Journal of Advanced Transportation最新文献

Research on Machine Vision–Based Intelligent Tracking System for Maintenance Personnel 基于机器视觉的维修人员智能跟踪系统研究

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-05-26 DOI: 10.1155/atr/2728315

Yinglin Ma, Hongmei Shi, Yao Wang, Baofeng Li

{"title":"Research on Machine Vision–Based Intelligent Tracking System for Maintenance Personnel","authors":"Yinglin Ma, Hongmei Shi, Yao Wang, Baofeng Li","doi":"10.1155/atr/2728315","DOIUrl":"https://doi.org/10.1155/atr/2728315","url":null,"abstract":"<div>\u0000 <p>Upon returning to the depot, rail transit vehicles require necessary maintenance. The working condition of train maintenance personnel directly impacts the safety of both staff and equipment. Therefore, effective monitoring and control of activities within train roof access platforms are essential. Traditional manual monitoring demands substantial manpower and is prone to human error, whereas machine vision–based intelligent monitoring offers a promising alternative, reducing the dispatch control center (DCC) workload while enhancing safety management. Our intelligent monitoring approach involves three key steps: train maintenance personnel identification, tracking of maintenance activities to generate movement trajectories, and analysis of movement patterns to detect anomalous behavior. This study primarily addresses the challenges of personnel identification and process tracking. In the scenario of train maintenance, facial recognition is limited by posture variations, making direct video tracking impractical. Pedestrian reidentification (Re-ID) also struggles with posture and attire changes. To address these issues, we propose a hybrid approach: facial recognition confirms personnel identity upon entry, followed by pedestrian feature extraction for Re-ID-based tracking throughout the maintenance process. To handle occlusion, we designed a Re-ID method based on body part recognition, segmenting features into head–shoulder, body, arm, and leg components, with higher weights assigned to visible parts. This method achieved improved mean average precision (mAP) and Rank-1 values of 87.6% and 95.7%, respectively, on the Market1501 dataset. A tracking and monitoring system was developed, effectively identifying and tracking maintenance activities, demonstrating a strong practical value. Furthermore, this work lays the groundwork for future research into trajectory-based abnormal behavior detection.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/2728315","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144135612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Hierarchical Control Framework for Coordinating CAV-Dedicated Lane Allocation and Signal Timing at Isolated Intersections in Mixed Traffic Environments 混合交通环境下独立交叉口自动驾驶专用车道分配和信号配时协调的层次控制框架

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-05-21 DOI: 10.1155/atr/8833619

Feng Chen, Cunbao Zhang, Yu Cao

{"title":"A Hierarchical Control Framework for Coordinating CAV-Dedicated Lane Allocation and Signal Timing at Isolated Intersections in Mixed Traffic Environments","authors":"Feng Chen, Cunbao Zhang, Yu Cao","doi":"10.1155/atr/8833619","DOIUrl":"https://doi.org/10.1155/atr/8833619","url":null,"abstract":"<div>\u0000 <p>With the rapid development of connected and automated vehicles (CAVs), numerous studies have demonstrated that CAV-dedicated lanes (CAV-DLs) can significantly enhance traffic efficiency. However, most existing studies primarily focus on optimizing either CAV trajectory planning or traffic signal control, and the integration of CAV-DLs and signal control for improved spatiotemporal resource utilization remains underexplored. To address this challenge, this study proposes a hierarchical control framework that integrates CAV-DLs allocation with signal control. The framework employs two collaborative agents based on the dueling double deep Q-network (D3QN) algorithm. The upper-level agent recommends optimal CAV-DLs configurations based on long-term traffic flow patterns, while the lower-level agent focuses on real-time signal control by adjusting signal parameters and green time allocations in response to current traffic demand. Simulation results demonstrate that the proposed model effectively adapts to dynamic traffic conditions, significantly improving intersection capacity and reducing delays. Compared with benchmark approaches, the model achieves an average improvement of 31.8% in traffic efficiency. Additionally, the study identifies CAV penetration rate (CAV PR) thresholds of 30% and 60% as appropriate for allocating one and two CAV-DLs, respectively, at intersections with high traffic volumes. These findings provide valuable theoretical insights and practical guidance for the effective configuration of CAV-DLs in future traffic systems.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/8833619","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Steering and Suspension–Integrated Control Based on Robust MPC Considering Road Vibration Prediction 考虑道路振动预测的鲁棒MPC转向悬架综合控制研究

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-05-20 DOI: 10.1155/atr/5529466

Taowen Cui, Shuaiyin Wang, Yuxiang Cao, Bo Li, Can Xu, Jingda Wu

{"title":"Research on Steering and Suspension–Integrated Control Based on Robust MPC Considering Road Vibration Prediction","authors":"Taowen Cui, Shuaiyin Wang, Yuxiang Cao, Bo Li, Can Xu, Jingda Wu","doi":"10.1155/atr/5529466","DOIUrl":"https://doi.org/10.1155/atr/5529466","url":null,"abstract":"<div>\u0000 <p>The steering and suspension systems, as key actuators of intelligent vehicles, have a significant impact on vehicle handling stability and ride comfort. However, in view of the coupling between them, it is difficult to balance the above two aspects of performance when controlled separately. To improve the comprehensive control effect of the automobile chassis system, this paper presents an integrated control method for active steering and active suspension system (ASS) based on robust model predictive controller (MPC) considering road vibration prediction. The designed controller considers the motion of the vehicle in yaw, roll, pitch, and vertical directions. Based on the established vehicle dynamics model, road surface model, and driver model, the integrated system control framework is constructed. Then, the proposed robust MPC (R-MPC) with road vibration prediction is testified through simulation. The results show that the R-MPC has better anti-interference ability than the MPC method under road excitation or slippery road condition, and the comprehensive performance of vehicle handling stability and ride comfort can be improved through road vibration prediction.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5529466","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lidar-Binocular Camera-Integrated Navigation System for Underground Parking 地下停车场激光雷达-双目摄像机组合导航系统

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-05-19 DOI: 10.1155/atr/5353470

Wei He, Rui Li, Wenjie Liao

{"title":"Lidar-Binocular Camera-Integrated Navigation System for Underground Parking","authors":"Wei He, Rui Li, Wenjie Liao","doi":"10.1155/atr/5353470","DOIUrl":"https://doi.org/10.1155/atr/5353470","url":null,"abstract":"<div>\u0000 <p>It is well known that vehicles highly rely on satellite navigation in an open intelligent traffic environment. However, satellite navigation cannot obtain accurate positioning information for vehicles in the interior of underground garage, as they comprise a semienclosed navigation space, worse light than outdoors in a special traffic environment. To address this problem in this research, the Lidar-binocular camera-integrated navigation system (LBCINS) is established for underground parking indoor environment. The obtained Lidar data from the simulation experiment are preprocessed, and the matching results of the inertial navigation system (INS) under the normal distributions transform (NDT) algorithm and the iterative closest point (ICP) algorithm are compared. The simulation experiment results show that in the complex underground parking environment, the INS under Lidar-NDT algorithm with binocular camera achieves a better performance. Then, in the field experiment, the 3D cloud point data were collected by the test vehicle that equipped with the proposed navigation system from an underground parking and obtained 199 pairs of feature points’ distances. Finally, four different statistical methods were used to analyze the calculated distance errors. Results show that under different error statistical methods, the distance error values of the proposed navigation system are 0.00901, 0.059, 0.00766, and 0.087 m, respectively which present a much higher precision than 5.0 m in the specification requested for inertial-integrated navigation terminal.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5353470","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144091822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Graph Information Fused Graph Attention Network for Traffic Flow Forecasting 交通流预测的最优图信息融合图注意网络

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-05-08 DOI: 10.1155/atr/5195875

Xing Xu, Luchen Fei, Yun Zhao, Xiaoshu Lü

{"title":"Optimal Graph Information Fused Graph Attention Network for Traffic Flow Forecasting","authors":"Xing Xu, Luchen Fei, Yun Zhao, Xiaoshu Lü","doi":"10.1155/atr/5195875","DOIUrl":"https://doi.org/10.1155/atr/5195875","url":null,"abstract":"<div>\u0000 <p>To manage and make decisions about intelligent transportation systems more efficiently, accurate traffic flow forecasting is necessary. Traffic flow forecasting has complex spatial correlation and time dependence. Most current research models are based on a predefined graph structure with a priori knowledge for prediction, which cannot well extract the hidden spatial relationships in traffic data. In this paper, we propose the Optimal Graph Information Fused Graph Attention Network (OGIF-GAT). Specifically, we learn the actual connections between nodes and the hidden spatial relationships through the multigraph feature fusion structure. Next, we design a new graph attention network (GAT), which improves the problem of ignoring edge features in the graph structure in the traditional GAT model and considers their edge features when estimating the correlation of each neighboring node pair: the effect that the distance factor between neighboring nodes has on the spatial correlation. In addition, we use the temporal hybrid transformer (THT) to learn temporal dependencies. Extensive experiments on four public transportation datasets (PeMS04, PeMS08, PeMS-BAY, and METR-LA) demonstrate that our model achieves the optimal level of traffic flow prediction accuracy on all of them and is shown to have strong generalization ability. Compared to STSGCN, the mean absolute error (MAE) decreases by 7.9%, 10.3%, 33.2%, and 19.6%, respectively.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5195875","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fuel Consumption Prediction in Regional Transport Based on Selected Bus Line Characteristics 基于公交线路特征的区域交通燃油消耗预测

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-05-06 DOI: 10.1155/atr/2567720

Tomáš Skrúcaný, Bibiána Poliaková, Martin Kendra, Oľga Blažeková, Mária Vojteková

{"title":"Fuel Consumption Prediction in Regional Transport Based on Selected Bus Line Characteristics","authors":"Tomáš Skrúcaný, Bibiána Poliaková, Martin Kendra, Oľga Blažeková, Mária Vojteková","doi":"10.1155/atr/2567720","DOIUrl":"https://doi.org/10.1155/atr/2567720","url":null,"abstract":"<div>\u0000 <p>From an operational, economic and environmental point of view, it is crucial for public transport authorities and operators to be able to estimate fuel consumption in suburban bus transport. This is especially important when planning a new bus line or re-routing an existing one. This paper aims to identify a simple model for predicting fuel consumption in suburban bus transport based on commonly available input data based on local conditions. The article deals with the issue of fuel consumption of a bus with a conventional compression ignition engine operating on suburban bus lines in a predetermined region in Slovakia. The selected indicators related to the operation of the studied bus are analysed, including the average speed of the bus, the average distance between stops, the road profile of the line and the ambient air temperature. The study was conducted using both long-term and short-term measurements, allowing for a comprehensive analysis of the data. Linear regression and polynomial regression were employed to determine the relationship between fuel consumption and the input data. The results of the long-term experimental measurements and regression analysis indicate that a second-degree polynomial regression is the most accurate method for predicting fuel consumption in suburban bus transport when considering the ambient air temperature. Short-term experimental measurements and regression analysis also demonstrate that a second-degree polynomial regression is the most effective approach for predicting fuel consumption in suburban bus transport, incorporating the average slope of the bus route and the average distance between bus stops. Average vehicle speed did not have a significant effect on predicting bus fuel consumption due to specific reasons that affect average velocity in very different ways.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/2567720","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143909445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Framework for Prioritizing the Connected Vehicle Infrastructure Service in Mixed Autonomy Traffic: A Fuzzy-Analytic Hierarchy Process Approach 混合自主交通中网联车辆基础设施服务优先排序框架：模糊层次分析法

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-05-05 DOI: 10.1155/atr/7410746

Woosuk Kim, Junhyeong Moon, Sung-Soo Choi, Yong-Shin Kang, Sangsoo Lee, Hyungjoo Kim

{"title":"A Framework for Prioritizing the Connected Vehicle Infrastructure Service in Mixed Autonomy Traffic: A Fuzzy-Analytic Hierarchy Process Approach","authors":"Woosuk Kim, Junhyeong Moon, Sung-Soo Choi, Yong-Shin Kang, Sangsoo Lee, Hyungjoo Kim","doi":"10.1155/atr/7410746","DOIUrl":"https://doi.org/10.1155/atr/7410746","url":null,"abstract":"<div>\u0000 <p>This study investigates the integration and prioritization of connected vehicle infrastructure services (CVISs) in mixed autonomy traffic systems using a fuzzy–analytic hierarchy process (Fuzzy–AHP). The study aims to enhance operational efficiency in environments where autonomous vehicles (AVs) and human-driven vehicles (HVs) coexist. By evaluating 92 existing services, the research selects and prioritizes 17 critical services that address safety and efficiency challenges. The methodology involves a Fuzzy–AHP analysis to assess service importance and a modified–importance–performance analysis (M–IPA) to categorize services as either specialized or common based on their utility for AVs and HVs. The findings highlight the pivotal roles of emergency management, traffic operation, and pedestrian detection services in improving traffic safety and flow. This study contributes to the theoretical and practical understanding of CVIS implementation, offering a framework for policymakers and engineers to optimize infrastructure in mixed autonomy traffic scenarios.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/7410746","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143905056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging Ant Colony and Particle Swarm Optimization Algorithms for Assessing the Transit-Oriented Development Potential: A Case Study of Dhaka, Bangladesh 利用蚁群和粒子群优化算法评估交通导向发展潜力：以孟加拉国达卡为例

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-05-05 DOI: 10.1155/atr/5625483

Md. Anwar Uddin, Sumit Roy, Tahsin Tamanna, Rubayet Arafin Rimon

{"title":"Leveraging Ant Colony and Particle Swarm Optimization Algorithms for Assessing the Transit-Oriented Development Potential: A Case Study of Dhaka, Bangladesh","authors":"Md. Anwar Uddin, Sumit Roy, Tahsin Tamanna, Rubayet Arafin Rimon","doi":"10.1155/atr/5625483","DOIUrl":"https://doi.org/10.1155/atr/5625483","url":null,"abstract":"<div>\u0000 <p>This study explores transit-oriented development (TOD) in Dhaka City using optimization algorithms to provide urban planning and policy-making insights. The analysis examined the distribution of the TOD index values across the city and identified areas with varying levels of TOD potential. Two optimization algorithms, ant colony optimization (ACO) and particle swarm optimization (PSO), were employed to assess and compare the TOD index values. The results highlight the significance of transit infrastructure in promoting sustainable urban development, particularly in proximity to existing mass rapid transit (MRT) lines. PSO is more suitable for this study among the optimization algorithms because it offers a more precise TOD potential assessment. The findings suggest prioritizing investments in transit infrastructure and implementing TOD-friendly policies to foster sustainable urban growth and improve residents’ quality of life. Future studies can benefit from optimizing the algorithm parameters and incorporating real-world data to improve the accuracy of the TOD assessments.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5625483","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143909102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game Theory 基于博弈论的城市交通出行碳足迹优化模型

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-04-29 DOI: 10.1155/atr/3990405

Xiaoyu Wu, Aiguo Lei, Lishuang Bian

{"title":"An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game Theory","authors":"Xiaoyu Wu, Aiguo Lei, Lishuang Bian","doi":"10.1155/atr/3990405","DOIUrl":"https://doi.org/10.1155/atr/3990405","url":null,"abstract":"<div>\u0000 <p>To address climate change and promote green and low-carbon development, this study proposes an urban travel carbon footprint optimization method for transportation structures. Considering the environmental friendliness and efficiency of travel and combining carbon incentive policies and regret mechanisms, the travel preference model is constructed using game theory. Through the comprehensive perceived benefit function and multidimensional analysis, the effective reduction of travel carbon footprint is achieved. Taking Beijing as an example, the optimized transportation structure reduces the carbon footprint of travel by 17.17% and the total carbon emissions by 13.04%. Research has shown that to achieve the optimal carbon footprint, the green travel preference weight <i>p</i><sub>1</sub> in the multiobjective optimization model needs to be no less than 0.48, which verifies that this method can effectively alleviate the problem of transportation carbon emissions. Although this study has certain limitations in dynamic traffic demand applications, it has good practical application value for travel carbon footprint optimization under static demand conditions and contributes to the sustainable development of urban transportation and the realization of the “dual carbon” goals in China.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/3990405","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143889069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Short-Term Passenger Flow Prediction Based on Federated Learning on the Urban Metro System 基于联邦学习的城市地铁系统短期客流预测

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-04-29 DOI: 10.1155/atr/8834513

Guowen Dai, Jinjun Tang, Jie Zeng, Yuting Jiang

{"title":"Short-Term Passenger Flow Prediction Based on Federated Learning on the Urban Metro System","authors":"Guowen Dai, Jinjun Tang, Jie Zeng, Yuting Jiang","doi":"10.1155/atr/8834513","DOIUrl":"https://doi.org/10.1155/atr/8834513","url":null,"abstract":"<div>\u0000 <p>Accurate short-term metro passenger flow prediction is critical for urban transit management, yet existing methods face two key challenges: (1) privacy risks from centralized data collection and (2) limited capability to model spatiotemporal dependencies. To address these issues, this study proposes a federated learning framework integrating convolutional neural networks (CNNs) and bidirectional gated recurrent units (BIGRU). Unlike conventional approaches that require raw data aggregation, our method facilitates collaborative model training across metro stations while keeping data stored locally. The CNN is employed to extract spatial patterns, such as passenger correlations between adjacent stations, while the BIGRU captures bidirectional temporal dynamics, including peak-hour evolution. This architecture effectively eliminates the need for sensitive data sharing. We validate the framework using real-world datasets from Shenzhen Metro, and our key innovations include a privacy-preserving mechanism through federated parameter aggregation, joint spatial-temporal feature learning without the need for raw data transmission, and enhanced generalization across heterogeneous stations.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/8834513","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143884240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0