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View article: Signal Injection Test of Spoofing Attack to GNSS-Based Positioning in Railway Train Control
Signal Injection Test of Spoofing Attack to GNSS-Based Positioning in Railway Train Control Open
With the continuous development of the railway transportation system, train operation control is becoming more and more significant as the core to guarantee the operational safety and efficiency. Train control based on Global Navigation Sa…
View article: Train operational state estimation: Technologies, challenges, and future directions
Train operational state estimation: Technologies, challenges, and future directions Open
As the demand for intelligent transportation systems grows, train operations are becoming increasingly complex, making state estimation critical for improving railway safety and operational efficiency. Existing state estimation methods fac…
View article: INS-aided GNSS jamming protection in support of resilient train positioning
INS-aided GNSS jamming protection in support of resilient train positioning Open
Railway safety and efficiency increasingly rely on precise train positioning. The integration of the Global Navigation Satellite System (GNSS) into railway control systems aims to reduce dependence on track-side infrastructure. While GNSS …
View article: Sensitivity analysis of railway balise information transmission module with both degradation and model uncertainty
Sensitivity analysis of railway balise information transmission module with both degradation and model uncertainty Open
Balises are key safety-critical components in many railway systems. However, as the usage time of balises increases, the performance of the physical devices within a balise information transmitting module will gradually deteriorate. This d…
View article: Path Planning for Mobile Robots Based on the Improved DAPF-QRRT* Strategy
Path Planning for Mobile Robots Based on the Improved DAPF-QRRT* Strategy Open
The rapidly exploring random tree star (RRT*) algorithm is widely used to solve path planning problems. However, the RRT* algorithm and its variants fall short of achieving a balanced consideration of path quality and safety. To address th…
View article: Spoofing attack recognition for GNSS-based train positioning using a BO-LightGBM method
Spoofing attack recognition for GNSS-based train positioning using a BO-LightGBM method Open
Trustworthy positioning is critical in the operational control and management of trains. For a train positioning system (TPS) based on a global navigation satellite system (GNSS), a spoofing attack significantly threatens the trustworthine…
View article: Multi-objective preventive maintenance strategy and optimization considering unavailability and cost: A case study on VOBC
Multi-objective preventive maintenance strategy and optimization considering unavailability and cost: A case study on VOBC Open
The Vehicle On-Board Controller (VOBC) is a core component of urban rail transit trains, with high maintenance costs and serious consequences in case of failure. Ensuring long-term VOBC operation while minimizing maintenance costs is of pa…
View article: A Simple Heterogeneous Transfer Learning Method for Track Circuit Fault Prediction
A Simple Heterogeneous Transfer Learning Method for Track Circuit Fault Prediction Open
Prediction and identification of faults in track circuit are crucial for improving the safety and efficiency of railway transportation.However, the task of track circuit fault prediction through deep learning methods facing significant cha…
View article: Design of Universal Code Generator for Multi-Constellation Multi-Frequency GNSS Receiver
Design of Universal Code Generator for Multi-Constellation Multi-Frequency GNSS Receiver Open
A multi-constellation, multi-frequency Global Navigation Satellite System (GNSS) receiver is capable of simultaneously receiving signals from multiple satellite constellations across various frequency bands. This allows for increased obser…
View article: A GPS/BDS Based Train Positioning Method Using Non-differential Range Measurements
A GPS/BDS Based Train Positioning Method Using Non-differential Range Measurements Open
Compared with pseudorange measurement, carrier phase tracking is much less noisy, which can provide accurate positioning solutions. The existing carrier phase-based positioning methods rely on precise ephemeris or base station, which may c…
View article: Research on Over-the-Horizon Perception Distance Division of Optical Fiber Communication Based on Intelligent Roadways
Research on Over-the-Horizon Perception Distance Division of Optical Fiber Communication Based on Intelligent Roadways Open
With the construction and application of more and more intelligent networking demonstration projects, a large number of advanced roadside digital infrastructures are deployed on both sides of the intelligent road. These devices sense the r…
View article: Parameter Optimization of Balise Circuit Based on Fusion of BNN and Genetic Algorithm
Parameter Optimization of Balise Circuit Based on Fusion of BNN and Genetic Algorithm Open
The optimization of the parameters of the components related to the radio frequency (RF) transmission circuit of the balise can keep the balise working normally under low power consumption and increase the reliability and stability of the …
View article: Q‐EANet: Implicit social modeling for trajectory prediction via experience‐anchored queries
Q‐EANet: Implicit social modeling for trajectory prediction via experience‐anchored queries Open
Accurately predicting the future trajectory and behavior of traffic participants is crucial for the maneuvers of self‐driving vehicles. Many existing works employed a learning‐based “encoder‐interactor‐decoder” structure, but they often fa…
View article: Similarity Based Remaining Useful Life Prediction for Lithium-ion Battery under Small Sample Situation Based on Data Augmentation
Similarity Based Remaining Useful Life Prediction for Lithium-ion Battery under Small Sample Situation Based on Data Augmentation Open
Accurately predicting the remaining useful life of lithium-ion batteries is crucial for enhancing battery reliability and reducing maintenance costs. In recent years, similarity-based prediction methods have gained significant attention an…
View article: Virtual sample generation for model-based prognostics and health management of on-board high-speed train control system
Virtual sample generation for model-based prognostics and health management of on-board high-speed train control system Open
In view of class imbalance in data-driven modeling for Prognostics and Health Management (PHM), existing classification methods may fail in generating effective fault prediction models for the on-board high-speed train control equipment. A…
View article: A magnetic field-circuit coupling model for functionality and interface simulation test of railway Balise
A magnetic field-circuit coupling model for functionality and interface simulation test of railway Balise Open
Railway Balise is widely used in the Balise-based train control system to provide accurate location information for the safe operation of trains. In order to evaluate and analyze the functionality and interface test of a new designed Balis…
View article: Defending Privacy Inference Attacks to Federated Learning for Intelligent IoT with Parameter Compression
Defending Privacy Inference Attacks to Federated Learning for Intelligent IoT with Parameter Compression Open
Federated learning has been popularly studied with people’s increasing awareness of privacy protection. It solves the problem of privacy leakage by its ability that allows many clients to train a collaborative model without uploading local…
View article: Fault Prediction of On-Board Train Control Equipment Using a CGAN-Enhanced XGBoost Method with Unbalanced Samples
Fault Prediction of On-Board Train Control Equipment Using a CGAN-Enhanced XGBoost Method with Unbalanced Samples Open
On-board train control equipment is an important component of the Train Control System (TCS) of railway trains. In order to guarantee the safe and efficient operation of the railway system, Predictive Maintenance (PdM) is significantly req…
View article: Roadside sensor network deployment based on vehicle-infrastructure cooperative intelligent driving
Roadside sensor network deployment based on vehicle-infrastructure cooperative intelligent driving Open
The sensor network for intelligent roadways, comprised of devices like cameras, laser radars, millimeter-wave radars, and weather stations, is an integral part of the roadside digital infrastructure. One of the main challenges in building …
View article: Study on key technologies of GNSS-based train state perception for train-centric railway signaling
Study on key technologies of GNSS-based train state perception for train-centric railway signaling Open
The application of Global Navigation Satellite Systems (GNSSs) in the intelligent railway systems is rapidly developing all over the world. With the GNSS-based train positioning and moving state perception, the autonomy and flexibility of …
View article: Modelling and performance analysis of Balise under dynamic energy harvesting in high‐speed railway
Modelling and performance analysis of Balise under dynamic energy harvesting in high‐speed railway Open
Accurate knowledge of Balise dynamic performance is essential for train position perception and safe operation. For the Balise in high‐speed railway, whose performance under dynamic energy harvesting is affected by the train operation and …
View article: Energy‐optimal study integrated speed trajectories, timetable and the layout of neutral sections for high‐speed railway
Energy‐optimal study integrated speed trajectories, timetable and the layout of neutral sections for high‐speed railway Open
Speed trajectories, timetable and the layout of neutral sections are the key elements that affect train energy consumption (EC). This paper combines the microscopic energy‐efficient train control (EETC), macroscopic energy‐efficient train …
View article: Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections Open
Taking advantage of both vehicle-to-everything (V2X) communication and\nautomated driving technology, connected and automated vehicles are quickly\nbecoming one of the transformative solutions to many transportation problems.\nHowever, in …