of the Dubai Metro on accelerating Urban Development in Dubai. Urban transformation patterns around the main Metro Stations are analyzed in the study. Population densities, connectivity, and land use patterns were examined. Three main Metro Stations have been selected to study the surrounding urban pattern and population density. These stations namely: Jebel Ali, Al-Barsha, and Business Bay. To achieve the aim of the study, the following objectives are covered: a) to investigate the needs of the sustainable transport system to cope with the urban development requirements. b) examine the population density, connectivity, and accessibility around Metro Stations. c) analyze the impact of Dubai Metro on urban land use. Accordingly, the research approach uses the “Case study method” utilizing quantitative and qualitative tools. Conducting an in-depth examination of the Dubai Metro case study within a particular context which is land use pattern, population density and connectivity. GIS and Spatial Maps, interviews, case study analysis, and land use investigations have been used to reach the findings of this research. The findings indicate that the Jebel Ali district has the largest proportion of development in terms of residential and commercial land use, at 643% and 542%, respectively. In addition, the Al-Barsha district has seen developments in commercial and green space, while the Business Bay district has seen an increase in commercial space, lakes, and a decrease in green areas. Each of the three districts has small buildings surrounding Metro stations, indicating that the development occurred recently and as a result of the metro station

La Paz transportation planning study : final report

abstract: The La Paz Transportation Planning Study was conducted as part of the Planning Assistance for Rural Areas program sponsored by the Arizona Department of Transportation Multimodal Planning Division. This Study developed 5, 10, and 20-year transportation plans, as well as an implementation program, to guide the County, Towns, and the Colorado River Indian Tribes in meeting transportation needs for the Study Area into the future

MethOds and tools for comprehensive impact Assessment of the CCAM solutions for passengers and goods. D1.1: CCAM solutions review and gaps

Review of the state-of-the-art on Cooperative, Connected and Automated mobility use cases, scenarios, business models, Key Performance Indicators, impact evaluation methods, technologies, and user needs (for organisations & citizens)

Intelligent Transportation Related Complex Systems and Sensors

Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures and various other ideas on analytics, trends and applications of transportation-related data

Climate Change Impact Assessment for Surface Transportation in the Pacific Northwest and Alaska

WA-RD 772.

Railway Research

This book focuses on selected research problems of contemporary railways. The first chapter is devoted to the prediction of railways development in the nearest future. The second chapter discusses safety and security problems in general, precisely from the system point of view. In the third chapter, both the general approach and a particular case study of a critical incident with regard to railway safety are presented. In the fourth chapter, the question of railway infrastructure studies is presented, which is devoted to track superstructure. In the fifth chapter, the modern system for the technical condition monitoring of railway tracks is discussed. The compact on-board sensing device is presented. The last chapter focuses on modeling railway vehicle dynamics using numerical simulation, where the dynamical models are exploited

Technology transfer: Transportation

The successful application of aerospace technology to problems related to highways and rail and rapid transit systems is described with emphasis on the use of corrosion resistant paints, fire retardant materials, and law enforcement. Possible areas for the use of spinoff from NASA technology by the California State Department of Corrections are identified. These include drug detection, security and warning systems, and the transportation and storage of food. A communication system for emergency services is also described