Subjects -> TRANSPORTATION (Total: 216 journals)
    - AIR TRANSPORT (9 journals)
    - AUTOMOBILES (26 journals)
    - RAILROADS (10 journals)
    - ROADS AND TRAFFIC (9 journals)
    - SHIPS AND SHIPPING (39 journals)
    - TRANSPORTATION (123 journals)

RAILROADS (10 journals)

Showing 1 - 9 of 9 Journals sorted alphabetically
International Journal of Rail Transportation     Hybrid Journal   (Followers: 2)
Jernbanehistorie     Full-text available via subscription   (Followers: 3)
Journal of Rail Transport Planning & Management     Hybrid Journal   (Followers: 28)
Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit     Hybrid Journal   (Followers: 15)
Railway Engineering Science     Open Access   (Followers: 2)
Railway Gazette International     Full-text available via subscription  
Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport     Open Access   (Followers: 9)
Urban Rail Transit     Open Access   (Followers: 2)
Електромагнітна сумісність та безпека на залізничному транспорті     Open Access   (Followers: 1)
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Urban Rail Transit
Journal Prestige (SJR): 0.514
Citation Impact (citeScore): 1
Number of Followers: 2  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2199-6687 - ISSN (Online) 2199-6679
Published by SpringerOpen Homepage  [260 journals]
  • Prediction of Rail Contact Fatigue on Crossings Using Image Processing and
           Machine Learning Methods

    • Abstract: In this paper, an application of computer vision and machine learning algorithms for common crossing frog diagnostics is presented. The rolling surface fatigue of frogs along the crossing lifecycle is analysed. The research is based on information from high-resolution optical images of the frog rolling surface and images from magnetic particle inspection. Image processing methods are used to pre-process the images and to detect the feature set that corresponds to objects similar to surface cracks. Machine learning methods are used for the analysis of crack images from the beginning to the end of the crossing lifecycle. Statistically significant crack features and their combinations that depict the surface fatigue state are found. The research result consists of the early prediction of rail contact fatigue.
      PubDate: 2019-06-01
       
  • Electrical Components of Maglev Systems: Emerging Trends

    • Abstract: Consistently rising environmental concerns and depleting petroleum resources have accentuated the need of sustainable, energy efficient and clean means of transport. This has provided the impetus to the research and development of clean alternatives for existing public transportation systems. Development of linear motor-propelled, contact-less maglev systems is considered a promising alternative to conventional on-wheel rail transport technology. Maglev technology primarily focuses on improving the performance, speed, fuel economy, driving range and operating cost of the transit system. These parameters vary with the design and efficiency of the electrical system used in maglev-based transportation systems. To present this study, firstly, a detailed survey of the important constituents of a maglev electrical system has been carried out with techno-economic perspectives. Contemporary maglev technologies have then explored along with their respective advantages and limitations. Electrical systems form the heart of maglev systems and, therefore, this paper presents the components of a standard electrical system together with the comparative analysis in terms of present trends, on-going technological advancements and future challenges.
      PubDate: 2019-06-01
       
  • Contribution of Artificial Intelligence to Risk Assessment of Railway
           Accidents

    • Abstract: In the design, development, and operation of a rail transport system, all the actors involved use one or more safety methods to identify hazardous situations, the causes of hazards, potential accidents, and the severity of the consequences that would result. The main objective is to justify and ensure that the design architecture of the transportation system is safe and presents no particular risk to users or the environment. As part of this process of certification, domain experts are responsible for reviewing the safety of the system, and are being brought in to imagine new scenarios of potential accidents to ensure the exhaustiveness of such safety studies. One of the difficulties in this process is to determine abnormal scenarios that could lead to a particular potential accident. This is the fundamental point that motivated the present work, whose objective is to develop tools to assist certification experts in their crucial task of analyzing and evaluating railway safety. However, the type of reasoning (inductive, deductive, by analogy, etc.) used by certification experts as well as the very nature of the knowledge manipulated in this certification process (symbolic, subjective, evolutionary, empirical, etc.) justify that conventional computer solutions cannot be adopted; the use of artificial intelligence (AI) methods and techniques helps to understand the problem of safety analysis and certification of high-risk systems such as guided rail transport systems. To help experts in this complex process of evaluating safety studies, we decided to use AI techniques and in particular machine learning to systematize, streamline, and strengthen conventional approaches used for safety analysis and certification.
      PubDate: 2019-06-01
       
  • Performance Optimization of Public Transport Using Integrated AHP–GP
           Methodology

    • Abstract: The State Road Transport Undertakings (SRTUs) are the economic providers of mass transport in India. The institutional constraints imposed on the SRTUs result in low productivity and inefficiency. In this fiercely competitive environment, the state-owned public transport industry cannot operate sustainably, showing mediocre performance. With relatively scarce financial resources, high political expectations, and competition between operators, the efficiency and performance of the industry must be improved by optimizing the available resources. In this study, an integrated analytical hierarchy process–goal programming technique considering both operators’ and users’ perceptions is used for performance optimization. The methodology starts with the selection of various performance indicators, considering both operators’ and users’ perceptions. The decision variables are then categorized into user-oriented and operator-oriented. The analytical hierarchy process (AHP), a multicriteria decision-making tool, is then used to evaluate the decision variables and calculate their weights to be used as penalties in goal programming (GP). Pairwise comparison of decision variables on the AHP rating scale was carried out by experts associated with bus transportation and academia. This was used to assign weights to the variables to denote their priority based on their importance. Then, these weights were assigned to the objective function of the GP problem to find a solution that minimizes the weighted sum of deviations from the goal values. As a case study, performance optimization of the Kerala State Road Transport Corporation was undertaken. Twelve decision variables were identified, by taking into account both user and operator perceptions, viz. controllable costs, noncontrollable costs, taxes, staff per bus ratio (fleet operated), safety, accessibility, regularity, load factor, fleet utilization, percentage of dead kilometers to effective kilometers, journey speed, and percentage of cancelled kilometers to scheduled kilometers. The perceived importance of each of these decisive factors from both the users’ and operators’ perspectives was obtained from the experts and prioritized using the AHP. The results indicated that operator cost and staff per schedule were the most important variables for the operators, while safety of travel had the highest weighting according to the users’ perceptions. The optimal solution indicated that increasing the accessibility, safety, and regularity would attract passengers to public transport, which would in turn improve the load factor and influence operators to maximize fleet utilization and reduce cancellation of schedules. Moreover, the solution also suggested that decreasing the staff per bus would further reduce the operating cost. Furthermore, sensitivity analysis was carried out to identify the impact of variations in the decision variables on the performance of the system. The presented method could be used for performance evaluation and optimization of urban rail, metro, and various other public transport systems.
      PubDate: 2019-06-01
       
  • A Systems Design Study Introducing a Collection Point for Baggage Transfer
           Services at a Railway Station in the UK

    • Abstract: Railway transport has shown a steady growth in passenger numbers over the past 20 years across the UK. Passengers travel with luggage. It has been forecasted that there will be a reduction of “luggage racks-to-seats” ratio in the future passenger train fleet. There are currently no baggage transfer systems at any of the train stations as part of the urban rail transit system in the UK. Hence, the purpose of this study is to investigate the possibility of having a baggage transfer service at Newcastle Central Station, which can serve different travel destinations. A simulation modelling study of different parts of the baggage check-in shop within the railway station is offered. Check-in point, movement of luggage around Newcastle Central, baggage reclaims and storage areas have been contemplated and evaluated using SIMUL8 event-based simulation package. The results for the simulation model developed show that a baggage transfer service at Newcastle Central Station is possible with a mixture of walk-in and online check-in options.
      PubDate: 2019-06-01
       
  • Correction to: Development and Comparison of Algorithms to Derive Vehicle
           Location from Speed Profile Data

    • Abstract: The first sentence of should be “The rapid increases in the quantity of data being gathered from technological systems such as railways can be used to improve their design and operation”.
      PubDate: 2019-03-01
       
  • Level of Service Analysis for Metro Station with Transit Cooperative
           Research Program (TCRP) Manual: A Case Study—Shohada Station in Iran

    • Abstract: One of the main infrastructures in rail transportation is metro station. Obviously, analyzing and improving the capacity of the stations will ultimately lead to improved performance of the overall network. The capacity of metro station is the ability of the station and its associated spaces to create safety and comfort for the number of passengers expected to use the station. In this research, volume of passengers in the Shohada Square metro station has been used and simulated using VISSIM software. By the results of the simulation and regarding TCRP manual, six scenarios were analyzed in this research and different conditions were evaluated. Two main solutions for improving the performance of station were considered. It shows that the decision to remove the manual ticket purchase location will result in a 43% improvement in the performance of control space section and the approach to reducing the headway of trains from 240 s to 180 s will increase the amount of accessible space for each pedestrian in the platform to 35%. The method presented in this study can be used to evaluate and analyze other metro stations and even other transportation network stations.
      PubDate: 2019-03-01
       
  • Open-Source Public Transportation Mobility Simulation Engine DTALite-S: A
           Discretized Space–Time Network-Based Modeling Framework for Bridging
           Multi-agent Simulation and Optimization

    • Abstract: Recently, an open-source light-weight dynamic traffic assignment (DTA) package, namely DTALite, has been developed to allow a rapid utilization of advanced dynamic traffic analysis capabilities. Aiming to bridge the modeling gaps between multi-agent simulation and optimization in a multimodal environment, we further design and develop DTALite-S to simplify the traffic flow dynamic representation details in DTALite for future extensions. We hope to offer a unified modeling framework with inherently consistent space–time network representations for both optimization formulation and simulation process. This paper includes three major modeling components: (1) mathematic formulations to describe traffic and public transportation simulation problem on a space–time network; (2) transportation transition dynamics involving multiple agents in the optimization process; (3) an alternating direction method of multipliers (ADMM)-based modeling structure to link different features between multi-agent simulation and optimization used in transportation. This unified framework can be embedded in a Lagrangian relaxation method and a time-oriented sequential simulation procedure to handle many general applications. We carried out a case study by using this unified framework to simulate the  passenger traveling process in Beijing subway network which contains 18 urban rail transit lines, 343 stations, and 52 transfer stations. Via the ADMM-based solution approach, queue lengths at platforms, in-vehicle congestion levels and absolute deviation of travel times are obtained within 1560 seconds.The case study indicate that the open-source DTALite-S integrates simulation and optimization procedure for complex dynamic transportation systems and can efficiently generate comprehensive space-time traveling status.
      PubDate: 2019-03-01
       
  • Development and Comparison of Algorithms to Derive Vehicle Location from
           Speed Profile Data

    • Abstract: The rapid increases in the quantity of data being gathered regarding technological systems such as railways can promote improvements in their design and operation. Combining information from different datasets allows more in-depth analysis, such as using train location data to enhance the analysis of speed profiles and energy consumption. Positioning systems such as GPS are frequently used to obtain this information, but are not necessarily always available, such as in underground metro systems. The focus of this paper is therefore the development of algorithms to derive train location information from measured speed profile data and network topology. Two different algorithms were developed to extract individual station-to-station journeys from an example consisting of a dataset of speed profiles and energy consumption from an urban rail system, and four classification algorithms were developed to identify the station pairs associated with each journey. It was found that the best-performing approach for this task was to compare the cumulative distance of a group of several consecutive journeys against a database of station-to-station distances to find the best match. This was more resilient than constructing sequences of consecutive journeys from possible matches in a database of station-to-station distances and orders of magnitude faster than heuristic algorithms.
      PubDate: 2019-03-01
       
  • Design of Passenger Aerial Ropeway for Urban Environment

    • Abstract: Aerial ropeway is an effective alternative to the conventional modes of land public transport in metropolitan areas and cities. Construction of passenger aerial ropeways in urban environment is a very costly enterprise in terms of engineering and economics, and requires significant financial resources. This article is aimed at the development of the design method of the passenger aerial ropeway, ensuring the reduction in its construction cost. For this purpose, the individual components of the construction cost are considered, and the approximate calculation dependencies are proposed. It is shown that the cost of the aerial ropeway is mainly influenced by the installation step, height of intermediate towers and carrying rope tension. The task of the conditional nonlinear optimization of the given parameters is formulated and solved in the research. This task ensures the minimum cost of the aerial ropeway. The optimization task is done by taking into account possible limitations on the ropeway laying in the severely urbanized environment (the terrain, urban infrastructure arrangement, altitude performance of the urban development, technical characteristics of the carrying rope, etc.). Implementing the solution findings of the given optimization task makes it possible to significantly reduce the construction cost of aerial ropeways in urban environment.
      PubDate: 2019-03-01
       
  • The Hell-Bound Bandwagon: Train Rooftop Riding in Lagos Metropolis,
           Nigeria

    • Abstract: Media reports on train mishaps and havocs emanating from rooftop riding abound; however, there has been very limited effort on the empirical investigation of why daredevils embark on this utter suicide mission. Besides, studies that rigorously examined profiles of the perpetrators of the dastardly act are hard to come by in the literature of railway transport. Against this background, this study examined the menace of train rooftop riding in Lagos Metropolis, Nigeria, with a view to evolving a policy response that could curtail the life-threatening nuisance. Towards achieving this aim, specific objectives were formulated. These were to examine the socioeconomic characteristics of train rooftop riders in Lagos Metropolis, determine the motivations for train rooftop riding in the study area, assess the efforts made by the authorities to discourage train rooftop riding in the study area, and proffer policy recommendations towards engendering a safe rail transport milieu. Data were obtained through participant observation, interview and questionnaire administration. The respondents comprised 64 conveniently sampled rooftop riders, 183 law-abiding passengers of three Diesel Multiple Units and three Mass Transit Trains selected using multistage sampling, and the 113 staff members of the Nigerian Railway Corporation consisting of 20 engineers, 79 conductors and 14 ticket vendors. The study found that train rooftop riding had defied all the measures taken against it in the study area. It characterized most trips but was prevalent at the morning and evening peak periods (35.2% and 59.2%, respectively). All the rooftop riders were middle-aged men. None of them admitted to ever falling off before; however, 28 (43.8%) admitted to being scared of falling off, while 40 (62.5%) boasted they could not possibly fall off. Two categories of motivations for rooftop riding were found: ‘perceived’ and ‘real’. Smoking (47.0%), substance abuse (23.0%) and criminal tendencies (19.7%) were among the perceived motivations, while space inadequacy (37.5%), queue avoidance (50.0%) and adventure (34.4%) were among the real motivations. Given an overall improvement in the railway services, 28 (43.8%) would stop, 18 (28.1%) would not stop, and 18 (28.1%) were unsure they would stop rooftop riding. The study concluded that the menace of train rooftop riding was undesirable. Consequently, practical policy recommendations were proffered towards curbing the menace.
      PubDate: 2019-03-01
       
  • Tramways in Urban Areas: An Overview on Safety at Road Intersections

    • Abstract: Although the accident number involving trams is comparatively very limited to the total road accident number, the consequences of tram crashes are very serious, especially when pedestrians are run over. The new power supply technologies (e.g. catenary-free systems) allow to build tram networks, even in old town centres and pedestrian areas, with additional increased risk of pedestrian casualties. This will require specific design solutions and traffic regulations for road safety as described in this paper, with particular regard to vulnerable users (i.e. pedestrians and cyclists), especially near intersections and pedestrian crossings. Therefore, the research analyses the road accident rate and its evolution in the last 10 years with specific focus on Italian tramways. The main risk conditions and the strategies used worldwide to improve the safety of tramway system in the urban context are described. The main countermeasures to reduce accident risks are aimed at better warning road users of specific risk conditions. Other countermeasures are designed to install suitable facilities on road platforms for better informing users of tramway system, for limiting or temporarily prohibiting turning movements or manoeuvrings and for properly channelling pedestrian and vehicle flows with the purpose to avoid or reduce interference with trams.
      PubDate: 2018-12-01
       
  • Advanced Digital Tools for Updating Overcrowded Rail Stations: Using Eye
           Tracking, Virtual Reality, and Crowd Simulation to Support Design
           Decision-making

    • Abstract: This paper describes an innovative integration of eye tracking (ET) with virtual reality (VR) and details the application of these combined technologies for the adaptive reuse redesign of the Wudaokou rail station in Beijing. The objective of the research is to develop a hybrid approach, combining ET and VR technologies, as part of an experimental study of how to improve wayfinding and pedestrian movement in crowded environments such as those found in urban subway stations during peak hours. Using ET analysis, design features such as edges, and color contrast are used to evaluate several proposed rail station redesigns. Through VR and screen-based ET, visual attention and related spatial responses are tracked and analyzed for the selected redesign elements. This paper assesses the potential benefits of using ET and VR to assist identification of station design elements that will improve wayfinding and pedestrian movement, and describes how the combination of VR and ET can influence the design process. The research concludes that the combination of VR and ET offers unique advantages for modeling how the design of rail transit hub interiors can influence the visual attention and movement behavior of those using the redesigned station. This is especially true for crowded conditions in complex interior spaces. The use of integrated ET and VR technology is shown to inform innovative design approaches for facilitating improved wayfinding and pedestrian movement within redesigned rail stations.
      PubDate: 2018-12-01
       
  • Dispatching and Rescheduling Tasks and Their Interactions with Travel
           Demand and the Energy Domain: Models and Algorithms

    • Abstract: The paper aims to provide an overview of the key factors to consider when performing reliable modelling of rail services. Given our underlying belief that to build a robust simulation environment a rail service cannot be considered an isolated system, also the connected systems, which influence and, in turn, are influenced by such services, must be properly modelled. For this purpose, an extensive overview of the rail simulation and optimisation models proposed in the literature is first provided. Rail simulation models are classified according to the level of detail implemented (microscopic, mesoscopic and macroscopic), the variables involved (deterministic and stochastic) and the processing techniques adopted (synchronous and asynchronous). By contrast, within rail optimisation models, both planning (timetabling) and management (rescheduling) phases are discussed. The main issues concerning the interaction of rail services with travel demand flows and the energy domain are also described. Finally, in an attempt to provide a comprehensive framework an overview of the main metaheuristic resolution techniques used in the planning and management phases is shown.
      PubDate: 2018-12-01
       
  • Private Financing or Not, That is the Question: Lessons from the Light
           Rail Systems in Spain

    • Abstract: The objective of this paper is to analyze if there is any difference between the light rail systems in Spain according to whether they have been carried out through public financing or private financing (totally or partially). The importance of this study lies in the fact that, for decades, the public–private partnership has been proposed as an alternative to public financing of public transport projects in order to obtain additional financial resources, reduce the public deficit, and increase efficiency. However, there are hardly any detailed studies describing how these initiatives have turned out. Therefore, the present study analyzes if there is any difference in the main variables explaining the performance of light rail projects in Spain depending on their source of funding can be found. For this, the relationship between variables related to design, operation and costs of the projects, and the percentage of private financing were statistically analyzed. As the most relevant conclusion, we underline the fact that the investment per passenger increases when financing is completely private. This would indicate that the most cost-effective lines, from a social standpoint, were financed totally or partially by the public administrations, whereas the least beneficial ones for society were assigned to private enterprises. This finding provides an advance in the knowledge of the consequences of private participation in the financing of public transport projects, indicating, moreover, that the biggest beneficiaries of this type of projects might be the construction companies and the politicians involved.
      PubDate: 2018-12-01
       
  • Research on Quantitative Demand of Underground Space Development for Urban
           

    • Abstract: Under the background of the rapid development of urban rail transit in China, the development demand of urban underground space has also greatly increased especially in the rail transit station areas. In this paper, taking the high-speed railway station area of Xuzhou Metro Line 1 as an example, the underground space development demand evaluation is conducted by considering the principle of urban underground space stock planning, the local underground space development conditions, as well as the special planning of the local urban constructions. Using the Analytic Hierarchy Process (AHP), a specific weight indicator scale is employed after the rationality of different weight indicator scales being compared. And then the weight indicator of different function types, i.e., commercial, parking, road, etc., are calculated and laterly utilized to forecast the recent development demand of underground space in the station area. Moreover, the steps to forecast the underground space development demand in rail transit station area are proposed, which can provide a reference for the forecasting of underground space development demand in the urban rail transit station areas.
      PubDate: 2018-12-01
       
  • Transforming Abandoned Rail Corridors into Multi-purpose Trails: Applying
           a Spatial Hedonic Approach to Estimating the Economic Benefits of the
           Little Miami Scenic Trail in Cincinnati, Ohio, USA

    • Abstract: This research assesses the appreciation in residential property values in connection with proximity to the Little Miami Scenic Trail, a multi-purpose biking, hiking, and jogging trail built along an abandoned railroad corridor near Cincinnati, Ohio, USA. Applying two spatial hedonic frameworks, the spatial lag of X (SLX) model and the spatial Durbin error model, we conclude that proximity to trail entrances had significant impacts on property values for both, Euclidean and network distance measures. Specifically, the SLX results indicate that decreasing the distance to the closest trail entrance by one foot (meter) increases a house’s property value by US$0.92 (US$3.02) when using network distances.
      PubDate: 2018-12-01
       
  • The CESuRa System: Allowing Changes in a Rail Track Profile While
           Maintaining Full Vertical Support

    • Abstract: A light rail passenger transportation system is being built in Seattle, WA, USA, that traverses Lake Washington over an existing pontoon bridge. The water level in Lake Washington changes throughout the year. This causes rotations of the transition spans, which are needed at each end of the bridge to carry traffic between the fixed, land-based structure, and the floating structure. This paper explains a novel method, the Curved Element Supported Rail (CESuRa) system, that provides rails with the ability to undergo joint rotations at the ends of the transitions spans without risk of damage, while maintaining full vertical support of the track across the joint. The geometric characteristics on which it depends for proper operation, considerations that must be accounted for when using the system for other applications in the future, and an overview of the implementation of the system on the floating bridge are discussed.
      PubDate: 2018-12-01
       
  • Urban Rail Transit Provides the Necessary Access to a Metropolitan Area: A
           Case Study of Portland, Oregon, USA

    • Abstract: Access to good public transit for low-socioeconomic communities has been an important concern in transportation planning and urban studies research. In Portland, Oregon, USA, the rapid growth of housing prices and rents in the urban core has caused displacement of low-income residents to peripheral and suburban neighborhoods where housing is more affordable. Because public transit is generally more limited in the urban periphery and suburbs, there is concern that the low-income suburban residents may have more limited access to Portland’s light rail transit service than more affluent residents do. This study examines the relationships between the light rail transit accessibility and socioeconomic status—income, race and ethnicity—in the Portland metro area. Light rail transit accessibility is compared for all income and racial/ethnic groups across four access zones. Multinomial logistic econometric models were used to measure likelihood differences of being located in different access zones between each demographic group. The results show that there is no significant barrier for low-income and racial and ethnic minority residents to access urban rail transit in Portland. The results suggest that despite low-income residents’ movement to the suburbs, Portland’s urban rail transit system continues to serve all residents by providing cohesive connections between the urban core, periphery and suburbs.
      PubDate: 2018-12-01
       
  • The Experiment Analysis of Bonding Performance between Near Surface
           Mounted CFRP Strip and Concrete at Different Curing Temperatures

    • Abstract: To investigate the bonding performance of near-surface mounted (NSM) carbon fiber-reinforced polymer (CFRP) technique under different curing temperatures, a total of five test specimens strengthened with NSM CFRP strip were tested by direct pull-out methods. The strain of CFRP strip, interfacial bonding shear stress, ultimate load and failure mode were analyzed through the test. The experiment results showed that the ultimate load and bonding shear stress of the specimens increased gradually when curing temperature was lower than the glass transition temperature (Tg) of the bond material. Afterward, they gradually decreased with the increase in temperature. The bonding shear stress was gradually transmitted from the loading end to the free end. The failure modes were changed from CFRP strip–adhesive interface bonding failure to CFRP strips fracture failure with the temperature rising. In this paper, the bonding performance experiment results of NSM CFRP strip could provide a reference for the rapid strengthening of monorail traffic track beams.
      PubDate: 2018-09-01
       
 
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