IET Intelligent Transport Systems最新文献_第9页

Identifying abnormal driving states of drunk drivers using UAV 利用无人机识别醉酒驾驶人的异常驾驶状态

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2024-12-18 DOI: 10.1049/itr2.12608

Guiliang Zhou, Kaiwen Xu, Jian Chen, Lina Mao

{"title":"Identifying abnormal driving states of drunk drivers using UAV","authors":"Guiliang Zhou, Kaiwen Xu, Jian Chen, Lina Mao","doi":"10.1049/itr2.12608","DOIUrl":"https://doi.org/10.1049/itr2.12608","url":null,"abstract":"The rising number of car owners has increased the frequency of drunk driving-related traffic accidents, which is a significant danger to traffic safety. Many drawbacks of traditional drunk driving detection techniques include missed detection, interference with regular drivers, inadequate real-time monitoring, and excessive labour costs. In this work, the intent is to increase the accuracy, real-time performance, and coverage of drunk driving detection by proposing a method for differentiating abnormal driving conditions while intoxicated by utilizing unmanned aerial vehicle technology. The approach uses an unmanned aerial vehicle to identify the driver's facial expression to determine whether there is an evidence of drunk driving behaviour is drunk driving behaviour. It then uses these models to score vehicle trajectory anomalies, including vehicle sway, vehicle sudden speed change, and signalized intersection waiting time. According to the trial data, the system can successfully identify drunk drivers, and its accuracy has increased by 10.8% compared to the high accuracy and real-time performance of traditional drunk driving detection methods.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12608","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143116226","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 study on identifying representative trips for mobility service design 出行服务设计中代表性行程识别研究

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2024-12-16 DOI: 10.1049/itr2.12603

Jeongyun Kim, Sehyun Tak, Jinwon Yoon, Hwasoo Yeo

{"title":"A study on identifying representative trips for mobility service design","authors":"Jeongyun Kim, Sehyun Tak, Jinwon Yoon, Hwasoo Yeo","doi":"10.1049/itr2.12603","DOIUrl":"https://doi.org/10.1049/itr2.12603","url":null,"abstract":"Recently, with growing interest in urban mobility patterns, the demand for collecting and analysing origin-destination (OD) data is increasing. Due to the large scale and dimensionality of OD data, there are two issues in analysing the data: big-data storage and major pattern extraction. To deal with two issues at the same time, this study suggests a principal control analysis-based major demand identification method to improve the usability of microscopic OD data. Especially, this study focuses on finding principal components that preserve major patterns from OD data with small random noise so that the data can be effectively used for mobility service design. The proposed method is applied to smart card data of Seoul and Sejong and extracted major demand patterns from peak- and non-peak hour data of these cities. The degree of daily regularity, reconstruction accuracy, and compression rate of the reconstructed data is analysed varying sets of principal components. The obtained results show that the major demands contain a low volume and a large volume of demand and with lower-order principal components, major demands can be efficiently extracted by removing randomly appearing small-volume demand. In addition, the trade-off behaviour is observed between the degree of daily regularity and reconstruction accuracy depending on the compression rate. Based on the observations, it can be found that the loss of major demand patterns could be prevented when targeting a reconstruction accuracy of 90–95% and the proposed method can reduce the data size while preserving major mobility patterns.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12603","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115623","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

Integrated scheduling of gantry cranes, container trucks and yard cranes in on-dock railway operation areas at multimodal container ports 多式联运集装箱港口码头铁路作业区龙门起重机、集装箱汽车和堆场起重机的综合调度

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2024-12-13 DOI: 10.1049/itr2.12600

Tian Xia, Li Wang, Qin Zhang, Jing-Xin Dong, Dong-Ping Song, Xiaoning Zhu

{"title":"Integrated scheduling of gantry cranes, container trucks and yard cranes in on-dock railway operation areas at multimodal container ports","authors":"Tian Xia, Li Wang, Qin Zhang, Jing-Xin Dong, Dong-Ping Song, Xiaoning Zhu","doi":"10.1049/itr2.12600","DOIUrl":"https://doi.org/10.1049/itr2.12600","url":null,"abstract":"On-dock railway operation areas at sea-rail container ports play a crucial role in transferring containers between maritime and rail transportation systems. The operational efficiency of these areas depends on synchronizing rail and yard container handling equipment, including gantry cranes, container trucks, and yard cranes. However, time-sensitive container handling, seamless equipment coordination, and complex operational conflicts make multi-equipment scheduling a challenging decision-making problem. This study introduces an integrated scheduling method that both alleviates inter-equipment interferences and balances gantry cranes’ workloads. The underlying problem is formulated as a binary integer programming model using a novel space-time-state network. According to the specific model structure, a model reformulation method is proposed here to convert the original three-equipment scheduling model into a single-equipment scheduling version. Additionally, a Lagrangian relaxation-based heuristic is developed to efficiently solve the reformulated model. Numerical experiments are conducted to validate the effectiveness of the proposed solution approach under various instance settings and provide managerial insights into the problem. Computational results demonstrate that the effectiveness and efficiency of the proposed solution approach. Furthermore, the results also indicate that enhanced operational efficiency in the operation area can only be achieved when the railway and storage side handling capacities are well-matched.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12600","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114563","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

Monitoring ride-hailing passenger security risk: An approach using human geography data 网约车乘客安全风险监测：基于人文地理数据的方法

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2024-12-09 DOI: 10.1049/itr2.12601

Fengjie Fu, Zhenegyi Cai, Sheng Jin, Cheng Xu

{"title":"Monitoring ride-hailing passenger security risk: An approach using human geography data","authors":"Fengjie Fu, Zhenegyi Cai, Sheng Jin, Cheng Xu","doi":"10.1049/itr2.12601","DOIUrl":"https://doi.org/10.1049/itr2.12601","url":null,"abstract":"Ride-hailing services pose significant security challenges for passengers, underscoring the need for effective security risk monitoring. While extensive research has addressed various aspects of ride-hailing, few studies specifically focus on passenger security risk monitoring. This paper introduces onSecP, an online approach designed to monitor the security risks faced by ride-hailing passengers using human geography data. onSecP comprises two phases that set it apart from conventional anomalous trajectory detection methods. First, it employs an anomalous trajectory detection model using the LCSS-Kmeans-Geoinformation technique, which identifies and scores anomalous ride-hailing trajectories. Second, it utilizes a multi-parameter risk evaluation model enhanced by the AHP-Entropy-Cluster weighting method to perform real-time calculations of passenger security risks by integrating factors such as driver characteristics, trip details, geographical environment, trajectory anomaly scores, abnormal stop duration, and passenger information. Our approach leverages diverse data sources, including ride-hailing driver information, Point of Interest (POI) data as well as optimal route data from AMap, Global Positioning System (GPS) data, expert assessments, and passenger demographic surveys. Experimental evaluations demonstrate that onSecP effectively differentiates between unsafe trips and normal or abnormal trajectories, thereby significantly improving security risk monitoring for ride-hailing passengers. Consequently, onSecP offers a robust tool for enhancing ride-hailing security warning systems.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12601","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113595","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

Evaluation of automated driving safety in urban mixed traffic environments 城市混合交通环境下自动驾驶安全性评价

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2024-12-09 DOI: 10.1049/itr2.12602

Sangjae Lee, Young Jo, Aram Jung, Juneyoung Park, Cheol Oh

{"title":"Evaluation of automated driving safety in urban mixed traffic environments","authors":"Sangjae Lee, Young Jo, Aram Jung, Juneyoung Park, Cheol Oh","doi":"10.1049/itr2.12602","DOIUrl":"https://doi.org/10.1049/itr2.12602","url":null,"abstract":"Conflicting driving behaviours between automated vehicles and manually driven vehicles may compromise driving safety. The aim of this study is to analyse the safety of mixed traffic on urban roads. The driving simulation tests were conducted using a multi-agent driving simulator, which allows real-time synchronization of multiple simulators. These data were further processed to derive the driving behaviour parameters of manually driven vehicles in VISSIM traffic simulations. Driving safety evaluation indicators included conflict-related indicators, as well as individual safety indicators. The safety evaluation indicators were normalized through min–max normalization, and the risk scores were summed to evaluate the urban roads. The analysis revealed that driving safety was poor at unsignalized intersections with a market penetration rate of 10% and 50% and at signalized intersections with traffic islands and a market penetration rate of 100%, where conflicts arise from the deceleration of leading vehicles and lane changes. This finding is about the driving behaviour of automated vehicles, which maintain a greater distance from the leading vehicle than manually driven vehicles, resulting in poorer driving safety due to lane changes rather than deceleration. Using the findings of this study, criteria for assessing the safety of mixed traffic situations in existing road infrastructures can be established.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"18 S1","pages":"2963-2976"},"PeriodicalIF":2.3,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12602","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860716","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

Development of an enhanced base unit generation framework for predicting demand in free-floating micro-mobility 开发用于预测自由浮动微移动需求的增强型基础单元生成框架

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2024-12-03 DOI: 10.1049/itr2.12596

Dohyun Lee, Kyoungok Kim

{"title":"Development of an enhanced base unit generation framework for predicting demand in free-floating micro-mobility","authors":"Dohyun Lee, Kyoungok Kim","doi":"10.1049/itr2.12596","DOIUrl":"https://doi.org/10.1049/itr2.12596","url":null,"abstract":"Accurate demand forecasting has become increasingly necessary in the burgeoning field of free-floating micro-mobility systems. However, for model training, the service area must be divided into specific areal units, which often involves grid-based methods. Although these methods are feasible and provide a uniform area division, they are highly susceptible to the Modifiable Areal Unit Problem (MAUP), which is a critical issue in spatial data analysis. Although MAUP can adversely affect predictive model learning, studies addressing this issue are scarce. Therefore, a novel base areal unit generation algorithm is proposed that employs a clustering approach to enhance the prediction accuracy in free-floating micro-mobility system demand. The method identifies suitable base areal units by merging smaller ones while considering the similarities in temporal usage patterns and distances between different areas, mitigating the impact of MAUP during model learning. The approach was evaluated using shared e-scooter data from two cities, Kansas City and Minneapolis, and it was compared to the traditional grid method. The findings indicate that the proposed framework generally improves prediction performance within the newly defined areal units.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"18 S1","pages":"2869-2883"},"PeriodicalIF":2.3,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12596","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860058","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

Review of driver behaviour modelling for highway on-ramp merging 高速公路入口匝道合流驾驶员行为模型研究综述

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2024-12-02 DOI: 10.1049/itr2.12572

Zine el abidine Kherroubi, Samir Aknine

{"title":"Review of driver behaviour modelling for highway on-ramp merging","authors":"Zine el abidine Kherroubi, Samir Aknine","doi":"10.1049/itr2.12572","DOIUrl":"https://doi.org/10.1049/itr2.12572","url":null,"abstract":"Autonomous driving is an exciting research field that has received growing attention in recent years. One of the most challenging and safety-critical driving situations is highway on-ramp merging. Most decision-making strategies that perform highway on-ramp merging are designed, firstly, to reduce the risk of crashes and improve the safety metrics. However, even with the development of such advanced driving systems, human drivers will still be involved in road traffic. Human drivers have various driving styles and different reactions to other traffic participants on the highway on-ramp. Understanding driver behaviors is essential for designing safe and efficient real-world driving strategies. Therefore, this paper provides a unique systematic review of existing techniques for modelling driver behaviors at highway on-ramps, which are critical locations for traffic safety and efficiency. The novelty of this review is that it proposes a new classification of current state-of-the art techniques. Each category of techniques involves a unique paradigm. For each category of approaches, fundamental concepts are examined together with their challenges and limitations, and an overview on practical implementation. Furthermore, and based on the classification and chronological order, current research trend is identified, i.e. “data-driven approaches”. Some future research avenues and disparities are also discussed.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"18 S1","pages":"2793-2813"},"PeriodicalIF":2.3,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12572","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859920","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

Driving range estimation for electric bus based on atomic orbital search and back propagation neural network 基于原子轨道搜索和反向传播神经网络的电动客车续驶里程估计

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2024-11-27 DOI: 10.1049/itr2.12592

Hanchen Ke, Jun Bi, Yongxing Wang, Yu Zhang

{"title":"Driving range estimation for electric bus based on atomic orbital search and back propagation neural network","authors":"Hanchen Ke, Jun Bi, Yongxing Wang, Yu Zhang","doi":"10.1049/itr2.12592","DOIUrl":"https://doi.org/10.1049/itr2.12592","url":null,"abstract":"As urbanization and transportation demands continue to increase, electric buses play an important role in sustainable urban development thanks to their advantages of emission reduction, noise and pollution reduction. However, electric buses still face some challenges, in which, range anxiety is one of the main factors limiting its popularization. To solve this problem, an accurate estimation method for the driving range of electric buses based on atomic orbital search (AOS) algorithm and back propagation neural network (BPNN) was used, in which a long-term bus operation dataset under different driving conditions is utilized to train BPNN, and then weight and bias are taken as the first generation provided for AOS approach to find a more appropriate parameter combination. Simulation and experimental analysis show that the algorithm introduced in this paper has higher prediction accuracy and efficiency compared to the traditional machine learning algorithms, that compared with BPNN, AOSBP reduced MAE, RMSE and MAPE by 85.6%, 50.9% and 64.6%, respectively, which effectively relieves range anxiety, and ensures the normal operation of the electric bus fleet.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"18 S1","pages":"2884-2895"},"PeriodicalIF":2.3,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12592","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862190","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

Intersection decision making for autonomous vehicles based on improved PPO algorithm 基于改进PPO算法的自动驾驶车辆交叉口决策

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2024-11-27 DOI: 10.1049/itr2.12593

Dong Guo, Shoulin He, Shouwen Ji

{"title":"Intersection decision making for autonomous vehicles based on improved PPO algorithm","authors":"Dong Guo, Shoulin He, Shouwen Ji","doi":"10.1049/itr2.12593","DOIUrl":"https://doi.org/10.1049/itr2.12593","url":null,"abstract":"The deployment of autonomous vehicles (AVs) in complex urban environments faces numerous challenges, especially at intersections where they coexist with human-driven vehicles (HVs), resulting in increased safety risks. In response, this study proposes an improved control strategy based on the Proximal Policy Optimization (PPO) algorithm, specifically designed for hybrid intersections, known as MSA-PPO. First, the Self-Attention Mechanism (SAM) is introduced into the algorithmic framework to quickly identify the surrounding vehicles with a greater impact on the ego vehicle from different perspectives, accelerating data processing and improving decision quality. Second, an invalid action masking mechanism is adopted to reduce the action space, ensuring actions are only selected from feasible sets, thereby enhancing decision efficiency. Finally, comparative and ablation experiments in hybrid intersection simulation environments of varying complexity are conducted to validate the algorithm's effectiveness. The results show that the improved algorithm converges faster, achieves higher decision accuracy, and demonstrates the highest speed levels during driving compared to other baseline algorithms.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"18 S1","pages":"2921-2938"},"PeriodicalIF":2.3,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12593","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862191","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

Geo-spatial traffic behaviour analysis and anomaly detection for ITS applications ITS应用的地理空间交通行为分析和异常检测

IF 2.3 4区工程技术

IET Intelligent Transport Systems Pub Date : 2024-11-26 DOI: 10.1049/itr2.12591

Erkut Akdag, Giacomo D'Amicantonio, Julien Vijverberg, David Stajan, Bart Beers, Peter H. N. De With, Egor Bondarev

{"title":"Geo-spatial traffic behaviour analysis and anomaly detection for ITS applications","authors":"Erkut Akdag, Giacomo D'Amicantonio, Julien Vijverberg, David Stajan, Bart Beers, Peter H. N. De With, Egor Bondarev","doi":"10.1049/itr2.12591","DOIUrl":"https://doi.org/10.1049/itr2.12591","url":null,"abstract":"Understanding the behaviour of traffic participants within the geo-spatial context of road/intersection topology is a vital prerequisite for any smart ITS application. This article presents a video-based traffic analysis and anomaly detection system covering the complete data processing pipeline, including sensor data acquisition, analysis, and digital twin reconstruction. The system solves the challenge of geo-spatial mapping of captured visual data onto the road/intersection topology by semantic analysis of aerial data. Additionally, the automated camera calibration component enables instant camera pose estimation to map traffic agents onto the road/intersection surface accurately. A novel aspect is approaching the anomaly detection problem by AI analysis of both the spatio-temporal visual clues and the geo-spatial trajectories for all type of traffic participants, such as pedestrians, bicyclists, and vehicles. This enables recognition of anomalies related to either traffic-rule violations, for example, jaywalking, improper turns, zig-zag driving, unlawful stops, or behavioural anomalies: littering, accidents, falling, vandalism, violence, infrastructure collapse etc. The method achieves leading anomaly detection results on benchmark datasets World Cup 2014, UCF-Crime, XD-Violence, and ShanghaiTech. All the obtained results are streamed and rendered in real-time by the developed TGX digital twin visualizer. The complete system has been deployed and validated on the roads of Helmond town in The Netherlands.","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"18 S1","pages":"2939-2962"},"PeriodicalIF":2.3,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.12591","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862170","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