Alta velocidad ferroviaria en California(USA): quinta parte (V) LAV San Francisco–Sacramento (Bay Crossing Alternative) = High speed railway in California (USA): fith part (V) HSRL San Francisco–Sacramento (Bay Crossing Alternative)

Implantación de la Red de Alta velocidad Ferroviaria en California. Tramo San Francisco-Sacramento. Este artículo de la serie “Alta velocidad Ferroviaria en California (CHSRS), se ocupa de la línea San Francisco– Sacramento “Bay Crossing Alternative”, que cierra la red de alta velocidad ferroviaria del Estado de California, permitiendo en la terminal HSR de Sacramento, conectar con la línea Fresno–Sacramento, en coincidencia de trazados para en el futuro prolongar la red californiana de alta velocidad ferroviaria hasta su entronque con la del Estado de Nevada, vía Tahoe Lake–Reno. La línea San Francisco–Sacramento “Bay Crossing Alternative”, consta de tres trayectos: El primero de ellos “San Francisco urbano” va desde la terminal HSR “San Francisco Airport”, donde termina la alternativa “Golden Gate” de la línea Fresno–San Francisco, hasta el viaducto de acceso al Paso de la Bahía, que constituye el segundo trayecto “San Francisco–Richmond”, trayecto estrella de la red, de 15,48 Km de longitud sobre la Bahía de San Francisco, con desarrollo a través de 11,28 Km en puente colgante múltiple, con vanos de 800 m de luz y 67 m de altura libre bajo el tablero que permite la navegación en la Bahía. El tercer trayecto “Richmond–Sacramento” cruza la Bahía de San Pablo con un puente colgante de 1,6 Km de longitud y tipología similar a los múltiples de la Bahía de San Francisco, pasa por Vallejo (la por plazo breve de tiempo, antigua capital del Estado de California) y por la universitaria Davis, antes de finalmente llegar a la HSR Terminal Station de Sacramento Roseville. This article of the series “California High Speed Railway System”(CHSRS) treats on Line San Francisco–Sacramento “Bay Crossing Alternative” (BCA). This line closes the system of California high speed state railway, and connects with the line Fresno–Sacramento “Stockton Arch Alternative”, joining its alignments in the HSR Terminal of Sacramento Roseville. From this station it will be possible, in the future, to extend the Californian railway system till the Nevada railway system, vía Tahoe Lake and Reno. The BCA consists of three sections: The first one passing through San Francisco city, goes from HSR San Francisco Airport Terminal Station (where the line Fresno–San Francisco “Golden Gate Alternative” ends), up to the Viaduct access at the Bay Crossing. The second section San Francisco–Richmond, constitutes the star section of the system, with 15,48 Km length on the San Francisco Bay, where 11,28 Km in multi suspension bridge, 800 m span and 67 m gauge under panel, to allow navigation through the Bay. The third section Richmond–Sacramento crosses the San Pablo Bay through another suspension bridge of similar typology to that of San Francisco Bay crossing; pass through Vallejo (the ancient and for a short time Head of the State of California) and through Davis, university city, to arrive to the HSR Terminal Station of Sacramento Roseville.

Designing Rapid Transit Network Design with Alternative routes

The aim of this paper is to propose a model for the design of a robust rapid transit network. In this paper, a network is said to be robust when the effect of disruption on total trip coverage is minimized. The proposed model is constrained by three different kinds of flow conditions. These constraints will yield a network that provides several alternative routes for given origin–destination pairs, therefore increasing robustness. The paper includes computational experiments which show how the introduction of robustness influences network design

Robust rolling stock in rapid transit network

This paper focuses on the railway rolling stock circulation problem in rapid transit networks, in which frequencies are high and distances are relatively short. Although the distances are not very large, service times are high due to the large number of intermediate stops required to allow proper passenger flow. The main complicating issue is the fact that the available capacity at depot stations is very low, and both capacity and rolling stock are shared between different train lines. This forces the introduction of empty train movements and rotation maneuvers, to ensure sufficient station capacity and rolling stock availability. However, these shunting operations may sometimes be difficult to perform and can easily malfunction, causing localized incidents that could propagate throughout the entire network due to cascading effects. This type of operation will be penalized with the goal of selectively avoiding them and ameliorating their high malfunction probabilities. Critic trains, defined as train services that come through stations that have a large number of passengers arriving at the platform during rush hours, are also introduced. We illustrate our model using computational experiments drawn from RENFE (the main Spanish operator of suburban passenger trains) in Madrid, Spain. The results of the model, achieved in approximately 1 min, have been received positively by RENFE planners

Integration of Timetable Planning and Rolling Stock in Rapid Transit Networks

The aim of this paper is to propose an integrated planning model to adequate the offered capacity and system frequencies to attend the increased passenger demand and traffic congestion around urban and suburban areas. The railway capacity is studied in line planning, however, these planned frequencies were obtained without accounting for rolling stock flows through the rapid transit network. In order to provide the problem more freedom to decide rolling stock flows and therefore better adjusting these flows to passenger demand, a new integrated model is proposed, where frequencies are readjusted. Then, the railway timetable and rolling stock assignment are also calculated, where shunting operations are taken into account. These operations may sometimes malfunction, causing localized incidents that could propagate throughout the entire network due to cascading effects. This type of operations will be penalized with the goal of selectively avoiding them and ameliorating their high malfunction probabilities. Swapping operations will also be ensured using homogeneous rolling stock material and ensuring parkings in strategic stations. We illustrate our model using computational experiments drawn from RENFE (the main Spanish operator of suburban passenger trains) in Madrid, Spain. The results show that through this integrated approach a greater robustness degree can be obtained

Robust rolling stock under uncertain demand in rapid transit networks

This paper focuses on the railway rolling stock circulation problem in rapid transit networks where the known demand and train schedule must be met by a given fleet. In rapid transit networks the frequencies are high and distances are relatively short. Although the distances are not very large, service times are high due to the large number of intermediate stops required to allow proper passenger flow. The previous circumstances and the reduced capacity of the depot stations and that the rolling stock is shared between the different lines, force the introduction of empty trains and a careful control on shunting operation. In practice the future demand is generally unknown and the decisions must be based on uncertain forecast. We have developed a stochastic rolling stock formulation of the problem. The computational experiments were developed using a commercial line of the Madrid suburban rail network operated by RENFE (The main Spanish operator of suburban trains of passengers). Comparing the results obtained by deterministic scenarios and stochastic approach some useful conclusions may be obtained.

Rehabilitación, regeneración y renovación urbana en Bilbao la Vieja, San Francisco y Zabala

El artículo analiza el proceso de rehabilitación de los barrios de Bilbao la Vieja, San Francisco y Zabala entre los años 1990 y 2014. El caso es destacable en el panorama de la rehabilitación urbana en España por ser una experiencia de largo recorrido con intervenciones de rehabilitación edificatoria, de renovación urbana y de regeneración urbana, entendidas como multidimensionales desde los primeros planes, y cuyo modelo de gestión, bajo el liderazgo y compromiso institucional, ha ido adaptándose a las circunstancias cambiantes y al desarrollo del propio proceso.

Recovery of Disruptions in Rapid Transit Networks

This paper studies the disruption management problem of rapid transit rail networks. Besides optimizing the timetable and the rolling stock schedules, we explicitly deal with the effects of the disruption on the passenger demand. We propose a two-step approach that combines an integrated optimization model (for the timetable and rolling stock) with a model for the passengers’ behavior. We report our computational tests on realistic problem instances of the Spanish rail operator RENFE. The proposed approach is able to find solutions with a very good balance between various managerial goals within a few minutes. Se estudia la gestión de las incidencias en redes de metro y cercanías. Se optimizan los horarios y la asignación del material rodante, teniendo en cuenta el comportamiento de los pasajeros. Se reallizan pruebas en varias líneas de la red de cercanías de Madrid, con resultados satisfactorios.

Ruinas del convento de San Francisco en La Coruña

Informes oficiales. Ruinas del convento de San Francisco en La Coruña

Railway Rapid Transit timetables with variable and elastic demand.

This paper focuses on the design of railway timetables considering a variable elastic demand profile along a whole design day. Timetabling is the third stage in the classical hierarchical railway planning process. Most of previous works on this topic consider a uniform demand behavior for short planning intervals. In this paper, we propose a MINLP model for designing non-periodic timetables on a railway corridor where demand is dependent on waiting times. In the elastic demand case, long waiting times lead to a loss of passengers, who may select an alternative transportation mode. The mode choice is modeled using two alternative methods. The first one is based on a sigmoid function and can be used in case of absence of information for competitor modes. In the second one, the mode choice probability is obtained using a Logit model that explicitly considers the existence of a main alternative mode. With the purpose of obtaining optimal departure times, in both cases, a minimization of the loss of passengers is used as objective function. Finally, as illustration, the timetabling MINLP model with both mode choice methods is applied to a real case and computational results are shown.

Improving robustness of rolling stock circulations in rapid transit networks

The rolling stock circulation depends on two different problems: the rolling stock assignment and the train routing problems, which up to now have been solved sequentially. We propose a new approach to obtain better and more robust circulations of the rolling stock train units, solving the rolling stock assignment while accounting for the train routing problem. Here robustness means that difficult shunting operations are selectively penalized and propagated delays together with the need for human resources are minimized. This new integrated approach provides a huge model. Then, we solve the integrated model using Benders decomposition, where the main decision is the rolling stock assignment and the train routing is in the second level. For computational reasons we propose a heuristic based on Benders decomposition. Computational experiments show how the current solution operated by RENFE (the main Spanish train operator) can be improved: more robust and efficient solutions are obtained

Robust infraestructure design in rapid transit rail systems

Incidents and rolling stock breakdowns are commonplace in rapid transit rail systems and may disrupt the system performance imposing deviations from planned operations. A network design model is proposed for reducing the effect of disruptions less likely to occur. Failure probabilities are considered functions of the amount of services and the rolling stock’s routing on the designed network so that they cannot be calculated a priori but result from the design process itself. A two recourse stochastic programming model is formulated where the failure probabilities are an implicit function of the number of services and routing of the transit lines.

Software as a service: Undo

This paper proposes a highly automated mechanism to build an undo facility into a new or existing system easily. Our proposal is based on the observation that for a large set of operators it is not necessary to store in-memory object states or executed system commands to undo an action; the storage of input data is instead enough. This strategy simplifies greatly the design of the undo process and encapsulates most of the functionalities required in a framework structure similar to the many object-oriented programming frameworks.

Dynamic analysis using finite elements to calculate the critical wear section of the contact wire in suburban railway overhead conductor rails

The purpose of this study is to determine the critical wear levels of the contact wire of the catenary on metropolitan lines. The study has focussed on the zones of contact wire where localised wear is produced, normally associated with the appearance of electric arcs. To this end, a finite element model has been developed to study the dynamics of pantograph-catenary interaction. The model includes a zone of localised wear and a singularity in the contact wire in order to simulate the worst case scenario from the point of view of stresses. In order to consider the different stages in the wire wear process, different depths and widths of the localised wear zone were defined. The results of the dynamic simulations performed for each stage of wear let the area of the minimum resistant section of the contact wire be determined for which stresses are greater than the allowable stress. The maximum tensile stress reached in the contact wire shows a clear sensitivity to the size of the local wear zone, defined by its width and depth. In this way, if the wear measurements taken with an overhead line recording vehicle are analysed, it will be possible to calculate the potential breakage risk of the wire. A strong dependence of the tensile forces of the contact wire has also been observed. These results will allow priorities to be set for replacing the most critical sections of wire, thereby making maintenance much more efficient. The results obtained show that the wire replacement criteria currently borne in mind have turned out to be appropriate, although in some wear scenarios these criteria could be adjusted even more, and so prolong the life cycle of the contact wire.

Solidly Mounted Resonators with Carbon Nanotube Electrodes for Biosensing Applications

The work reported here shows a direct experimental comparison of the sensitivities of AlN solidly mounted resonators (SMR)-based biosensors fabricated with standard metal electrodes and with carbon nanotube electrodes. SMRs resonating at frequencies around 1.75 GHz have been fabricated, some devices using a thin film of multi-wall carbon nanotubes (CNTs) as the top electrode material and some identical devices using a chromium/gold electrode. Protein solutions with different concentrations were loaded on the top of the resonators and their responses to mass-load from physically adsorbed coatings were investigated. Results show that resonators using CNTs as the top electrode material exhibited higher frequency change for a given load due to the higher active surface area of a thin film of interconnecting CNTs compared to that of a metal thin film electrode and hence exhibited greater mass loading sensitivity. It is therefore concluded that the use of CNT electrodes on resonators for their use as gravimetric biosensors is viable and worthwhile.