Typical Station Research Articles

Multi-Step Peak Passenger Flow Prediction of Urban Rail Transit Based on Multi-Station Spatio-Temporal Feature Fusion Model

Accurate prediction of station passenger flow is crucial for optimizing rail transit efficiency, but peak passenger flow in urban rail transit (URT) is often disrupted by random events, making predictions challenging. In this paper, in order to solve this challenge, the Bi-graph Graph Convolutional Spatio-Temporal Feature Fusion Network (BGCSTFFN)-based model is introduced to capture complex spatio-temporal correlations. A combination of a graph convolutional neural network and a Transformer is used. The model separately inputs land use (point of interest, POI) and station adjacency information as features into the BGCSTFFN model, using the Pearson correlation coefficient matrix, which is evaluated on real passenger flow dataset from 1 to 25 January 2019 in Hangzhou. The results showed that the model consistently provided the best prediction results across different datasets and prediction tasks compared to other baseline models. In addition, in tasks involving predictions with different combinations of inputs and prediction steps, the model showed superior performance at multiple prediction steps. Its practical application is validated by comparing the results of passenger flow prediction for different types of stations. In addition, the impact of these features on the prediction accuracy and the generalization ability of the model were verified by designing ablation experiments and testing on different datasets.

A platform noise dataset of various types of subway stations during all operating hours

The subjective perceptions of passengers are intricately linked to the noise levels in subway stations of urban rail transit systems. In this study, comprehensive measurement was conducted on the noise environment on the platforms during operational hours at four distinct types of subway stations within an urban metro network. To ensure precise data collection, four different noise and sound pressure measurement points were strategically positioned in the middle and at both ends of each station platform. Subsequently, the platform noise data was continuously monitored throughout the operation period, yielding a time series of original data on sound pressure levels for standardized continuous measurement of the platform. The collected results spanning the entire operation period were organized into hourly sets, encompassing information on noise sources such as vehicles entering and leaving the station, the opening and closing of train doors, and platform announcements. This dataset provides original data on noise sources at subway platforms throughout the all-day train operation period, aiding researchers in understanding the sources and levels of noise at subway station platforms. Additionally, this research supports noise control on subway platforms and provides a scientific basis for predicting the acoustic environment of rail transit stations and improving the platform acoustic environment.

Long-Term Oncological Outcomes Related to Lymphadenectomy in Clinical Stage I NSCLC: A Multicenter Retrospective Experience.

Lymphadenectomy is considered a key part of the radical treatment of resectable lung cancer, although its appropriate extension in early stages is a debated topic due to the great heterogeneity of studies in the literature. This study aims to evaluate the impact of lymphadenectomy extent on survival and recurrence in the treatment of early-stage NSCLC patients undergoing lobectomy and lymph node dissection. Data from clinical stage I NSCLC patients undergoing lobectomy and hilar-mediastinal lymphadenectomy at two thoracic surgery centers from 2016 to 2019 were retrospectively evaluated. Information regarding perioperative outcomes and lymphadenectomy details was collected and analyzed, and their impact on OS, CSS, and DFS was assessed. During the period under review, 323 patients with stage cI lung cancer underwent lobectomy with lymphadenectomy. Statistical analysis showed that the evaluated lymph nodal factors (mean number of lymph nodes removed and number and type of lymph node station explored) did not statistically significantly impact OS, CSS, and DFS at a median follow-up of 59 months (IQR 45-71). The results of this study suggest that a less invasive procedure than systematic lymphadenectomy could be performed in early-stage cases with adequate preoperative staging.

Booming solar energy drives land value enhancement: Evidence from 648 photovoltaic projects in China

Land use of photovoltaic (PV) facilities has always been a pressing research field, as the transition to renewable energy requires balancing between land productivity and energy generation. A comprehensive assessment of PV land use benefits is crucial for informed deployment decisions. Here, we propose a multidimensional land use analysis framework, focusing on power generation, production, ecology, and their co-benefits, aiming to assess the impact of PV applications on land use and to quantify the ensuing changes in land value. The results show that PV deployment significantly increases land values. Specifically, the power generation value of PV land in China ranges from 1.90×105 to 5.09×105CNY/hm2; the production value brought by agricultural development ranges from 6.28×104 to 1.53×105CNY/hm2, and the value of ecosystem services provided by the land ranges from 2.43×104 to 8.95×104CNY/hm2. From a power station type perspective, the development potential for agricultural PV systems in optimizing layout and flexible use is infinite. This system can create tremendous increments in land value. Building desert-based PV plants provides the highest appreciation multiple for arid areas’ land resources while bringing sustainable economic and ecological prosperity. This study contributes to a better understanding of the current impact of PV deployment on land resources, and helps policymakers and stakeholders find intrinsic linkages between energy and the economy, ecology, and the environment, thus guiding and steering a more sustainable development of renewable energy planning and land use optimization in China.

AI-based optimization of EM radiation estimates from GSM base stations using traffic data

The fast expansion of mobile networks has sparked worries regarding base station EM radiation's health impacts. Traffic load is commonly ignored when evaluating EM radiation levels using maximum power output. This study proposes utilizing AI and ML on real network traffic data to optimize GSM base station EM radiation estimations. We obtained EM radiation measurements and traffic data from selecting GSM base stations by location and configuration. To predict EM radiation levels, traffic patterns were used to train linear regression, random forests, and neural networks. Base stations were clustered by radiation profile using unsupervised learning. Considering regulatory restrictions and measurement feasibility, an optimization methodology was created to minimize EM radiation estimate inaccuracy. The results show better prediction accuracy than power-based estimations and high generalisability across base station types. Site-specific factors influenced daily EM radiation patterns after clustering. EM radiation levels can be monitored using traffic data and the optimized AI/ML model. This research helps telecom operators and regulators analyze EM radiation more accurately and efficiently. Future projects should include 5G and small cell network extensions and intelligent city platform integration. The suggested method develops data-driven, AI-powered Public Safety and mobile network trust solutions.

A Comprehensive Analysis of the Impact of an Increase in User Devices on the Long-Term Energy Efficiency of 5G Networks

The global deployment of fifth-generation (5G) mobile networks, especially in urban cities, is dedicated to accommodating the demand for high data rates and reliable wireless communications. While the latest 5G networks improve service quality, the support for a simultaneous serving of more user devices (UDs) with higher data rates than previous mobile network generations will require a massive installation of different 5G base station (BS) types dominantly in urban cities. Besides contributing to the smart city service improvements, this massive installation of heterogeneous 5G BSs will also contribute to the increase in 5G network energy consumption (EC) and carbon dioxide emissions. Since this increase in installed 5G BSs imposes environmental and economic challenges, this paper analyzes the impact of the continuously rising number of 5G UDs on the energy efficiency (EE) of the radio part of Croatian and Dutch 5G networks as example cases in the period of 2020s. Analyses consider the countries’ rural, suburban, urban, and dense urban UD density areas by utilizing the proposed simulation framework for the EE evaluation of 5G heterogeneous networks (HetNet) valued through standardized mobile networks EE metrics. The study examines four proposed BS installation and operation scenarios for reducing energy costs of 5G networks that differ in optimizing energy consumption via different BS installations, sleep modes, and transmission power scaling techniques. The obtained results indicate that dynamic adaptation of BS deployments and radio resource management during operation according to the increase in the number of UDs and corresponding DVs can enhance 5G HetNet EE. The findings provide valuable insights for mobile network operators looking to optimize 5G network EE in the upcoming decade.

Model test study on the mechanical characteristics of shallowly buried covered excavation PBA station construction

The shallowly buried covered excavation PBA method is one of the new construction methods that has attracted widespread attention in the past 20 years. Understanding the deformation of strata and supporting structures is key to ensuring the safe construction of PBA stations at present. Relying on the Beijing Line 12 Beitaipingzhuang PBA subway station and based on the 1:40 model test, the production of similar materials for the model and the station excavation construction plan are introduced. According to the actual construction process of the station, the construction process of the two stations of the pile foundation and strip foundation stations are more realistic. The variations in the strata around the station and the station structure during the whole construction process are obtained. The test results show that the ground displacement of the station is most affected by the excavation of the pilot tunnel, accounting for more than two-thirds of the total displacement, and the ground within the range of 0–12 m around the station is greatly affected by the excavation disturbance during the actual construction process. By analyzing and comparing the ground displacements and the internal forces of the vertical bearing structure of the two types of stations, it is concluded that the pile foundation method is more advantageous for controlling ground displacement and the internal force of the structure. These test results improve design theory of the PBA method and are conducive to further promotion.

Seismic performance of near-fault girder bridges based on laminated rubber bearings under the impact of sequential earthquakes

Strong aftershocks frequently follow near-fault earthquakes, exacerbating the damage to bridges already impacted by the main shock. However, current seismic design codes worldwide overlook the adverse effects of aftershocks on near-fault bridges. Therefore, it is imperative to conduct research on the seismic performance of near-fault girder bridges under sequential earthquakes. This study proposes a seismic isolation design for near-fault girder bridges subjected to sequential earthquakes, utilizing laminated rubber bearings, sacrificial shear keys, and cable-type unseating prevention devices. Seismic ground motion records from typical stations during the Turkey-Syria earthquakes were collected to assess the seismic safety of bridges. Nonlinear time-history analysis systematically investigated the seismic displacements of the laminated rubber bearings and girder, as well as the seismic damage of shear keys and pier. The results show that the lateral displacement of the girder induced by the sequential earthquake was approximately 1.5 times greater than that caused by a single main shock, while the longitudinal displacement of the girder remained similar. The seismic isolation design proposed in this study not only controlled the relative displacement between the piers and the girder but also effectively protected the pier from severe seismic damage, ensuring the bridge’s functionality after the sequential earthquake.

Passenger flow prediction at rail transit station entrances and exits: A case study of Beijing

Accurate prediction of passenger flow at station entrances and exits is a hot topic in rail transit passenger flow prediction work, and provides important support for the refined and humanized design of stations. This paper comprehensively considers factors such as land use around the station, traffic connection conditions, station attributes and attractiveness, and constructs a two-layer passenger flow prediction model, including traffic zone layer passenger flow prediction based on multivariate nonlinear regression and entrance and exit layer passenger flow prediction based on the CRITIC method. Based on available data, the model first predicts the total passenger flow at all entrances and exits in the traffic zone, and then distributes the total passenger flow to each entrance and exit of the traffic zone. Different types of rail transit stations were randomly selected to verify the effectiveness of the model. The results show that the error between the model prediction value and the actual value of the daily entrance and exit volume is within , and the average error is , which has a high prediction accuracy.

IPA Analysis and optimization of pedestrian environment at railway stations in Guangdong-Hong Kong and Macao: An example of six typical stations

Due to the increasing urbanization and growing regional integration, the Guangdong-Hong Kong-Macao Greater Bay Area is progressively transforming into a globally recognized metropolitan cluster. Rail transit is an effective and eco-friendly kind of public transport that plays a crucial role in fostering regional economic connections and facilitating people's movement. It has become the primary option for inhabitants when it comes to travelling. This study examines the influence of the walking environment's quality on passenger travel experience (the overall satisfaction and comfort felt by passengers when walking in a rail station area), station attractiveness (the degree of attractiveness of a rail station to passengers, which is usually determined by a combination of a number of factors, such as accessibility, safety, and interest of the station area) , and the overall livability of the city (the overall quality of life that a rail station area provides to Residents, including the quality of the environment, infrastructure, public services) . It does so by analyzing the walking environments of six representative rail transit stations in the Guangdong-Hong Kong-Macao Greater Bay Area, using the Walking Demand Hierarchy Theory as a basis. The study employed the IPA model to evaluate 20 crucial characteristics of the pedestrian environment. The findings revealed variations in the performance of different stations with regard to accessibility, safety, identification, functionality, and enjoyment. The differences provide a reference point for further optimizing the pedestrian environment in the Greater Bay Area rail station areas.

PPP time transfer using an adaptive clock constraint model

ABSTRACT In the processing of Precise Point Positioning (PPP) data, the receiver clock is approached with nearly infinite uncertainty, rendering it difficult to fulfill the requirements of high-precision time frequency applications. Therefore, a receiver clock model is essential. In this study, we first analyze the “over-constraint” problem in the existing clock model and subsequently propose a new clock model, called the Adaptive Clock Constraint (ACC) model, which relies on a sliding window to update covariance and frequency characteristics parameters in real-time. To verify the robustness of the ACC model, three experiments were conducted, and the results show that the ACC model not only is suitable for different types of atomic clock stations but also has superior frequency stability and time transfer precision in contrast to the BIPM PPP, the IGS products and White Noise (WN) model results. Using the optical fiber results as a time reference, the STD of the time difference between the ACC model and optical fiber results is 0.13 ns and the frequency stability is 1.28 × 10−16 on average for one week, representing improvements of more than 10% and 15% compared with the BIPM PPP results.

Numerical study on flow field of high-speed train passing through a new type of station

With the growing demand for efficient travel, tunnels are being lengthened and train speeds are being increased. High-speed subway brings new challenges to the flow environment of tunnel. Additionally, the emergence of express trains passing through stations without stopping has an enormous impact on the tunnel's and the station's flow field. This study focuses on a new type of station (NS) with overtaking and avoidance lines, allowing slow trains to stop for passengers to get on and off, while express trains pass through without stopping. The study analyzes pressure variation and wind speed when express trains pass through the NS without stopping. Different train speeds are taken into account. Based on this, the enhancement of station ventilation by utilizing the piston winds generated by express trains passing through NS is investigated. The air exchange effect and energy savings of the NS are explored. The results indicate that enhancing station air exchanges by fully utilizing piston wind saves about 190.68 kWh/day in mechanical ventilation energy consumption. This study contributes to the improvement of subway station construction and the advancement of subway train development. It can offer data assistance and theoretical direction for high-speed train operations.

Simulation and application analysis of a hybrid energy storage station in a new power system

As the proportion of renewable energy infiltrating the power grid increases, suppressing its randomness and volatility, reducing its impact on the safe operation of the power grid, and improving the level of new energy consumption are increasingly important. For these purposes, energy storage stations (ESS) are receiving increasing attention. This article discusses the structure, working principle, and control methods of grid-following and grid-forming energy-storage converters, which are currently commonly used. A simulation analysis was conducted to investigate their dynamic response characteristics. The advantages and disadvantages of two types of energy storage power stations are discussed, and a configuration strategy for hybrid ESS is proposed. This paper presents research on and a simulation analysis of grid- forming and grid-following hybrid energy storage systems considering two types of energy storage according to different capacity scenarios. Finally, a comparative analysis between the systems is presented. A simulation model was established using PSD-BPA (Power System Department-Bonneville Power Administration) to analyze the impact of the capacity ratio of grid-following and grid-forming ESS on their dynamic response characteristics in a hybrid ESS. In addition, a development direction for future ESSs is indicated.

Cellular automaton model for the analysis of design and plan of bus station in the mixed traffic environment

With the quick development of Connected Autonomous Vehicles (CAVs), CAVs would gradually become an important part of urban traffic. Hence, the impacts of CAVs on urban traffic should be further explored. This study aims to analyze the mixed traffic comprising CAVs and human-driven vehicles (HDVs) in different urban scenarios in which different bus station types (i.e., roadside and bay bus stations) and capacities are considered. To do this analysis, this study proposes a cellular automaton model which simulates car following behaviours of vehicles using a two-state safe speed model, and designs specific modeling rules for lane-changing behaviours and vehicle behaviours near bus stations with consideration of the differences between CAVs and HDVs. The analysis results indicate that the impacts of various bus station types and capacities on the mixed traffic flow vary with traffic volumes, while increasing the CAV penetration rate can reduce the traffic congestion caused by bus stop-and-go. Furthermore, the study explores the optimal number of bus routes for different types of bus stations in different urban traffic scenarios, and several possible policy implications have been given according to the analysis results.

Research on Train-Induced Vibration of High-Speed Railway Station with Different Structural Forms.

Elevated stations are integral components of urban rail transit systems, significantly impacting passengers' travel experience and the operational efficiency of the transportation system. However, current elevated station designs often do not sufficiently consider the structural dynamic response under various operating conditions. This oversight can limit the operational efficiency of the stations and pose potential safety hazards. Addressing this issue, this study establishes a vehicle-bridge-station spatial coupling vibration simulation model utilizing the self-developed software GSAP V1.0, focusing on integrated station-bridge and combined station-bridge elevated station designs. The simulation results are meticulously compared with field data to ensure the fidelity of the model. Analyzing the dynamic response of the station in relation to train parameters reveals significant insights. Notably, under similar travel conditions, integrated stations exhibit lower vertical acceleration in the rail-bearing layer compared to combined stations, while the vertical acceleration patterns at the platform and hall layers demonstrate contrasting behaviors. At lower speeds, the vertical acceleration at the station concourse level is comparable for both station types, yet integrated stations exhibit notably higher platform-level acceleration. Conversely, under high-speed conditions, integrated stations show increased vertical acceleration at the platform and hall levels compared to combined stations, particularly under unloaded double-line working conditions, indicating a superior dynamic performance of combined stations in complex operational scenarios. However, challenges such as increased station height due to bridge box girder maintenance, track layer waterproofing, and track girder support maintenance exist for combined stations, warranting comprehensive evaluation for station selection. Further analysis of integrated station-bridge structures reveals that adjustments in the floor slab thickness at the rail-bearing and platform levels significantly reduce dynamic responses, whereas increasing the rail beam height notably diminishes displacement responses. Conversely, alterations in the waiting hall floor slab thickness and frame column cross-sections exhibit a minimal impact on the station dynamics. Overall, optimizing structural dimensions can effectively mitigate dynamic responses, offering valuable insights for station design and operation.

Hybrid Control Strategy for 5G Base Station Virtual Battery-Assisted Power Grid Peak Shaving

With the rapid development of the digital new infrastructure industry, the energy demand for communication base stations in smart grid systems is escalating daily. The country is vigorously promoting the communication energy storage industry. However, the energy storage capacity of base stations is limited and widely distributed, making it difficult to effectively participate in power grid auxiliary services by only implementing the centralized control of base stations. Aiming at this issue, an interactive hybrid control mode between energy storage and the power system under the base station sleep control strategy is delved into in this paper. Grounded in the spatiotemporal traits of chemical energy storage and thermal energy storage, a virtual battery model for base stations is established and the scheduling potential of battery clusters in multiple scenarios is explored. Then, based on the time of use electricity price and user fitness indicators, with the maximum transmission signal and minimum operating cost as objective functions, a decentralized control device is used to locally and quickly regulate the communication system. Furthermore, a multi-objective joint peak shaving model for base stations is established, centrally controlling the energy storage system of the base station through a virtual battery management system. Finally, a simulation analysis was conducted on data from different types of base stations in the region, designing two distinct scheduling schemes for four regional categories. The analysis results demonstrate that the proposed model can effectively reduce the power consumption of base stations while mitigating the fluctuation of the power grid load.

Analysis of the Current Development Status and Prospects of Solar Charging Piles for Electric Vehicles

In the context of sustainable development in the world, various clean energy products have emerged, among which electric vehicles have rapidly developed and received great attention from people. This article investigates the principles and types of solar charging stations for electric vehicles, as well as the innovative research and practical design applications of previous researchers. Through research, it has been found that using sunlight to generate electricity, solar charging stations provide clean and sustainable power for electric vehicles. New energy sources such as solar energy have also been favored by the general public. In addition, solar charging stations are constantly being improved and optimized under people's research. However, at the same time, it also faces challenges such as high costs and high technological requirements. Therefore, continuously optimizing and improving the use system of new energy is of great importance to human development. People still have a long way to go in the development of new energy.

Novel optimized coupled rainfall model simulation based on stepwise decomposition technique.

Precipitation forecasting plays a pivotal role in guiding the effective management of regional water resources and providing crucial warnings for regional droughts and floods. Finding a monthly precipitation simulation model with robust fitting performance is a significant research endeavor in practical precipitation prediction. This paper introduces two modified African vulture optimization algorithms (MAVOA1 and MAVOA2). It provides hyperparameter optimization techniques for the least squares support vector machine (LSSVM), long short-term memory neural network (LSTM), and random forest (RF) models. These techniques are used to construct a monthly precipitation simulation model based on algorithmic optimization coupled with variational mode decomposition for full decomposition. The test results at five typical stations in the North China Plain reveal the following: (1) the LSSVM model demonstrates significantly better performance than the LSTM and RF models. (2) the MAVOA2-LSSVM model has the best-integrated effect: the average test fitting error is RMSE = 17.50 mm/month, MRE = 117.25%, NSE = 0.90, which shows its superiority in practical application and can significantly improve the accuracy of precipitation prediction; MAVOA2 is more suitable for machine learning models with more hyperparameters of its own, which provides a reference for hyperparameter optimization algorithms in the other fields.

Metro Stations as Catalysts for Land Use Patterns: Evidence from Wuhan Line 11

Urban rail transit systems significantly influence land use patterns in newly developed areas, yet their impact on spatial organization and functional characteristics remains understudied. This research examines Wuhan Metro Line 11, analyzing land use within an 800 m radius of stations using Point of Interest data, ArcGIS spatial analysis, and locational entropy methods. The study reveals three station types, i.e., single-function, mixed-function, and underdeveloped, each exhibiting distinct spatial differentiation patterns. On this basis, a novel “core-diffusion” model emerges, with the highest density of functional elements observed at approximately 600 m from station centers, challenging conventional proximity assumptions. Three spatial organization modes are identified: single-core independent in two-level axis, single-core continuous in single-level axis, and double-core continuous in two-level axis. These findings contribute to the Transit-Oriented Development literature, offering sustainable insights into optimizing land use around metro stations in rapidly urbanizing contexts. This study also provides a methodological framework applicable to similar urban environments, enhancing the understanding of the complex relationships between metro development and surrounding land use patterns. These results have significant implications for urban planning and policy-making, particularly in emerging economies seeking to balance transit efficiency with sustainable urban growth.

DESIGN CONTROL SYSTEM OF MODULAR PRODUCTION SYSTEM DISTRIBUTION AND PICK AND PLACE STATION

The development of automation in the industry is accelerating rapidly. The presence of automation is a technology that is very helpful in increasing production. Automation cannot be separated from the existence of a control system to regulate or process an instruction or order. The Modular Production System is a station unit consisting of various types of stations that simulate production system designs on a small scale before being realized in real situations. The work process of the Modular Production System is controlled using a PLC. PLC needs to be programmed to manage the work process of the Modular Production System. The programming language commonly used in PLC programming is ladder diagrams. The existence of a control system on the Modular Production System using PLC will make the Modular Production System run automatically. It can communicate with other Modular Production Systems to become more efficient. Therefore this design discusses controlling the Modular Production System using a PLC with a ladder diagram. The distribution stations and pick and place stations are selected for the Modular Production System. With a control system on the Modular Production System distribution station and pick and place station, the Modular Production System can work automatically and communicate with each other between stations. The result of the design is an increase in the efficiency of the system cycle time and process accuracy.