Latest ArticlesThe operating mileage and total energy consumption of urban rail transit systems are constantly increasing. To accurately calculate energy consumption, the actual trainside energy consumption formula that considers dynamic motor efficiency and an energy consumption simulation and calculation model based on the singleand multiplemasspoint models of train operation are constructed in this study. First, the energy flow process of the train traction drive system was studied, and the relationship between the efficiency of each component and the train operation state was established. Second, the actual train energy consumption calculation based on electric power was deduced according to the twotable method by combining the efficiency conversion of each component. The factors affecting energy consumption were comprehensively analyzed, and an energy consumption simulation and calculation method considering singleand multimasspoint train models was proposed. Finally, taking the four stations and three intervals of a regional line in China as an example, the results show that the operation energy consumption under either the singleor the multiplemasspoint train operation model achieves a deviation of less than 5% compared with the actual energy consumption, which verifies the accuracy of the proposed energy consumption model. In addition, the operational energy consumption of the multimass model was further reduced by a 1.66% deviation from that of the singlemass model. The proposed model provides theoretical support for the optimization of train energy savings and actively contributes to the development strategy of China's green economy.
Urban rapid transit emerges under the background of the development of the urban circle in China. This study uses the Jingxiong Express Line as an example to explore design standards for urban rapid transit stations that can be popularized. Such stations should have the advantages of both railway and urban rail as well as integrate with urban spatial patterns and urban comprehensive transportation systems. In this study, the characteristics and differences between traditional and urban rail stations are determined. Then, the study analyzes the functional positioning of each station of the Jingxiong Express Line, which is divided
The rail transit Passenger Information System (PIS) utilizes communication and multimedia technology and provides passengers with allround and multiscene information service systems based on a variety of display terminals. To address the drawbacks of the current rail transit Passenger Information System, such as overinvestment in hardware, low deployment and debugging efficiency, long broadcast control transmission link, and poor reliability, this paper proposes a cloud broadcast control technology architecture for the new generation Passenger Information System, which is "system into the cloud and broadcast control into the screen, " and describes in detail the technical advantages brought by the cloud playcontrol architecture through reforming the traditional audio and video transmission modes. The problem regarding picture synchronization on a multidisplay terminal was analyzed. The results show that the cloud playcontrol technology reduces the fault nodes by 50%, improves the deployment and debugging efficiency, achieves intensive construction, and can provide application support for various personalized scenarios f throughout the entire process of passenger travel from arrival to departure, which can provide reference for the subsequent construction of passenger information systems.
This study investigates the reasonable setting of suburban railway curve superelevations in the case of related specifications and standards that are not unified. The principle of prioritizing the allowable values of each superelevation is not clear. By comparing and analyzing the requirements for curve superelevation settings in different codes and by analyzing examples, this paper proposes the maximum and minimum values of design superelevation, the general allowable values for undersuperelevation, oversuperelevation, and difficult situations, and the allowable values for the superelevation slope ratio, taking into account the Code for Design of Railway Track, Code for Design of Suburban Railway, and other industry standards. The priority of design principles of allowable values for different superelevations is obtained, providing guidance for the setting of curve superelevations for new suburban railways and providing a reference for the improvement of industryrelated standards.
Synthetic sleepers of fiberreinforced polyurethane foam were initially applied in urban railway traffic to adapt to the linear induction motor system, and they have been developed into national and heavyhaul railways in recent years. Synthetic sleepers have been widely researched and applied nationwide owing to their excellent overall performance. The technological development history and standards of synthetic sleepers in China were analyzed and compared with foreign and ISO standards. In addition, the application progress, application problems, and solutions were investigated. Suggestions for the development and prospects of polyurethane synthetic sleepers in China were proposed by combining the requirements of domestic rail traffic with the application problems of synthetic sleepers.
Traditional steel struts cannot be tensioned, and the construction of concrete struts is complex and generates considerable construction waste during the demolition phase. Therefore, prestressed steel struts capable against tensile and compressive stresses have been invented. The performance evaluation results of mechanics, construction adaptability, and cost with a prestressed steel strut capable against tensile and compressive stresses show that its compression bearing capacity is the same as that of a traditional steel strut and equivalent to that of a concrete strut. Furthermore, its tensile and strut stiffness performances are equivalent to those of a concrete strut and superior to those of a traditional steel strut. Its construction convenience is equivalent to that of a traditional steel strut and 20%30% lower than that of a concrete strut. The first concrete strut replaced by a prestressed steel strut capable against tensile and compressive stresses for metro excavations can not only ensure technical performance but also result in better economic and social benefits.
In the rapid development phase of urban rail transit, issues such as inadequate emergency response and insufficient emergency handling in unexpected events are addressed. This study presents the design of a digital intelligencebased subway safety and emergency assurance system. The design architecture, application scenarios, functionalities, and key technologies of the system are elaborated. This system integrates diverse sources of data, including hydrological, meteorological, and sensor data, and utilizes emerging technologies, such as digital twins, GIS, and BIM. This system manages the entire emergency process of subway operations, including daily safety monitoring, emergency resource management, emergency plan administration, commands, and dispatch. Moreover, it focuses on enhancing capabilities for dealing with three major emergency scenarios: fires, flood prevention, and high passenger flow. This comprehensive development significantly enhances accident prevention, emergency response, and handling efficiency while elevating the levels of digitization and intelligence in the existing emergency management system.
Studying the distribution characteristics and mechanisms of urban rail transit accidents is important for ensuring operational safety and formulating safety control measures. This study statistically analyzes 425 local and international urban rail transit operation accidents from 1970 to 2022 and compares and analyzes the causes and time distribution characteristics of operation accidents. Based on the cause mechanism and principal component analysis method, a safety evaluation system for urban rail transit operations was constructed, and a combined weight evaluation method based on game theory was proposed. Taking the data of 274 operational accidents in China from 1990 to 2022 as an example, combined with expert scoring, the safety status of urban rail transit operations in China was analyzed from a macro perspective. The results indicated that the factors causing operational accidents included personnel, equipment, and environmental factors. Among them, domestic and foreign operational accidents caused by equipment accounted for the highest proportion of accidents, accounting for 56% and 65% respectively. January, March, July, August, and December were the months with frequent accidents, which were the same as the peak months of passenger flow. The combination weighting method not only considers the amount of information in objective statistical data but also combines the experience accumulation of subjective experts, which makes the evaluation results closer to the actual operation situation and proves the feasibility of the evaluation method.
This study uses multisource big data (e.g., metro card transactions, mobile phone signaling, and points of interest (POIs)) and interpretable machine learning methods (integrating random forest and Shapley additive explanations (SHAP) models) to investigate the nonlinear relationship between stationarea built environments and Chengdu Metro ridership as well as the synergistic effects among built environment variables. The results indicate that the three most important built environment determinants of metro ridership are the floor area ratio, employment density, and road density. Moreover, the SHAP model results reveal the threshold and synergistic effects of the stationarea built environment variables on metro ridership. These findings provide theoretical support and policy insights for transitoriented developmental (TOD) planning and practice.
The complexity of deepexcavation construction arises from the influence of various potential risk factors on the construction procedure. To address this issue, this study introduces an intuitionistic fuzzy TOPSIS method aimed at identifying potential highrisk factors. Initially, potential risk factors were determined through an analysis of the failure modes derived from prior excavation accidents, insights from practical engineering projects, and the expertise of engineering professionals. Subsequently, a risk evaluation hierarchy was established, and weights were assigned to experts and criteria using intuitionistic fuzzy numbers. A practical project involving a deep excavation was conducted to validate the feasibility of the proposed method. The results indicate that the TOPSIS method effectively identified highrisk factors. The developed method serves as a valuable decisionmaking tool for the safety risk analysis and control of excavation construction in similar engineering projects.