Recent Articles

Open access

ISSN: 2949-8678
CN: 10-1922/U2
p-ISSN: 2097-3446

A lightweight zero-trust architecture for dynamic train-centric networks using decentralized identity and reputation-aware consensus

As vehicular networks evolve from closed architectures to open cloud-edge-end computing paradigms, traditional perimeter-based security defenses are becoming increasingly ineffective. The dynamic coupling...

A Trapezoidal Fuzzy TOPSIS-CRITIC-Based Decision Support Model for Railway Track System Selection: Ballasted vs. Ballast-less

This study presents an innovative decision-support framework for selecting optimal railway track superstructures (ballasted vs. ballast-less) by integrating technical feasibility assessment with life-cycle...

X-DCFR: Explainable Deep Convolutional Neural Networks Fuzzy Rule Learning for Railway Track Circuit Fault Diagnosis

Deep neural network-based intelligent methods have brought new breakthroughs to fault diagnosis. However, their ‘black box’ nature hinders their implementation and widespread adoption in safety-critical...

Flexible Insertion and Overtaking Strategies for Large-Scale High-Speed Passenger-Freight Operations

To address the underutilization of high-speed rail (HSR) infrastructure alongside growing large-scale freight demand, this paper proposes an integrated optimization framework for HSR passenger-freight...

Analysis and Suppression of Thrust Ripples in the Integrated Propulsion, Levitation and Guidance System of EDS Maglev Trains

Low-temperature superconducting Maglev trains are considered a promising candidate for future transportation due to their superior levitation height and robust self-stability. The integrated Propulsion,...

Intelligent monitoring of longitudinal rail force using time series forecasting large language models

High-speed railways constitute a critical component of modern transportation infrastructure. However, the longitudinal rail force, influenced by cyclic train loads and environmental conditions, poses...

Anti-Derailment Effect of a New Split-Type anti-disaster pile for High-Speed Trains

With the rapid development of high-speed railways, safety issues during train operations have become increasingly prominent, especially the secondary disasters caused by derailments. This study proposes...

An analytical solution to track bridge interaction

This article presents a comprehensive algebraic approach to the Track-Bridge Interaction (TBI) problem [1]. The core contribution is an analytical solution to the governing differential equations [2],...

An improved LMD method for high-speed rail grinding wheel fault diagnosis

High-speed rail grinding train operates at high speed. If grinding wheel faults such as cracking and chipping exist, they may seriously compromise the grinding quality and safety. In the past, fault...

Predicting ride comfort in high-speed rail using machine learning

Ride comfort is a necessary criterion for assessing the passenger experience in next-generation High-Speed Rrail (HSR), especially as speeds exceed 300 km/h. However, accurate comfort prediction under...

Systematic review of thermal insulation materials and methods in high-speed rail systems

High-speed trains operate under significant thermal constraints that affect both energy consumption and passenger comfort. This systematic review examines the state of research on thermal insulation...

Depth-dependent hybrid ground improvement for high-speed railway foundations in saline–gypsiferous soils: Field investigation and strategy development

The development of High-Speed Railway (HSR) corridors in arid and semi-arid regions is often hindered by complex geotechnical challenges linked to problematic soils. In such projects, achieving stringent...

Study on life prediction method for rail vehicle critical components based on deep learning models and track load spectra

Deep learning and fatigue life prediction remain focal research areas in rail vehicle engineering. This study addresses the vibration fatigue of wheelset lifting lug in Chengdu Metro Line 1 bogies,...

A generation-based defect detection system for rail transit infrastructure

The use of Unmanned Aerial Vehicles (UAVs) for defect detection on railway slopes is becoming increasingly widespread due to their ability to capture high-resolution images over large, inaccessible,...

Deep learning-based method for damage identification and localization of the maglev track stator surface

The stator of the maglev track plays a crucial role in the operation of the maglev system. Currently, the efficiency of maglev track inspection is limited by several factors, including the large span...

Digital twin-driven structural damage monitoring via multilevel Lamb wave enhancement and transfer learning

As structural damage patterns and service environments become more complex, digital twin-based structural health monitoring, with its unique advantages, can compensate for the limitations of data-driven...

Analysis of loading characteristics of windshield wiper structure on high-speed train

This paper studies the structural response of high-speed train wipers under the combined action of complex flow fields and scraping actions. The stress concentration areas are determined through simulation...

Estimated carrying capacity based on different signal types for Vietnam’s high-speed railway plan

Research on high-speed railways is a relatively new yet highly significant field in Vietnam. Among its key components, train control signaling plays a critical role, as it directly affects various interconnected...

Research on intelligent management of air compression refrigeration system in the environmental wind tunnel of high-speed railway trains

The environmental wind tunnel of high-speed railway trains serves as a crucial experimental facility for the research and development of high-speed railway technology. The refrigeration system within...

A knowledge modeling method for high-speed railway emergency faults based on structured logic diagrams and knowledge graphs

Knowledge graphs, which combine structured representation with semantic modeling, have shown great potential in knowledge expression, causal inference, and automated reasoning, and are widely used in...

Research on quantitative diagnosis technology for structural cracks in critical welds of rail vehicles

Critical welded structures in rail vehicles are subjected to prolonged alternating loads, making structural fatigue failure a primary safety concern. This study develops a quantitative crack diagnosis...

Stress time series prediction for orthotropic-steel-bridge-decks welds using a TCN-LSTM neural network

The stress time-history at the rib-to-deck connections of Orthotropic Steel Bridge Decks (OSBDs) is crucial for the near-real-time safety assessment and early warning of highway bridge structures. To...

Multi-class rail defect detection using advanced artificial intelligence

Railway infrastructure demands continuous monitoring to ensure operational safety and prevent catastrophic failures. Conventional inspection approaches, including manual visual examination and non-destructive...

Research on the site selection of overseas railway engineering logistics bases from the perspective of supply chain resilience: Take the China-Laos Railway as an example

Aiming to jointly build the Belt and Road Initiative with high quality and to better advance the construction of overseas railway projects, this paper aims to address the reality of overseas railway...

Effects of settlement in the subgrade-bridge transition section on slab track deformation and damage

Slab track is highly sensitive to subgrade deformation, particularly at the subgrade-bridge transition section, where abrupt stiffness changes govern structural response and durability. In this study,...

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