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Pareto optimality control of traffic signal and vehicle speed considering mixed traffic stream at isolated intersection

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 2025年

作者： Gao, Yong Chu, Duanfeng Deng, Zejian Yang, Jia Chi, Ao Lu, Liping Intelligent Transportation Systems Research Center Wuhan University of Technology Wuhan China SAIC GM Wuling Automobile Co. Ltd. Guangxi Liuzhou China Department of Mechanical and Mechatronics Engineering University of Waterloo WaterlooON Canada State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle Hunan University Changsha China School of Computer Science and Artificial Intelligence Wuhan University of Technology Wuhan China

Most existing research on the cooperative control of traffic signals and vehicle speed encounters challenges in achieving a balance between traffic efficiency and vehicle fuel consumption at intersections. The pareto optimality control of traffic signal and vehicle speed is proposed to solve this balance problem considering mixed traffic stream at isolated intersection. This control method encompasses three main components: a multi-criteria signal control method, a vehicle speed trajectories multi-objective optimization model based on Pareto optimality, and a macro control strategy. Multi-criteria signal control method is designed based on multiple criteria to divide vehicles into groups optimally. The proposed vehicle speed trajectories multi-objective optimization model is solved by NSGA-II (Non-dominated Sorting Genetic Algorithm II) method to obtain pareto optimality. In order to illustrate the efficiency, this control method is tested in SUMO software compared with ASC (Adaptive Signal Control) method and bilevel optimization method. Average delay and average fuel consumption of this control method are reduced by 44.49% and 25.31% compared with ASC method. On the other hand, this control method also shows obvious balance effect compared with bilevel optimization method under different penetration level and demand level. Furthermore, average delay and average fuel consumption of this control method are reduced simultaneously under 250veh· l–1·h–1 level and 40% penetration level, 100% penetration level and 250veh· l–1·h-1 level. Experimental results illustrate the effectiveness of the proposed Pareto optimality-based control of traffic signals and vehicle speed. © IMechE 2025.

关键词： Multiobjective optimization

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PreZ-DGGAN: A Drug Graph GAN Based on Pre-Learning of Implicit Variables 2nd

PreZ-DGGAN: A Drug Graph GAN Based on Pre-Learning of Implic...

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2nd International Conference on Applied Intelligence, ICAI 2024

作者： Liu, Yixin Fan, Yueqin Li, Zhipeng Zhang, Qinhu Big Data and Intelligent Computing Research Center Guangxi Academy of Science Nanning530007 China School of Mechanical Engineering Guangxi University Nanning530004 China Ningbo Institute of Digital Twin Eastern Institute of Technology Ningbo315201 China Institute for Regenerative Medicine Medical Innovation Center and State Key Laboratory of Cardiology School of Medicine Shanghai East Hospital Tongji University Shanghai200123 China College of Advanced Agricultural Sciences Zhejiang Agriculture and Forestry University Hangzhou311300 China

ISBN: (纸本)9789819619061

In the field of drug discovery and development, deep learning techniques have become a powerful tool to accelerate the discovery and development of new drugs. In the design and optimization of lead molecules, generative adversarial network and graph neural network are one of the prime techniques for accelerating research and development, because the former is based on the idea of two-player game to learn drug features to generate effective molecules, while the unstructured inputs of the latter are well-suited for the analysis of molecular data. Therefore, this study develops a new graph generative adversarial model, called PreZ-DGGAN, by inserting the graph neural network layer into the generative adversarial network. Within PreZ-DGGAN, the latent variable input of the generator is pre-learned by an improved graph variational autoencoder, which effectively avoids the mode collapse of the generative adversarial network, whereas the hidden layer of the discriminator is graph neural network layer, which is able to better learn the real molecules and judge the generated molecules as true or false. Experiments on two molecule datasets show that the molecules generated by PreZ-DGGAN have higher validity (100% on average) and uniqueness (91.5% on average), and the generated molecules are more diverse in structure. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Generative adversarial networks

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Trajectory tracking control of autonomous heavy-duty mining dump trucks with uncertain dynamic characteristics

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Science China(Information Sciences) 2023年第10期66卷 246-262页

作者： Liang CHEN Zhaobo QIN Manjiang HU Hongbo GAO Yougang BIAN Biao XU Xiaoyan PENG State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Wuxi Intelligent Control Research Institute of Hunan University Department of Automation University of Science and Technology of China

The proportion of mines using autonomous mining trucks is still very low at present. To promote the development of intelligent mining, it is urgent to proceed with the drive-by-wire modification to common mining trucks and design a motion control algorithm considering uncertain dynamic *** paper proposes a trajectory tracking control method for autonomous heavy-duty mining dump trucks(AHMDTs) with uncertain dynamic characteristics. In this method, a driving/braking force compensation algorithm based on an inverse dynamic model is designed to guarantee accurate longitudinal control with less control gain tuning. Using road curvatures, a modified rear-wheel position feedback control method is proposed to deal with reverse-path tracking, which can simultaneously reduce the lateral error and yaw angle error. A modified Stanley controller considering the collaborative preview based on speed and curvature is constructed to achieve accurate path tracking in the forward gear. Moreover, the proposed method focuses on the practice of trajectory tracking control in an open-pit mine condition with the adverse effects caused by uncertain vehicle dynamics, huge variable load, and large actuator lag. Real vehicle tests show that the proposed methodology can control AHMDTs with a low tracking error.

关键词： vehicle control trajectory tracking control driving/braking force compensation rear-wheel position feedback

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View-dependent fast real-time generating algorithm for large-scale terrain

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Procedia Earth and Planetary Science 2009年第1期1卷 1147-1151页

作者： Jin, Hai-liang Lu, Xiao-ping Liu, Hui-jie Key Laboratory of Mine Spatial Information Technologies State Bureau of Surveying and Mapping Henan Polytechnic University Jiaozuo 454000 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Dalian 116622 China

In order to eliminate the popping effect of switching among levels of detail and to increase the frame rates with high image quality during the fly-through of large-scale terrain, this paper put forward a new bottom-up modeling strategy, which constructed simplified terrain triangle mesh globally and updated mesh nodes dynamically. Employed hybrid culling technique based on blocks and triangle faces and simplified computing method for screen-space errors to select appropriate terrain nodes rapidly. Then updated the Delaunay terrain mesh by adding nodes, deleting nodes and modifying locally. At the same time achieved self-adaptive control for screen-space error tolerance during the terrain fly-through. Results of simulation experiments demonstrate that the algorithm eliminates popping effect effectively, and has a higher frame rate compared with other algorithms. So it is particularly suitable for close-distance fly-through simulation of large-scale terrain. © 2009.

关键词： Landforms Image quality Visualization Bottom up modeling computing methods Delaunay Error tolerance Frame rate High image quality Large scale terrain Levels of detail Mesh nodes Other algorithms Real time visualization Self adaptive control Simulation experiments Terrain meshes Triangle mesh View dependent

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A transformer-based framework for temporal health event prediction with graph-enhanced representations

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Journal of Biomedical Informatics 2025年 166卷 104826页

作者： Liu, Tianci Liang, Lizhong Che, Chao Liu, Yunjiong Jin, Bo Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Liaoning Dalian116622 China School of Software Engineering Dalian University Liaoning Dalian116622 China School of Computer Science and Engineering Sun Yat-Sen University Guangdong Guangzhou510006 China Affiliated Hospital of Guangdong Medical University Guangdong Zhanjiang524013 China The Marine Biomedical Research Institute School of Ocean and Tropical Medicine Guangdong Medical University Guangdong Zhanjiang524023 China School of Innovation and Entrepreneurship Dalian University of Technology Liaoning Dalian116024 China

Objective: Deep learning approaches have demonstrated significant potential in predicting temporal health events in recent years. However, existing methods have not fully leveraged the complex interactions among comorbidities and have overlooked imbalances and temporal irregularities in admission records. Methods: This study proposes GLT-Net, a deep learning approach that combines Graph Learning with Transformer framework to tackle these challenges. GLT-Net begins by constructing a patient association graph to generate unique representations for each individual. At the same time, the hierarchical structure of diagnosis codes is utilized to pre-train the diagnosis code embeddings. Subsequently, a comorbidity association matrix is created to illustrate the relationships between comorbidities, and graph neural networks are employed to enhance the feature representations of diagnosis codes. Finally, a Transformer-Encoder framework captures the dependencies in historical admission records by incorporating time information. Results: We demonstrate our approach on two tasks in temporal health event predcition. Experimental results on real-world datasets show that GLT-Net outperforms baseline models in forecasting temporal health events. Additionally, a case study demonstrates the effectiveness of GLT-Net in predicting health events. Conclusion: Understanding progression patterns over time, comorbidity associations, and patient characterization is essential for predicting temporal health events. Our study provides new insights and methods for a deeper understanding of patient health status and disease trends. Moreover, our model can be extended to other data sources, enhancing its versatility. © 2025 Elsevier Inc.

关键词： Electronic health record

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Development of electric cart for improving walking ability — application of control theory to assistive technology

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Science China(Information Sciences) 2017年第12期60卷 262-270页

作者： Jinhua SHE Yasuhiro OHYAMA Min WU Hiroshi HASHIMOTO School of Engineering Tokyo University of Technology School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Master Program of Innovation for Design & Engineering Advanced Institute of Industrial Technology

This paper explains the development of an electric cart that helps the elderly maintain or improve their physical strength. Unlike commercially available ones, it has a pedal unit that provides some exercise for a user in training his lower limbs. An impedance model describes the feeling of pushing the pedals. The largest pedal load is determined based on a pedaling experiment. An H∞ controller is designed for each of the largest pedal load and virtually no load. A control law, which is based on the concept of dynamic parallel distributed compensation, is designed using the rating of perceived exertion of a driver as a criterion to choose a pedal load between the largest and almost zero. Five university students and twelve elderly people participated experiments to verify the system design and the validity of the system.

关键词： aging Borg’s scale dynamic parallel distributed compensation electrical cart H_∞ control Karvonen formula lower limbs pedaling rating of perceived exertion

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Adaptive Fixed-Time Synchronization of Delayed Memristor-Based Neural Networks with Discontinuous Activations

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Computer Modeling in Engineering & Sciences 2023年第1期134卷 221-239页

作者： Tianyuan Jia Xiangyong Chen Xiurong Yao Feng Zhao Jianlong Qiu School of Automation and Electrical Engineering and Key Laboratory of Complex Systems and Intelligent Computing in Universities of ShandongLinyi UniversityLinyi276005China The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems and School of AutomationChina University of GeosciencesWuhan430074China

Fixed-time synchronization(FTS)of delayed memristor-based neural networks(MNNs)with discontinuous activations is studied in this *** continuous and discontinuous activations are considered *** the mixed delays which are closer to reality are taken into the ***,two kinds of control schemes are proposed,including feedback and adaptive control *** on some lemmas,mathematical inequalities and the designed controllers,a few synchronization criteria are ***,the upper bound of settling time(ST)which is independent of the initial values is ***,the feasibility of our theory is attested by simulation examples.

关键词： Memristor-based neural networks fixed-time synchronization mixed delays discontinuous activations adaptive control

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A comparative study of methodologies for designing IDSSs

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 1997年第2期103卷 277-295页

作者： Blair, A Debenham, J Edwards, J Intelligent Decision Support System Laboratory Key Centre for Advanced Computing Studies School of Computing Sciences University of Technology P.O. Box 123 Broadway N.S.W. 2007 Australia

In this paper, we describe a comprehensive study conducted to understand the methodologies which are being used to design intelligent Decision Support Systems (IDSSs) and to identify the key methodological problems and benefits with using these methodologies. This comprehensive study consists of two parts. The first part is two surveys which together identify the design methodologies being used by a group of IDSS developers and how acceptable they believe their methodologies were for designing their IDSSs. The second part is a comparison of six major formal IDSS design methodologies recently published in the literature and which are not yet known to many developers. This paper is presented to assist IDSS developers in understanding what support can be gained from using existing design methodologies and hence choose the correct one for their project. Furthermore, the paper may be used by IDSS developers to compare the way that they work with the approach proposed by other developers. (C) 1997 Elsevier Science B.V.

关键词： decision support systems knowledge based systems intelligent decision support systems

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A novel modeling and analysis of mechanical properties of single-component thermal conductive silica gel

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Scientific Reports 2025年第1期15卷 1-20页

作者： Wang, Yuezhen Li, Xiaoguang Liu, Zhifeng Jiang, Zhichao Li, Zhijie Li, Ying School of Liberal Arts and Sciences North China Institute of Aerospace Engineering Langfang 065000 China School of Mechanical and Electrical Engineering North China Institute of Aerospace Engineering Langfang 065000 China Key Laboratory of CNC Equipment Reliability Ministry of Education School of Mechanical and Aerospace Engineering Jilin University Changchun 130012 China Institute of Advanced Manufacturing and Intelligent Technology Faculty of Materials and Manufacturing Beijing University of Technology Beijing 100124 China Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing Beijing University of Technology Beijing 100124 China

Single-component thermal conductive silica gel (S-TCSG) is a new type of thermal conductive material for packaging electronic components in high-performance printed circuit boards. Its mechanical properties can lead to excessive deformation of printed circuit boards or even solder joint fracture during screw fastening or falling. In this paper, an experimental program was developed to study the mechanical properties of the S-TCSG, such as cushioning property, creep and stress relaxation. The relationship model is established between cushioning coefficient, compression stress and compression strain on the basis of the compression stress-strain test. In addition, the time-varying laws of the compression creep and stress relaxation of the S-TCSG were studied experimentally. The elastic modulus, relaxation modulus and creep compliance can be obtained based on the experimental data. A nonlinear finite element model (FEM) of the S-TCSG is established. Furthermore, the influence of gel thickness on stress distribution is analyzed in screw tightening. A mathematical model is proposed to characterize the relationship between gel thickness, compressive stress and displacement load. This study is of great practical significance to the rationality of coating thickness of the S-TCSG and the performance improvement of printed circuit boards. © The Author(s) 2025.

关键词： Bolted joints Creep Cushioning property Single-component thermal conductive silica gel Stress relaxation

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Finding Emotional Focus for Emotion Recognition at Sentence Level

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电子学报(英文版) 2013年第1期22卷 99-103页

作者： QUAN Changqin REN Fuji Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei 230009 China Faculty of Engineering The University of Tokushima Tokushima Japan

Emotion recognition at sentence level is one of the fundamental problems of textual emotion un- derstanding. Based on the observation that sentence emo- tional focus can be expressed by some clauses in this sen- tence, this paper proposes to find the emotional focus for sentence emotion recognition. For the sake of breaking through the problems brought about by depending on emo- tion lexicons, we first recognize word emotions in a sen- tence based on Maximum entropy model. And then homo- geneous Markov model is built for clause emotion recogni- tion; After that, a strategy based on emotion selection is proposed for a sentence with multiple clauses, and genetic algorithm is used for clause selection by textual feature weighting. The experimental results show that, comparing with the baseline, there are 9.1% and 3.6% improvement respectively for two different evaluations. It is demon- strated that finding emotional focus by clause selection is able to improve the performance of sentence emotion recognition significantly.

关键词：情感识别句子层面聚焦马尔可夫模型最大熵模型特征加权遗传算法

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