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    <title>Transport Research International Documentation (TRID)</title>
    <link>https://trid.trb.org/</link>
    <atom:link href="https://trid.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
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    <language>en-us</language>
    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
    <image>
      <title>Transport Research International Documentation (TRID)</title>
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      <link>https://trid.trb.org/</link>
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    <item>
      <title>A Method for CTCS-3 Knowledge Extraction of Unstructured Data</title>
      <link>https://trid.trb.org/View/2113906</link>
      <description><![CDATA[With the rapid development in AI technology, constructing the nationally independent intelligent railway is a trend at present in Chinese rail transit industry. As CTCS-3 is one of the core technologies for Chinese high-speed railway, making machines understand the CTCS-3 knowledge efficiently and concretely is becoming an important topic. Knowledge extraction is one of the most significant parts. Therefore, we proposed a method to extract CTCS-3 knowledge from unstructured data by combining BERT and BiLSTM-CRF. We built a 407936-word labeled dataset about CTCS-3 equipment for model training. Using such small dataset, we completed the experiments of CTCS-3 knowledge extraction including entity recognition and relationship extraction. The experiment show that the F1 score is 75.89%. By the method, we can get some entity relationship triples which are the foundation to achieve cognitive intelligence of CTCS-3. In summary, it extracts CTCS-3 entity relation triples with a small number of rail transit industry dataset.]]></description>
      <pubDate>Fri, 24 Apr 2026 08:55:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113906</guid>
    </item>
    <item>
      <title>Analysis and Calculation of the Turnback Capacity of Rail Transit Station</title>
      <link>https://trid.trb.org/View/2113905</link>
      <description><![CDATA[Turnback capability is one of the key factors restricting the line capacity of rail transit. By taking the typical turnback station rail transit as background, considering train turnback mode and stop time factors, an integer programming model with the minimum turnback time as the goal, train receiving-departure operation process and occupation rules of track section as the constraints was established, and the maximum turnback capability under different turnback modes was obtained. Finally, one pre-station turnback station and one post-station turnback station as cases were calculated to evaluate the turnback ability.]]></description>
      <pubDate>Fri, 24 Apr 2026 08:55:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113905</guid>
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    <item>
      <title>A Novel Segmental Stator Switched Reluctance Motor with Embedded Permanent Magnets for Torque Enhancement</title>
      <link>https://trid.trb.org/View/2113904</link>
      <description><![CDATA[Due to advantages of simple structure, large starting torque and high reliability of Switched Reluctance Motor (SRM), it has been used in many fields. However, SRM shows lower torque density compared with permanent magnet motor. In this paper, a novel segmentation stator SRM is proposed, which had 12 PMs located on both side of 6 stator block to form Segmented Stator Hybrid Excitation Switched Reluctance Motor (SSHESRM). Firstly, the topology structure and working principle of SSHESRM was introduced, and proven the intensified effect of PMs to air-gap flux density based on Magnetic Equivalent Circuit (MEC). Then, the Finite Element Method (FEM) was used to analysis impact of PMs on torque density and obtained the optimal thickness of PMs. Finally, it is proved that the average torque of SSHESRM is increased by 34.2% and torque ripple is decreased by 19.3%.]]></description>
      <pubDate>Fri, 24 Apr 2026 08:55:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113904</guid>
    </item>
    <item>
      <title>Track Surface Defect Detection Based on EfficientDet</title>
      <link>https://trid.trb.org/View/2113903</link>
      <description><![CDATA[With the rapid development of my country's railway industry, no defects on the track surface are a prerequisite to ensure the normal operation of the train. Using deep learning instead of humans to detect defects on track surfaces can greatly improve the efficiency of detection while ensuring the safety of workers. However, in real life, railway workers will quickly repair and replace once the rail fails. Although this measure ensures the smooth operation of the train, it will bring difficulties to the collection of datasets, resulting in the lack of data set images of tracks with surface defects. In this paper, Gan is used to extend the dataset and then EfficientDet algorithm is used to detect and recognize the defects on the track surface. By comparing the efficiency and accuracy of the efficientD0, D3 and D6 algorithms, the final one was EfficientDet-D3. the experiment showed that the D3 version could achieve faster detection speed while ensuring the accuracy.]]></description>
      <pubDate>Fri, 24 Apr 2026 08:55:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113903</guid>
    </item>
    <item>
      <title>Train Rescheduling Considering Service Evenness and Limited Operation Control Strategy</title>
      <link>https://trid.trb.org/View/2113902</link>
      <description><![CDATA[In view of the delay problem for urban rail transits, the study focuses on improving the evenness of passenger service, and constructs a train rescheduling model by adjusting the arrival time and departure time of trains affected by the delay and trains ahead. The model aims at maximizing service evenness (i.e., minimizing the difference between the arrival and departure intervals of adjacent trains), and considers a background of limited operation control strategy. The numerical experiment shows the feasibility of the model. The proposed method can coordinate the trains affected by delays and the adjustable trains in front to achieve the goal of optimizing service evenness.]]></description>
      <pubDate>Fri, 24 Apr 2026 08:55:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113902</guid>
    </item>
    <item>
      <title>Analysis of Urban Public Transport System Based on Complex Network</title>
      <link>https://trid.trb.org/View/2113899</link>
      <description><![CDATA[With the increasing development of public transportation, bus routes and schedules cannot meet the dynamic travel demand of residents. To improve the level of service (LOS) of public transportation, the routes and schedules have to be optimized with the change of travel demand. Firstly, the topology of public transportation network is modeled and analyzed based on the Space-L model. According to evaluation indicators of complex networks of public transportation, the key nodes in the public transportation network are determined through the coefficient of variation (CV). Based on actual data, network efficiency, connectivity, and the relative size of the largest connected subgraph are selected to analyze the robustness of the bus network of the West Coast New District of Qingdao (WCNDQ). Based on the above research, this paper selects typical routes such as K3 and L1, and re-plans the dispatching plan of these routes.]]></description>
      <pubDate>Wed, 22 Apr 2026 16:38:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113899</guid>
    </item>
    <item>
      <title>Quality Evaluation of Translation Ability Training for Logistics Management Talents</title>
      <link>https://trid.trb.org/View/2113898</link>
      <description><![CDATA[This paper firstly introduces the development logistics industry in recent years, and then analyzes the problems in the training of logistics management talents’ translation ability. It establishes a quality evaluation index system of logistics management talents’ translation ability training, and designs an evaluation method based on information entropy theory. It puts forward the western logistics management talents translation ability training strategy from the teaching program, teaching materials, teaching staff, teaching methods, assessment system and other aspects, and gives specific measures to propose targeted personnel training program in order to promote the western logistics management talents translation ability training work. The method presented in this paper can help to evaluate the quality of translation ability training for logistics management talents. And we give training strategy of international foreign language talents based on the computing case and the results analysis.]]></description>
      <pubDate>Wed, 22 Apr 2026 16:38:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113898</guid>
    </item>
    <item>
      <title>A High-Voltage GaN-Based Inductive Coupled Power Transfer Circuit</title>
      <link>https://trid.trb.org/View/2113895</link>
      <description><![CDATA[The implements of high-voltage GaN power transistors in Inductive Coupled Power Transfer (ICPT) circuit can not only reduce switching losses and conduction losses, but also reduce the dimension of whole circuit with higher efficiency. Firstly, a design process of ICPT circuit is described in this paper, e.g., a typical circuit topology of an SS-compensated ICPT circuit and lectotype of GaN power transistor. Then, a Zero Voltage Switch (ZVS) achieving method and power losses analyze are made. Further, simulations are performed via LTspice to prove the reliability of the process. Finally, efficiency of ICPT circuit with Si MOSFET is compared with that using GaN High Electron Mobility Transistor (HEMT). As a result, under the same input voltage, resonant capacitors, resonant inductors and load, the efficiency of ICPT circuit with GaN HEMT reaches 92.05%, which is 0.26% higher than that of ICPT circuit using Si MOSFET.]]></description>
      <pubDate>Wed, 22 Apr 2026 16:38:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113895</guid>
    </item>
    <item>
      <title>Simulation Study on Passenger Flow Distribution in Subway Platform</title>
      <link>https://trid.trb.org/View/2113894</link>
      <description><![CDATA[At present, the large passenger flow and dense passengers have become the main characteristics of the subway station, the platform waiting problem is obvious. This paper first analyzes the factors affecting the distribution of waiting passengers on the platform, and establishes a two-tier model on this basis. The upper layer is a logit-based waiting position selection model, and the lower layer is a pedestrian motion model based on the social force model. The two-layer model acts together to depict the dynamic distribution of the passenger flow waiting for the platform. Finally, the relevant data was obtained through a field survey of the Haidian Huangzhuang Station of Beijing Metro Line 10, and the relevant parameters assumed in the simulation model were analyzed through regression analysis of statistical data. Anylogic software is used to build a simulation environment and analyze the simulation model to verify the effectiveness of the model.]]></description>
      <pubDate>Wed, 22 Apr 2026 16:38:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113894</guid>
    </item>
    <item>
      <title>EMR-Based Study of Simulink Technologies of Metro Power Supply System</title>
      <link>https://trid.trb.org/View/2113893</link>
      <description><![CDATA[With the development of the power supply system of metro, in particular the application of energy recovery and storage technologies, the system composition has changed significantly. However, given the lack of an effective approach for inter-system simulation in this respect, the optimal allocation of power supply can hardly be achieved. Using the method of Energetic Macroscopic Representation (EMR), the paper builds up the simulation model of energy coupling, reflecting the energy relations among vehicles, power supply systems and energy conservation systems. It then verifies the model using Simulink software. The results indicate that the model presents a valid tool for the inter-system simulation of energy transmission among the power supply systems, providing reference to the optimization of the power supply and energy conservation performances of metro.]]></description>
      <pubDate>Wed, 22 Apr 2026 16:38:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113893</guid>
    </item>
    <item>
      <title>Metro Outbound Passenger Flow Forecasting Considering Spatial-Temporal Correlation Characteristics</title>
      <link>https://trid.trb.org/View/2113892</link>
      <description><![CDATA[Accurate forecasting of metro outbound passenger flow is of great significance to station operations and connected transportation systems. This paper constructs a multi-variable sequence LSTM outbound passenger flow forecasting model after analyzing the time series characteristics and the spatial-temporal correlation characteristics. And the dimensionality of spatial angles data is reduced based on t-SNE to improve the efficiency of the forecasting model. Finally, we take the Dongsishitiao station as an example to carry out an outbound passenger flow forecasting experiment, and compare the passenger flow forecasting accuracy under different characteristic inputs to show the effectiveness of the spatial-temporal correlation characteristics input. The forecasting error index MAPE of the experimental model reached 9.6%, indicating the availability of the model forecasting results, and the comparison of forecasting results with commonly used models proved the superiority of the forecasting model.]]></description>
      <pubDate>Tue, 21 Apr 2026 08:28:11 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113892</guid>
    </item>
    <item>
      <title>A Train Positioning Technology Based on Dual-Terminal Electrical Quantities</title>
      <link>https://trid.trb.org/View/2113889</link>
      <description><![CDATA[Train positioning failure will directly affect the safe operation of the train. In order to ensure the accuracy and availability of train positioning information, a new positioning method is urgently needed as an important supplement to traditional positioning technology. The structure, parameters, and operation characteristics of the DC traction power supply system for urban rail transit are analyzed. According to the relationship between the equivalent model of the power supply network and train position, a new train positioning method based on the electrical quantities of two traction stations is proposed, and the least square method is adopted to solve the equations. In view of the possibility that two trains operate in a single power supply interval, a dual train operation positioning method is proposed by adding the electrical quantities of the two trains. The proposed methods are verified by experiments on the simulation platform of urban rail transit power supply system, which proves the feasibility of this method.]]></description>
      <pubDate>Tue, 21 Apr 2026 08:28:11 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113889</guid>
    </item>
    <item>
      <title>Metro Rail Detection Based on Vehicle-Borne LiDAR</title>
      <link>https://trid.trb.org/View/2113890</link>
      <description><![CDATA[A vehicle-borne LiDAR based metro rail detection methodology in metro system is proposed. To begin with, the 2D occupancy grids map in XOY plane is generated from the 3D point cloud and those rail-related points are collected to set up the rail points set. Subsequently, false alarms in the rail points set are excluded in XOZ plane. RANSAC-based line fitting is performed and those outliers of the fitted line are considered as false alarms and thus excluded. Finally, the parameters of rail tracks are estimated with a hybrid method composed of PPHT, RANSAC and CLEAN, fulfilling the task of rail detection. An extra hypothesis points set for RANSAC is created by PPHT and parallelism lines verification to avoid shortening of latter pairs of rail tracks and achieve further removal of false alarms. During the RANSAC based estimation process, the constraint of gauge between pair-wise tracks are concerned and kept, and the chord-length distributions are adopted for overfitting elimination. The CLEAN operation is repeated to seek for multiple pairs of tracks. The proposed methodology has achieved precision of 99.14% and recall of 96.47% on data acquired in field experiments, convincing the effectiveness in the field of rail detection in metro system.]]></description>
      <pubDate>Tue, 21 Apr 2026 08:28:11 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113890</guid>
    </item>
    <item>
      <title>Waiting Time Equalized Collaborative Passenger Flow Control Model in Peak Hours for a Subway Line</title>
      <link>https://trid.trb.org/View/2113888</link>
      <description><![CDATA[In the subway line system, to avoid congestion in stations and equalize the average waiting time in each station, this paper constructs a bi-objective nonlinear programming model, so as to minimize the average passenger waiting time on the subway line system and maximize the equilibrium among the average waiting time at each station. To solve the problem, we converted the above model into a single-objective linear programming model by transforming the equilibrium objective to a constraint within the acceptable equalized fluctuant range. Finally, the model is applied in the Batong subway line. The results show that the equilibrium of the average waiting time at each station has improved significantly under the situation of the average passenger waiting time on the subway line system only increases the percentage of 1.45%.]]></description>
      <pubDate>Tue, 21 Apr 2026 08:28:11 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113888</guid>
    </item>
    <item>
      <title>FCS-MPC Based IM-PMSM Dual-Motor System with Torque Optimal Control</title>
      <link>https://trid.trb.org/View/2113887</link>
      <description><![CDATA[This paper proposes a finite control set model predictive control (FCS-MPC) based dual-motor control strategy for induction motor (IM) and permanent magnet synchronous motor (PMSM). By establishing a dual-motor current prediction model, the unified cost function and optimization strategy are constructed, and the torque synchronization constraint and total torque ripple suppression constraint are designed. Compared with the traditional control strategy, the proposed control algorithm verifies the feasibility of FCS-MPC in the IM-PMSM dual-motor system. Moreover, the proposed strategy has good transient performance, and realizes the torque synchronous control and total torque ripple suppression of the dual-motor system.]]></description>
      <pubDate>Tue, 21 Apr 2026 08:28:11 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113887</guid>
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