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  Subjects -> ELECTRONICS (Total: 184 journals)
Showing 1 - 200 of 277 Journals sorted alphabetically
Acta Electronica Malaysia     Open Access  
Advances in Biosensors and Bioelectronics     Open Access   (Followers: 7)
Advances in Electrical and Electronic Engineering     Open Access   (Followers: 6)
Advances in Electronics     Open Access   (Followers: 79)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Microelectronic Engineering     Open Access   (Followers: 13)
Advances in Power Electronics     Open Access   (Followers: 33)
Advancing Microelectronics     Hybrid Journal  
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 318)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 24)
Annals of Telecommunications     Hybrid Journal   (Followers: 9)
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 9)
Archives of Electrical Engineering     Open Access   (Followers: 13)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 28)
Bioelectronics in Medicine     Hybrid Journal  
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 19)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 36)
Biomedical Instrumentation & Technology     Hybrid Journal   (Followers: 6)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 12)
BULLETIN of National Technical University of Ukraine. Series RADIOTECHNIQUE. RADIOAPPARATUS BUILDING     Open Access   (Followers: 1)
Bulletin of the Polish Academy of Sciences : Technical Sciences     Open Access   (Followers: 1)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 47)
China Communications     Full-text available via subscription   (Followers: 8)
Chinese Journal of Electronics     Hybrid Journal  
Circuits and Systems     Open Access   (Followers: 15)
Consumer Electronics Times     Open Access   (Followers: 5)
Control Systems     Hybrid Journal   (Followers: 267)
Edu Elektrika Journal     Open Access   (Followers: 1)
Electrica     Open Access  
Electronic Design     Partially Free   (Followers: 106)
Electronic Markets     Hybrid Journal   (Followers: 7)
Electronic Materials Letters     Hybrid Journal   (Followers: 4)
Electronics     Open Access   (Followers: 86)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 10)
Electronics For You     Partially Free   (Followers: 93)
Electronics Letters     Hybrid Journal   (Followers: 26)
Elkha : Jurnal Teknik Elektro     Open Access  
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 51)
Energy Harvesting and Systems     Hybrid Journal   (Followers: 4)
Energy Storage Materials     Full-text available via subscription   (Followers: 3)
EPJ Quantum Technology     Open Access  
EURASIP Journal on Embedded Systems     Open Access   (Followers: 11)
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Foundations and Trends® in Communications and Information Theory     Full-text available via subscription   (Followers: 6)
Foundations and Trends® in Signal Processing     Full-text available via subscription   (Followers: 10)
Frequenz     Hybrid Journal   (Followers: 1)
Frontiers of Optoelectronics     Hybrid Journal   (Followers: 1)
Geoscience and Remote Sensing, IEEE Transactions on     Hybrid Journal   (Followers: 197)
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 4)
IACR Transactions on Symmetric Cryptology     Open Access  
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 97)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 77)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 46)
IEEE Journal of the Electron Devices Society     Open Access   (Followers: 9)
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits     Hybrid Journal   (Followers: 1)
IEEE Power Electronics Magazine     Full-text available via subscription   (Followers: 67)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 70)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 56)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 20)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 40)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 19)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 26)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 70)
IEEE Transactions on Signal and Information Processing over Networks     Full-text available via subscription   (Followers: 12)
IEICE - Transactions on Electronics     Full-text available via subscription   (Followers: 12)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (Followers: 5)
IET Cyber-Physical Systems : Theory & Applications     Open Access   (Followers: 1)
IET Microwaves, Antennas & Propagation     Hybrid Journal   (Followers: 35)
IET Nanodielectrics     Open Access  
IET Power Electronics     Hybrid Journal   (Followers: 46)
IET Smart Grid     Open Access  
IET Wireless Sensor Systems     Hybrid Journal   (Followers: 18)
IETE Journal of Education     Open Access   (Followers: 4)
IETE Journal of Research     Open Access   (Followers: 11)
IETE Technical Review     Open Access   (Followers: 13)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
Industrial Electronics, IEEE Transactions on     Hybrid Journal   (Followers: 58)
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 25)
Informatik-Spektrum     Hybrid Journal   (Followers: 2)
Instabilities in Silicon Devices     Full-text available via subscription   (Followers: 1)
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 13)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (Followers: 18)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 10)
International Journal of Antennas and Propagation     Open Access   (Followers: 11)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 4)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 6)
International Journal of Control     Hybrid Journal   (Followers: 11)
International Journal of Electronics     Hybrid Journal   (Followers: 7)
International Journal of Electronics and Telecommunications     Open Access   (Followers: 13)
International Journal of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 2)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Hybrid Intelligence     Hybrid Journal  
International Journal of Image, Graphics and Signal Processing     Open Access   (Followers: 14)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 8)
International Journal of Nano Devices, Sensors and Systems     Open Access   (Followers: 12)
International Journal of Nanoscience     Hybrid Journal   (Followers: 1)
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields     Hybrid Journal   (Followers: 4)
International Journal of Power Electronics     Hybrid Journal   (Followers: 24)
International Journal of Review in Electronics & Communication Engineering     Open Access   (Followers: 4)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (Followers: 10)
International Journal of Systems, Control and Communications     Hybrid Journal   (Followers: 4)
International Journal of Wireless and Microwave Technologies     Open Access   (Followers: 6)
International Transaction of Electrical and Computer Engineers System     Open Access   (Followers: 2)
JAREE (Journal on Advanced Research in Electrical Engineering)     Open Access  
Journal of Biosensors & Bioelectronics     Open Access   (Followers: 3)
Journal of Advanced Dielectrics     Open Access   (Followers: 1)
Journal of Artificial Intelligence     Open Access   (Followers: 10)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (Followers: 4)
Journal of Computational Intelligence and Electronic Systems     Full-text available via subscription   (Followers: 1)
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 25)
Journal of Electrical Bioimpedance     Open Access  
Journal of Electrical Bioimpedance     Open Access   (Followers: 2)
Journal of Electrical Engineering & Electronic Technology     Hybrid Journal   (Followers: 7)
Journal of Electrical, Electronics and Informatics     Open Access  
Journal of Electromagnetic Analysis and Applications     Open Access   (Followers: 7)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 8)
Journal of Electronic Design Technology     Full-text available via subscription   (Followers: 6)
Journal of Electronics (China)     Hybrid Journal   (Followers: 4)
Journal of Energy Storage     Full-text available via subscription   (Followers: 4)
Journal of Engineered Fibers and Fabrics     Open Access   (Followers: 2)
Journal of Field Robotics     Hybrid Journal   (Followers: 3)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 169)
Journal of Information and Telecommunication     Open Access   (Followers: 1)
Journal of Intelligent Procedures in Electrical Technology     Open Access   (Followers: 3)
Journal of Low Power Electronics     Full-text available via subscription   (Followers: 7)
Journal of Low Power Electronics and Applications     Open Access   (Followers: 9)
Journal of Microelectronics and Electronic Packaging     Hybrid Journal  
Journal of Microwave Power and Electromagnetic Energy     Hybrid Journal  
Journal of Microwaves, Optoelectronics and Electromagnetic Applications     Open Access   (Followers: 10)
Journal of Nuclear Cardiology     Hybrid Journal  
Journal of Optoelectronics Engineering     Open Access   (Followers: 4)
Journal of Physics B: Atomic, Molecular and Optical Physics     Hybrid Journal   (Followers: 29)
Journal of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 11)
Journal of Semiconductors     Full-text available via subscription   (Followers: 5)
Journal of Sensors     Open Access   (Followers: 26)
Journal of Signal and Information Processing     Open Access   (Followers: 9)
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer     Open Access  
Jurnal Rekayasa Elektrika     Open Access  
Jurnal Teknik Elektro     Open Access  
Jurnal Teknologi Elektro     Open Access  
Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control     Open Access  
Learning Technologies, IEEE Transactions on     Hybrid Journal   (Followers: 12)
Magnetics Letters, IEEE     Hybrid Journal   (Followers: 7)
Majalah Ilmiah Teknologi Elektro : Journal of Electrical Technology     Open Access   (Followers: 2)
Metrology and Measurement Systems     Open Access   (Followers: 5)
Microelectronics and Solid State Electronics     Open Access   (Followers: 19)
Nanotechnology Magazine, IEEE     Full-text available via subscription   (Followers: 33)
Nanotechnology, Science and Applications     Open Access   (Followers: 6)
Nature Electronics     Hybrid Journal  
Networks: an International Journal     Hybrid Journal   (Followers: 5)
Open Electrical & Electronic Engineering Journal     Open Access  
Open Journal of Antennas and Propagation     Open Access   (Followers: 8)
Optical Communications and Networking, IEEE/OSA Journal of     Full-text available via subscription   (Followers: 15)
Paladyn. Journal of Behavioral Robotics     Open Access   (Followers: 1)
Power Electronics and Drives     Open Access   (Followers: 1)
Problemy Peredachi Informatsii     Full-text available via subscription  
Progress in Quantum Electronics     Full-text available via subscription   (Followers: 7)
Pulse     Full-text available via subscription   (Followers: 5)
Radiophysics and Quantum Electronics     Hybrid Journal   (Followers: 2)
Recent Advances in Communications and Networking Technology     Hybrid Journal   (Followers: 3)
Recent Advances in Electrical & Electronic Engineering     Hybrid Journal   (Followers: 9)
Research & Reviews : Journal of Embedded System & Applications     Full-text available via subscription   (Followers: 5)
Revue Méditerranéenne des Télécommunications     Open Access  
Security and Communication Networks     Hybrid Journal   (Followers: 2)
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of     Hybrid Journal   (Followers: 54)
Semiconductors and Semimetals     Full-text available via subscription   (Followers: 1)
Sensing and Imaging : An International Journal     Hybrid Journal   (Followers: 2)
Services Computing, IEEE Transactions on     Hybrid Journal   (Followers: 4)
Software Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 75)
Solid-State Circuits Magazine, IEEE     Hybrid Journal   (Followers: 13)
Solid-State Electronics     Hybrid Journal   (Followers: 9)
Superconductor Science and Technology     Hybrid Journal   (Followers: 2)
Synthesis Lectures on Power Electronics     Full-text available via subscription   (Followers: 3)
Technical Report Electronics and Computer Engineering     Open Access  
TELE     Open Access  
Telematique     Open Access  
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)     Open Access   (Followers: 9)
Universal Journal of Electrical and Electronic Engineering     Open Access   (Followers: 6)
Visión Electrónica : algo más que un estado sólido     Open Access   (Followers: 1)
Wireless and Mobile Technologies     Open Access   (Followers: 6)
Wireless Power Transfer     Full-text available via subscription   (Followers: 4)
Women in Engineering Magazine, IEEE     Full-text available via subscription   (Followers: 11)
Електротехніка і Електромеханіка     Open Access  

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Similar Journals
Journal Cover
Intelligent Transportation Systems Magazine, IEEE
Journal Prestige (SJR): 0.816
Citation Impact (citeScore): 4
Number of Followers: 13  
  Full-text available via subscription Subscription journal
ISSN (Print) 1939-1390
Published by IEEE Homepage  [191 journals]
  • [Front cover]
    • Abstract: Presents the front cover for this issue of the publication.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • Introducing IEEE Collabratec
    • Abstract: Advertisement, IEEE. IEEE Collabratec is a new, integrated online community where IEEE members, researchers, authors, and technology professionals with similar fields of interest can network and collaborate, as well as create and manage content. Featuring a suite of powerful online networking and collaboration tools, IEEE Collabratec allows you to connect according to geographic location, technical interests, or career pursuits. You can also create and share a professional identity that showcases key accomplishments and participate in groups focused around mutual interests, actively learning from and contributing to knowledgeable communities. All in one place! Learn about IEEE Collabratec at
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • [List staff]
    • Pages: 2 - 4
      Abstract: Provides a listing of current staff, committee members and society officers.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • Should We Trust to ITS' Underlying Sensor Systems' [Editor's Column]
    • Authors: Ljubo Vlacic;
      Pages: 2 - 3
      Abstract: Presents the introductory editorial for this issue of the publication.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • On the Right Track [President's Message]
    • Authors: Miguel Angel Sotelo;
      Pages: 4 - 127
      Abstract: Presents the President’s message for this issue of the publication.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • Practical Sensing Techniques for Intelligent Vehicles [Guest Editorial]
    • Authors: Zhixiong Li;Miguel Angel Sotelo;Fernando Garcia Fernandez;Reza Malekian;Zhaozheng Hu;
      First page: 5
      Abstract: In the past decades, intelligent vehicles (IVs) have attracted increasing attentions due to their great potential in enhancing vehicle safety and performance and traffic efficiency. As one of the fundamental techniques for IVs, sensing technique has attracted considerable attentions in both academic and industrial communities. For instance, the pioneers, such as Mobileye, Google and Tesla, have developed sensing products for IVs. Currently, they continue developing more efficient and robust sensing methods for the purpose of better control of IVs. However, there are still some problems that should be solved. For example, how to localize the IVs with high accuracy and low cost' How to make object recognition in a real-time manner' How to make sensing-devices for special vehicles' And many others still stand as the big challenges to design the intelligent vehicles. Many approaches will be developed to achieve better performance for IVs.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • Fog Computing for Detecting Vehicular Congestion, an Internet of Vehicles
           Based Approach: A Review
    • Authors: Arnav Thakur;Reza Malekian;
      Pages: 8 - 16
      Abstract: Vehicular congestion is directly impacting the efficiency of the transport sector. A wireless sensor network for vehicular clients is used in Internet of Vehicles based solutions for traffic management applications. It was found that vehicular congestion detection by using Internet of Vehicles based connected vehicles technology are practically feasible for congestion handling. It was found that by using Fog Computing based principles in the vehicular wireless sensor network, communication in the system can be improved to support larger number of nodes without impacting performance. In this paper, connected vehicles technology based vehicular congestion identification techniques are studied. Computing paradigms that can be used for the vehicular network are studied to develop a practically feasible vehicular congestion detection system that performs accurately for a large coverage area and multiple scenarios. The designed system is expected to detect congestion to meet traffic management goals that are of primary importance in intelligent transportation systems.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • Error-Driven-Based Nonlinear Feedback Recursive Design for Adaptive NN
           Trajectory Tracking Control of Surface Ships With Input Saturation
    • Authors: Yong Ma;Guibing Zhu;Zhixiong Li;
      Pages: 17 - 28
      Abstract: In this paper, we investigate the trajectory tracking control problem of surface ship subject to the dynamic uncertainties, unknown time-varying disturbances and input saturation. To handle the non-smooth input saturation nonlinearity and compensate the ship dynamic uncertainties, Gaussian error function and adaptive neural network technique are employed. In control design, to obtain the transient motion reference signal, finite-time nonlinear tracking differentiator is applied to generate virtual reference signal and to extract the derivative of virtual control law. Referring to the effects of the kinematics subsystem on the kinetics subsystem caused by the error of tracking differentiator, and the effects of the input saturation on the control accuracy and the dynamic quality of the trajectory tracking control system, we propose an error-driven-based nonlinear feedback recursive design technique to design trajectory tracking control law, and employ a new non-quadratic Lyapunov functions to analyze the trajectory tracking control system stability. The proposed control scheme fully embodies the characteristics of the low-gain and high-gain control, and overcomes the effect of tracking differentiator error on closed-loop system by recursive design method. Simulation results verify the effectiveness of our proposed control scheme.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • Trajectory Planning and Tracking for Autonomous Vehicle Based on State
           Lattice and Model Predictive Control
    • Authors: Chaoyong Zhang;Duanfeng Chu;Shidong Liu;Zejian Deng;Chaozhong Wu;Xiaocong Su;
      Pages: 29 - 40
      Abstract: Trajectory planning and tracking control are two keys of collision avoidance for autonomous vehicles in critical traffic scenarios. It requires not only the system functionality, but also strong real-time. In this paper, we integrated trajectory planner and tracking controller for autonomous vehicle to implement trace planning and tracking for obstacle avoidance. The trajectory planner is based on the state lattice approach and the tracking controller is designed based on the model predictive control using the vehicle kinematics model. The simulation shows that the planner can generate smooth trajectories which could be selected as references for the controller. The maximum tracking error is less than 0.2 m when the vehicle speed is below 50 km/h. Additionally, the on field test shows that the test vehicle with this method is capable of following the reference path accurately, even at sharp corners.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • Understanding Individualization Driving States via Latent Dirichlet
           Allocation Model
    • Authors: Zhijun Chen;Yishi Zhang;Chaozhong Wu;Bin Ran;
      Pages: 41 - 53
      Abstract: Automatic driving technology has become one of the hottest research topics of the Intelligent Transportation System (ITS) and Artificial Intelligence (AI) in the recent years. The development of automatic driving technology can be promoted through understanding driving states of each driver (individualization driving). Although some methods for driving states understanding are proposed by previous studies, the latent driving states and structured driving behaviors has not yet been automatically discovered. The purpose of this study is to develop an unsupervised method for deeply understanding the individualization driving. First, an encode method is proposed to extracted driving behavior from vehicle motion data. Then, Latent Dirichlet Allocation (LDA) model is innovatively developed to understand latent driving states and quantified structure of the driving behavior patterns (topics) from individualization driving (documents) using driving behaviors (words). In order to validate the performance and effectiveness of the proposed method, twenty-two drivers (15 males and 7 females) were recruited to carry out road experiments in Wuhan, China for experiments data collection. In addition, two typical unsupervised methods, including k-means and the random method are established and their performances are compared in our experiments. Experimental results verify the superiority of proposed method compared with other methods.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • Rough Set Based Method for Vehicle Collision Risk Assessment Through
           Inferring Driver's Braking Actions in Near-Crash Situations
    • Authors: Liqun Peng;Miguel Angel Sotelo;Yi He;Yunfei Ai;Zhixiong Li;
      Pages: 54 - 69
      Abstract: Driving information and data under potential vehicle crashes create opportunities for extensive real-world observations of driver behaviors and relevant factors that significantly influence the driving safety in emergency scenarios. Furthermore, the availability of such data also enhances the collision avoidance systems (CASs) by evaluating driver's actions in near-crash scenarios and providing timely warnings. These applications motivate the need for heuristic tools capable of interpreting the correlations of driving risk with driver/vehicle characteristics and incidental traffic factors. In this paper, we acquired amount of real-world field data and built a comprehensive "driver-vehicle-road" dataset for actual driver behavior evaluation. The proposed method works in two steps. In the first step, a variable precision rough set (VPRS) based classifier derives a simplified decision rules from field driving dataset, which presents the essential attributes relevant to driving safety. In the second step, we quantify the mutual information entropy of each attribute to evaluate the significance of different factors on happening a vehicle crash, then an accumulation of weighted "driver-vehicle-road" is calculated to achieve an index reflecting the driving safety level. The performance of the proposed method is demonstrated in an offline analysis of the driving data collected from field trials, where the goal is to infer the emergency braking actions in next short term. The results indicate that our proposed model is a good alternative for providing drivers immediate warnings with high prediction accuracy and stability.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • Traffic Speed Prediction Under Non-Recurrent Congestion: Based on LSTM
           Method and BeiDou Navigation Satellite System Data
    • Authors: Jiandong Zhao;Yuan Gao;Zhiming Bai;Hao Wang;Shuhan Lu;
      Pages: 70 - 81
      Abstract: The full utilization of Location-Based Vehicle Sensor Data (LB-VSD) can improve the efficiency of traffic control and management. Currently, LB-VSD is widely applied to the prediction of traffic speed. Like the GPS system, BeiDou satellite navigation system (BDS) can collect LB-VSD. In China, the key operation vehicles on the expressway are equipped with BDS to monitor the travel path. This provides a basis for predicting the traffic speed on expressway accurately. In this paper, considering the abnormal data collected by BDS, the screening and processing rules are made, and then the traffic speed sequence is extracted. Considering the data-missing problem caused by equipment failure or abnormal data elimination and the data sparse problem caused by small size of sample, a filling method based on trend-historical data is proposed. Traffic flow evolution is a complex process. Sudden accidents or bad weather can cause a sudden change in traffic flow and non-recurrent traffic congestion. The prediction accuracy of traditional machine learning methods is low when non-recurrent congestion occurred. In order to solve this problem, this paper adopts a deep learning model'Long Short-Term Memory (LSTM) to predict the traffic speed. Moreover, three-regime algorithm is used while building the prediction model. The prediction method is compared with Support Vector Regression (SVR) method. The results show that the prediction accuracy of the proposed method is higher than that of SVR algorithm, and the robustness is better in the case of non-recurrent traffic congestion.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • A Comparative Study of State-of-the-Art Deep Learning Algorithms for
           Vehicle Detection
    • Authors: Hai Wang;YIjie Yu;Yingfeng Cai;Xiaobo Chen;Long Chen;Qingchao Liu;
      Pages: 82 - 95
      Abstract: In recent years, the deep learning object detection algorithms using 2D images have become the powerful tools for road object detection in autonomous driving. In fact, the deep learning methods for road vehicle detection have achieved the remarkable results. Although there have been a large number of studies that thoroughly explored various types of deep learning methods for vehicle detection, there are a few studies that compare and evaluate the detection time and detection accuracy of the mainstream deep learning object detection algorithms for vehicle detection. Here, this article compares five mainstream deep learning object detection algorithms in vehicle detection, namely the faster RCNN, R-FCN, SSD, RetinaNet, and YOLOv3 on the KITTI data and analyze the obtained results. The detection time and detection accuracy of the five object-detection algorithms on the KITTI test set are compared and analyzed; the PR curve and AP value are used to evaluate the detection accuracy.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • A Wireless Localization Algorithm With BPNN-MEA-QPSO for Connected Vehicle
    • Authors: Lei Chen;Jiangfeng Wang;Jian Wang;Zhijun Gao;Jiakuan Dong;Xuedong Yan;
      Pages: 96 - 109
      Abstract: As one of key technologies of connected vehicles (CVs) applications, wireless localization can provide accurate and reliable vehicle location for high occupancy tolling and safety critical vehicle applications, such as collision avoidance. Several artificial intelligence methods, such as back propagation neural network (BPNN) and particle swarm optimization (PSO) method, have been employed to optimize the pass-loss model and to improve the accuracy of wireless localization algorithm. However, in view of the stochasticity of initial weights and thresholds in BPNN, it is difficult to reach the global convergence. In this study, a novel double-layer architecture for wireless localization algorithm is proposed based on the optimization of initial weights and thresholds in BPNN and the refinement of search direction and step in PSO algorithm. Based on the architecture, the wireless localization algorithm integrating BPNN with mind evolutionary algorithm (MEA) and quantum-behaved PSO (QPSO) method is proposed and validated using the experiment data in field environment. The validation results show that the proposed localization algorithm has better localization accuracy by comparison with the other localization algorithms, which the average error of the proposed localization algorithm in field environment is about 19 meters. In addition, the localization accuracy shows an improving tendency with the increasing of the number of base stations connected to moving vehicle. The location error is less than 10 meters when the number of base stations connected to the moving vehicle is greater than 7. For the wireless localization in field environment, the accuracy is acceptable for CVs applications.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • A Novel Rail Inspection Robot and Fault Detection Method for the Coal Mine
           Hoisting System
    • Authors: Chaoquan Tang;Gongbo Zhou;Zhaoxing Gao;Xin Shu;Pengpeng Chen;
      Pages: 110 - 121
      Abstract: Rail is an important part of coal mine hoisting system, and its fault detection is an important work of mine daily maintenance. In this paper, a new inspection robot system and corresponding detection method are proposed to detect the faults in the rail of coal mine hoisting system. The robot system will replace the manual inspection work in the mine, and will greatly improve the efficiency of inspection. The robot is driven by a magnetic wheel to ensure its smooth motion on a vertical rail. In order to increase the adsorption capacity of the magnetic wheel, the halbach array based on multi block magnets is adopted in the magnetic wheel, and the relationship between the number of magnets and the adsorption force is analyzed. In addition, aiming at the problem of rail fault detection, a new method is proposed to estimate the rail deformation by using the robot's attitude perception. A method of robot positioning on rail is also proposed by combining fault detection as landmark and mileage estimation. Finally, the proposed method is verified by experiments. This inspection robot system can improve the efficiency of rail inspection of mine hoisting system, and the proposed detection scheme can also be extended to railway rail inspection.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • [PhD & MPhil Theses' Abstracts]
    • Authors: Fernando Garcia Fernandez;Zhixiong Li;
      Pages: 122 - 124
      Abstract: Provides an abstract for each of three PhD/MPhil theses. The complete theses were not made available for publication herein.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • Professor Weisong Shi, PhD, FIEEE [ITS People]
    • Authors: Asad Hoque;
      Pages: 125 - 127
      Abstract: Presents a profile of Professor Weisong Shi, PhD.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • Transportation Active Safety Institute - A Brief Introduction [ITS
           Research Lab]
    • Authors: Cristina Oliverri-Monreal;
      Pages: 128 - 131
      Abstract: The Transportation Active Safety Institute’s (TASI) mission is to advance autonomous vehicle technology and intelligent transportation systems to enhance safety and mobility. TASI’s primary goal is to conduct world-class research, development, and performance evaluation of connected and automated vehicles and transportation safety technologies through partnership with academia, industry, government, and research organizations globally. The vision is to become a prominent academic research center recognized internationally for its unique and distinctive research and scholarly activity in the field.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
  • [Calendar]
    • Authors: Martin Lauer;
      First page: 132
      Abstract: Provides a listing of upcoming events of interest to practitioners and researchers.
      PubDate: Summer 2019
      Issue No: Vol. 11, No. 2 (2019)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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