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Urban Rail Transit
Scopus
ISSN 2199-6687 · SpringerOpen · 180 articles in the index
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Journal Article
Train Slide Prediction and Risk Assessment Using Vehicle-Signal Data: A Data-Model Fusion Method
Abstract Insufficient wheel–rail adhesion during braking poses a significant threat to operational safety and accelerates component wear. Although anti-slide valves modulate braking force to mitigate sliding, the resulting speed fluctuations can inadvertently trigger emergency braking commands from…
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Journal Article
Railway Crew Rostering: Tailored Optimization Solutions in Daily Use in Berlin
Abstract We are presenting a crew planning optimization project for the train drivers of an urban rail transportation company. The core is about crew rostering, i.e., defining over a certain period of time (e.g., one year) for each train driver sequences of working days and rest days, and also…
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Journal Article
A Comprehensive Review of Virtually Coupled Train Systems
Abstract Virtual coupling (VC) has attracted increasing research attention as a train control concept for rail systems, enabling trains to operate at very short separations using cooperative, relative distance-based control. This paper reviews how VC affects railway operations across three…
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Journal Article
TunnelSDF-FilterNet: A Domain-Aware Neural Framework for High-Fidelity 3D Reconstruction of Railway Tunnels
Abstract Accurate 3D reconstruction of railway tunnels is crucial for infrastructure maintenance, safety assessment, and digital twin development. However, existing methods often fail in real-world scenarios due to sensor noise and spurious geometry generation in non-structural ground…
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Journal Article
Review of the Key Technologies and Development of Flywheel Energy Storage in Urban Rail Transit
Abstract The continuous expansion of the scale of global urban rail transit (URT) network has led to the aggravation of traction energy consumption and the utilization of regenerative braking energy (RBE). Applying energy storage technology in URT can enhance the stability of traction power supply…
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Journal Article
Exploring Fairness in Train Timetabling and Rolling Stock Scheduling with Flexible (Un)coupling in a Y-Shaped Network
Abstract Flexible (un)coupling operation within a Y-shaped network allows for the dynamic adjustment of metro train formations at the diverging junction based on fluctuating passenger demand. Train timetable and rolling stock schedule serve as essential elements in organising efficient flexible…
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Journal Article
Which Mode Clearly Shapes the Spatial Linkage of Urban Agglomeration, Rail, or Others?—A Case Study of Beijing–Tianjin–Hebei (J-J-J) Urban Region
Abstract Intercity transport infrastructure provides a framework for spatial linkages among urban agglomerations. This paper identifies the dynamic changes of spatial correlation degree of Beijing–Tianjin–Hebei (or “J-J-J”) urban agglomeration by calculating core entropy value and traffic…
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Journal Article
Optimizing Fastening Systems Characteristics to Prevent Stray Current at Urban Tracks
Abstract Stray current in urban railway systems presents a significant challenge, including localized corrosion of rails, fastening systems, and adjacent metal structures, which compromises infrastructure safety. This study focuses on enhancing the resistance of rail fastening systems to mitigate…
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Journal Article
Constraint-Relaxation Multi-Objective Optimization for Layout Planning of Prefabricated Subway Stations under Extreme Spatial Constraints
Abstract Subway Station Construction Site Layout Planning (SSCSLP) in dense urban cores is characterized by extreme spatial constraints. Conventional Constraint-Preserving Search (CPS) paradigms often exhibit significant limitations in such environments. Specifically, the strict rejection of…
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Journal Article
Integrated Optimization of Weekly Scheduling for Urban Rail Transit Vehicles: Task Assignment, Maintenance, Washing, and Parking
Abstract Efficient weekly scheduling, including task assignments, maintenance, washing, and parking, for urban rail transit vehicles is essential for reducing operational costs and ensuring smooth depot operations. However, optimizing these components separately may cause inefficiencies, conflicts…
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Journal Article
Is Ride-Hailing Competing or Cooperating with Subway? A Survey in Chinese Cities
Abstract Ride-hailing services, characterized by convenience, flexibility, and on-demand availability, have substantially reshaped urban mobility patterns, posing uncertain impacts on subway ridership. To clarify the competitive and cooperative dynamics between two modes, a latent class choice…
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Journal Article
The Transformation of Suburban Railways and Regional Development in the Tokyo Metropolitan Area
Abstract Through large-scale new construction, expansion and comprehensive development of suburban railways, the Tokyo metropolitan area has effectively driven the development of the peripheral areas of the metropolitan circle, which has achieved good socioeconomic benefits and is a model for the…
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Journal Article
Stranded Passenger Mode Choice Under Metro Disruptions: A Cumulative Prospect Theory Model with Stated-Preference Evidence
Abstract Urban rail transit (URT) service disruptions, though infrequent, involve high risk and uncertainty, often triggering passenger behaviors that deviate from normal patterns. How stranded passengers make travel decisions under such conditions is essential for improving emergency response and…
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Journal Article
Urban Rail Transit Expansion, Public Housing Provision and Transport Equity: A Case Study in Hangzhou, China
Abstract Whether urban rail accessibility is distributed equitably has significant implications for social equity, especially in rapidly urbanizing cities. This research analyses how metro accessibility was distributed across different neighborhoods in Hangzhou during 1998-2021. The results…
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Journal Article
Understanding Route Choice Behavior in Composite Urban Rail Transit Network with Interpretable Machine-Learning Approach: A Case Study in Shanghai, China
Abstract Analyzing route choice behavior and understanding the heterogeneous impacts on passenger decisions are key to improving transportation service quality in integrated suburban railway and metro networks. While existing studies focus on metro systems using Mixed Logit (MXL) models or…
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Journal Article
Uncovering Travel Rhythms: A Spatiotemporal and Data-Driven Typology of Urban Rail Transit Stations
Abstract Smart card data (SCD) from Automatic Fare Collection (AFC) systems provide fine-grained insights into urban mobility rhythms. Yet most existing studies focus on static ridership, with limited attention to the relationship between station-level travel rhythms and the surrounding built…
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Journal Article
Joint Optimization of Passenger Flow Control and Train Skip-Stopping for Overcrowded Metro Lines: A Multi-Agent Reinforcement Learning Approach
Abstract During rush hours, the capacity of metro in megacities is insufficient to meet the travel demand, resulting in oversaturation and high risk on platform in stations, especially transfer stations. This paper addresses this problem through the joint optimization of some operational…
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Journal Article
The Decoupling Effect Analysis of Meteorological Comfort on Urban Rail Transit Ridership
Abstract This study investigates the decoupling relationship between meteorological comfort and urban rail transit ridership in China. Daily meteorological data and passenger volume data from 28 major cities were processed to construct a meteorological comfort index using the entropy weighting…
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Journal Article
Predicting the Unpredictable: A Reproducible Framework with Open Multi-Source Data for Irregular Non-commuting OD Flows
Abstract Real-time prediction of dynamic origin–destination (OD) passenger flows is essential for efficient passenger flow management in urban rail transit (URT) systems. Existing studies have primarily focused on commuting OD flows, which exhibit strong regularity and are supported by abundant…
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Journal Article
Multilayered Railway Passenger Demand Estimation Considering Nested Choices: A Computational Graph-based Learning Framework
Abstract This paper attempts to develop a systematic and theoretically consistent machine learning model to quantify and estimate multi-level railway passenger demand, capturing overall demand patterns. This includes estimating boarding and alighting passengers at stations along a corridor…