IET Intelligent Transport Systems最新文献

DDPGAT: Integrating MADDPG and GAT for optimized urban traffic light control

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2025-02-04 DOI: 10.1049/itr2.70000

Meisam Azad-Manjiri, Mohsen Afsharchi, Monireh Abdoos

{"title":"DDPGAT: Integrating MADDPG and GAT for optimized urban traffic light control","authors":"Meisam Azad-Manjiri, Mohsen Afsharchi, Monireh Abdoos","doi":"10.1049/itr2.70000","DOIUrl":"https://doi.org/10.1049/itr2.70000","url":null,"abstract":"Urban traffic control is a complex and dynamic multi-agent challenge, characterized by the need for efficient coordination and real-time responsiveness in fluctuating traffic conditions. Traditional methods often fall short in adapting to these dynamic environments. This article introduces “DDPGAT”, a novel framework that merges Multi-Agent Deep Deterministic Policy Gradients (MADDPG) with Graph Attention Networks (GATs) for optimized urban traffic control, further enhanced by a unique moral reward component. DDPGAT empowers traffic signal controllers as independent agents using GATs for dynamic road importance assessment. Shared attention scores during training enhance each agent's understanding of local and wider traffic patterns, essential for developing adaptive control policies. A key innovation in DDPGAT is the moral reward function, encouraging decisions that consider neighboring intersections' traffic, thus promoting ethical traffic management. The experiments demonstrate that DDPGAT significantly boosts traffic throughput and reduces congestion, confirming its effectiveness in diverse traffic conditions. The integration of MADDPG, GATs, and a moral reward strategy in DDPGAT presents a sophisticated, robust approach for managing the complexities of urban traffic control, marking a notable progression in intelligent traffic system technologies.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111523","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

Prediction of airport surface potential conflict based on GNN-LSTM

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2025-01-23 DOI: 10.1049/itr2.12611

Ligang Yuan, Daoming Fang, Haiyan Chen, Jing Liu

{"title":"Prediction of airport surface potential conflict based on GNN-LSTM","authors":"Ligang Yuan, Daoming Fang, Haiyan Chen, Jing Liu","doi":"10.1049/itr2.12611","DOIUrl":"https://doi.org/10.1049/itr2.12611","url":null,"abstract":"The development of the civil aviation industry has contributed to a steady increase in the number of daily flight operations at airports, which in turn has led to increasingly complex airport ground layouts. To aid airport managers in understanding the operational situation on the airport surface, this paper introduces a predictive model for airport ground conflict situations based on GNN-LSTM. This model identifies potential conflicts, conflict hotspots, and conflict hotspots zones, designating key intersections on taxiways as conflict hotspots according to taxiing rules. A conflict network is constructed, employing GNN with an integrated attention mechanism to extract structural features of the network, while LSTM is utilized to capture temporal features. After tuning the model parameters, predictions are made regarding the overall potential number of potential conflicts on the surface. To validate the effectiveness of the model, experimental analysis is conducted using AirTOp simulation data from Shenzhen Bao'an Airport, comparing GNN-LSTM model with GNN-GRU, LSTM, and GRU models, using RMSE and MAE as loss functions. The results demonstrate that he proposed modelling approach effectively extracts the temporal features of potential conflict and GNN-LSTM model outperforms other models in predicting the overall number of potential conflicts.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12611","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118417","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

Boarding stop inference with uncertain relationship between bus vehicles and mobile smart card readers

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2025-01-14 DOI: 10.1049/itr2.12615

Peng Zhou, Yu Shen, Yuxiong Ji, Yuchuan Du

{"title":"Boarding stop inference with uncertain relationship between bus vehicles and mobile smart card readers","authors":"Peng Zhou, Yu Shen, Yuxiong Ji, Yuchuan Du","doi":"10.1049/itr2.12615","DOIUrl":"https://doi.org/10.1049/itr2.12615","url":null,"abstract":"Boarding stop inference for bus passengers is essential for the improvement of bus transit services. Previous studies mainly focus on matching the bus trajectories with the bus stop locations, while the relationship between smart card readers—which collect the smart card data—and bus vehicles is usually given. However, uncertainties arise in practical applications regarding the matching of vehicles and card readers. To tackle this challenge, in this study, a data-driven approach is proposed to dig into the spatiotemporal features of passengers' smart card data and bus vehicle operations. A weighted bipartite graph algorithm is developed to match the smart card readers with the bus vehicles automatically. To verify the feasibility and effectiveness of the proposed approach, a case study is conducted on the Bus Anhong Line in Shanghai, China. The inferred results of boarding stops are compared with the data from passenger counting sensors installed in the bus vehicles. The matching accuracy rate achieves 0.9539, which validates the effectiveness of the proposed matching model. In addition, the inferred data are used to present the spatiotemporal patterns of boarding passengers and identify high-demand bus stops.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12615","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114799","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

Design prognostics for 4400 TEU container vessel by multi-variate Gaidai reliability approach

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2025-01-12 DOI: 10.1049/itr2.12613

Yan Zhu, Oleg Gaidai, Jinlu Sheng, Alia Ashraf, Yu Cao, Zirui Liu

{"title":"Design prognostics for 4400 TEU container vessel by multi-variate Gaidai reliability approach","authors":"Yan Zhu, Oleg Gaidai, Jinlu Sheng, Alia Ashraf, Yu Cao, Zirui Liu","doi":"10.1049/itr2.12613","DOIUrl":"https://doi.org/10.1049/itr2.12613","url":null,"abstract":"This case study introduces an innovative multivariate methodology for assessing the lifetime of marine engineering systems, specifically in cargo vessel transportation. The analysis focused on stress data collected onboard a 4400 TEU container vessel during multiple trans-Atlantic voyages. One of the major challenges in marine cargo transport lies in mitigating the risk of container loss due to excessive whipping loads. Accurate prediction of extreme stress levels on vessel deck panels remains difficult, primarily because of the nonlinear and non-stationary nature of wave and ship motion interactions. Higher-order dynamic effects, such as second- and third-order responses, often become significant when ships operate under adverse environmental conditions, amplifying nonlinear influences. Laboratory simulations, constrained by wave characteristics and scale similarity issues, may not always provide reliable results. Consequently, data collected from vessels navigating extreme weather conditions serves as a critical resource for comprehensive container ship risk assessment. The primary goal of this study was to validate and demonstrate the effectiveness of a novel multivariate risk evaluation approach, leveraging onboard measurements of dynamic areal pressure on cargo ship deck panels as the core dataset. The Gaidai methodology for multivariate risk evaluation proved to be a robust tool for assessing failure, hazard, and damage risks in complex, nonlinear vessel deck panel and ship hull stress systems.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12613","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114329","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 reinforcement learning-based reverse-parking system for autonomous vehicles

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2025-01-09 DOI: 10.1049/itr2.12614

Amjed Al-Mousa, Ahmad Arrabi, Hamza Daoud

引用次数: 0

Formulation and solution framework for real-time railway traffic management with demand prediction

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2025-01-08 DOI: 10.1049/itr2.12610

Bianca Pascariu, Johan Victor Flensburg, Paola Pellegrini, Carlos M. Lima Azevedo

{"title":"Formulation and solution framework for real-time railway traffic management with demand prediction","authors":"Bianca Pascariu, Johan Victor Flensburg, Paola Pellegrini, Carlos M. Lima Azevedo","doi":"10.1049/itr2.12610","DOIUrl":"https://doi.org/10.1049/itr2.12610","url":null,"abstract":"Recent transport policies increasingly promote shifts towards rail travel aiming at a more sustainable transportation system. This shift is hampered by widespread unexpected perturbations in operations, resulting in perceived poor punctuality and reliability. When prevention of such perturbations is not feasible, traffic management must mitigate their effects, resolving arising conflicts to restore regular train operations and minimize delay. Current practice generally includes the assessment of railway performance in terms of train delays, but the quality of service to passengers is rarely explicitly accounted for. A railway traffic management framework is proposed that accounts for both passenger and train delays. To do so, a predictive optimization framework is proposed, integrating a demand prediction module, a passenger demand assignment module and a traffic management module. The first dynamically predicts future origin-destination passenger flows using linear regression on real-time observed smart card data. Then, the demand assignment module links predicted passengers to specific train paths, given a railway schedule. Finally, the traffic management module optimizes train scheduling and routing in real time, under the combined objective of minimizing train and passenger delays. The methodology is validated and benchmarked against equivalent passenger agnostic traffic management on a case study of the Copenhagen suburban railway network. The results show that it is possible to take into account passenger perspective in railway traffic management, without reducing the railway system efficiency compared to classic approaches.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12610","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113495","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

Edge-computing-based operations for automated vehicles with different cooperation classes at stop-controlled intersections

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2025-01-08 DOI: 10.1049/itr2.12577

Saeid Soleimaniamiri, Handong Yao, Amir Ghiasi, Xiaopeng Li, Pavle Bujanović, Govindarajan Vadakpat, Taylor W. P. Lochrane

{"title":"Edge-computing-based operations for automated vehicles with different cooperation classes at stop-controlled intersections","authors":"Saeid Soleimaniamiri, Handong Yao, Amir Ghiasi, Xiaopeng Li, Pavle Bujanović, Govindarajan Vadakpat, Taylor W. P. Lochrane","doi":"10.1049/itr2.12577","DOIUrl":"https://doi.org/10.1049/itr2.12577","url":null,"abstract":"Cooperation classes have been defined by SAE International to differentiate the communication capabilities between vehicles and infrastructure. To advance understanding of the impact of cooperation classes on autonomous cooperative driving and optimize traffic operations, this article proposes an edge-computing-based operations framework for cooperative-automated driving system (C-ADS)-equipped vehicles at a stop-controlled intersection. First, a critical time points estimation component estimates a set of critical time points for each C-ADS-equipped vehicle. Second, a trajectory-smoothing component is called at each C-ADS-equipped vehicle in a decentralized manner to control C-ADS-equipped vehicle trajectories based on the estimated critical time points and its cooperation behavior. Notably, this study represents a first-time investigation of different cooperation classes for stop-controlled intersections. Simulation results show that the proposed framework can reduce stop-and-go traffic, yielding significant improvements in mobility and energy efficiency, as the cooperation class increases. Results also demonstrate that the proposed framework is suitable for real-time applications by distributing computational burden in different entities. Further, results verify that the proposed framework can handle varying speed errors without significant loss in performance.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12577","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113494","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

Hybrid spatial and channel attention in post-accident object detection

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2025-01-01 DOI: 10.1049/itr2.12594

Junyoung Kim, Soomok Lee

{"title":"Hybrid spatial and channel attention in post-accident object detection","authors":"Junyoung Kim, Soomok Lee","doi":"10.1049/itr2.12594","DOIUrl":"https://doi.org/10.1049/itr2.12594","url":null,"abstract":"Analysing post-accident scenes using in-vehicle cameras is crucial for effective highway traffic control and enhancing accident response, road safety, and traffic flow. This contributes to a comprehensive understanding of the situation and achieves better decision-making and effective management. The accident scene report system is designed to focus on specific post-accident objects, such as crashed vehicles, involved individuals, emergency vehicles, and debris. This means that the post-accident object detection algorithm needs to handle a wide variety of objects, from large collapsed vehicles to tiny particles. It should operate in real-time on embedded boards, balancing detection accuracy and compactness to fit within the constraints of embedded computing modules. This approach aims to facilitate prompt reporting to traffic control centres. In this study, a hybrid spatial and channel attention and its pruning algorithm tailored for object detection in post-accident scenarios are proposed. This approach markedly enhances the detection performance in the unexpected accidents and malfunctioning scenes, significantly boosting the system's accuracy and processing speed. The method optimally balances the model compactness with seamless attention and pruning, making it highly suitable for real-time applications in traffic monitoring systems. The proposed seamless attention and pruning method is demonstrated using the proposed accident object detection dataset.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12594","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110351","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 two-layer control strategy for fuel-efficient connected vehicles

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2024-12-30 DOI: 10.1049/itr2.12609

Ahmed Bentaleb, Ahmed El Hajjaji, Asma Karama, Abdelhamid Rabhi, Abdellah Benzaouia

{"title":"A two-layer control strategy for fuel-efficient connected vehicles","authors":"Ahmed Bentaleb, Ahmed El Hajjaji, Asma Karama, Abdelhamid Rabhi, Abdellah Benzaouia","doi":"10.1049/itr2.12609","DOIUrl":"https://doi.org/10.1049/itr2.12609","url":null,"abstract":"This paper proposes a two-layer control strategy to enhance connected vehicles fuel efficiency. Compared with previous works, this study proposes an approach to optimize both the vehicle speed and gearbox position to achieve better fuel efficiency. The control task is given in two stages: the upper layer and the lower layer. Before trip departure, the upper layer concurrently optimizes the vehicle speed and gearbox position based on road map information, and engine and vehicle parameters for an entire route. Then, while driving, the lower layer is used to follow the pre-computed optimal profiles. Model predictive control follows the optimal speed while ensuring an adaptive safe distance constraint with a preceding vehicle. For gear shifting, an online shift control assuring the tracking of the optimal gear position is developed based on look-ahead road data and vehicle actions. The effectiveness of the proposed control strategy was evaluated with comprehensive simulations and comparison tests using Matlab and CarSim software. The mean online optimization calculation time is 0.065 s, indicating its real-time capability. The proposed method can be used as a driving assist system or implemented as a speed and gear controller for self-driving vehicles.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12609","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120775","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

Lane-changing control strategy for distributed drive vehicles considering yaw stability

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2024-12-30 DOI: 10.1049/itr2.12605

Jianjun Hu, Hongkai Liu, Sijing Yi, Chao Huang

{"title":"Lane-changing control strategy for distributed drive vehicles considering yaw stability","authors":"Jianjun Hu, Hongkai Liu, Sijing Yi, Chao Huang","doi":"10.1049/itr2.12605","DOIUrl":"https://doi.org/10.1049/itr2.12605","url":null,"abstract":"Intelligent vehicles are prone to dangerous issues such as sideslip and instability when changing lanes to avoid obstacles under some extreme conditions. Therefore, to improve safety and stability during the obstacle-avoidance process, this paper proposes a lane-change control method that considers yaw stability based on distributed drive electric vehicles. Fuzzy adaptive model predictive control and proportional integral derivative (PID) control are, respectively, established to compute the optimal front wheel steering angle and vehicle longitudinal torque under lateral and longitudinal decoupling. Additionally, a direct yaw moment controller is constructed based on model predictive control to calculate the additional yaw moment, which is then distributed according to the tire adhesion utilisation rate to optimise yaw stability in lane-changing obstacle-avoidance scenarios. Finally, the proposed control framework is verified in typical obstacle-avoidance scenarios. The results show that, compared to the control method that do not consider yaw stability, the average yaw rate deviation is reduced by 54.0% on high-adhesion road surfaces and by 61.2% on low-adhesion road surfaces, achieving further optimsation in the safety and stability of the obstacle-avoidance process.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12605","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120777","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