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A V2V Emergent Message Dissemination Scheme for 6G-Oriented Vehicular Networks

Chinese Journal of Electronics 2023年第6期32卷 1179-1191页

作者： CHEN Chen WANG Chenyu CONG Li XIAO Ming PEI Qingqi School of Telecommunication Engineering Xidian University the state grid jilin province electric power company limited information communication company KTH Royal Institute of Technology

To ensure traffic safety and improve traffic efficiency, vehicular networks come up with multiple types of messages for safety and efficiency applications. In sixth-generation(6G) systems, these messages should be timely and error-free disseminated through vehicle-to-vehicle(V2V) communication to ensure traffic safety and efficiency. V2V supports direct communication between two vehicle user equipments, regardless of whether a base station is involved. We propose a packet delivery ratio(PDR)-based message dissemination scheme(PDR-MD) between V2V in 6G-oriented vehicular networks to select relay vehicles when broadcasting emergent messages. This scheme grasps the balance between vehicle distance and PDR so as to reduce transmission delay while ensuring reliable PDR. We compared the PDR-MD scheme with other probabilistic broadcasting schemes. The experimental results show that the PDRMD protocol can maintain close to 95% and above PDR in transmitting emergent messages, and the transfer rate stays below 40%.

关键词： 6G mobile communication Protocols Urban areas Vehicular ad hoc networks Broadcasting Probabilistic logic Safety

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Classification for Glass Bottles Based on Improved Selective Search Algorithm

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Computers, Materials & Continua 2020年第7期64卷 233-251页

作者： Shuqiang Guo Baohai Yue Manyang Gao Xinxin Zhou Bo Wang School of Computer Science Northeast Electric Power UniversityJilin132000China information and communication company State Grid Tianjin Electric Power CompanyTianjin300000China Graduate School of Science and Engineering Iwate UniversityMorioka020-8550Japan

The recycling of glass bottles can reduce the consumption of resources and contribute to environmental *** present,the classification of recycled glass bottles is difficult due to the many differences in specifications and *** paper proposes a classification algorithm for glass bottles that is divided into two stages,namely the extraction of candidate regions and the classification of *** the candidate region extraction stage,aiming at the problem of the large time overhead caused by the use of the SIFT(scale-invariant feature transform)descriptor in SS(selective search),an improved feature of HLSN(Haar-like based on SPP-Net)is *** integral graph is introduced to accelerate the process of forming an HBSN vector,which overcomes the problem of repeated texture feature calculation in overlapping regions by *** the classification stage,the improved SS algorithm is used to extract target *** target regions are merged using a non-maximum suppression algorithm according to the classification scores of the respective regions,and the merged regions are classified using the trained *** demonstrate that,compared with the original SS,the improved SS algorithm increases the calculation speed by 13.8%,and its classification accuracy is 89.4%.Additionally,the classification algorithm for glass bottles has a certain resistance to noise.

关键词： Classification of glass bottle HBSN feature improved selective search algorithm LightGBM

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Regional Phase Change Storage Station Optimal Operation Considering Dynamic Temperature Estimation Based on BP Neural Network

Regional Phase Change Storage Station Optimal Operation Cons...

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第37届中国控制会议

作者： Jin Lu Cheng Ling Zhang Shicong Yang Yi Qin Jian Zheng Wen China electric power Research Institute China School of information Science & Engineering Northeastern University state grid Liaoning electric power Supply Co. LTD Baicheng power supply company of jilin province electric power company limited

At present, most of the electro-thermal system optimization and control do not consider the matching relationship between the rapid fluctuation characteristics of renewable energy and the large inertia of the thermal system. The system’s analysis and optimal control method of the electric-thermal combined system with phase-change thermal storage station are still at a blank stage. In view of the above problems, this paper analyzes the principle of energy transfer, conversion and storage in the electric-thermal system. A method based on BP neural network for dynamic estimation is proposed to optimize the operation control considering the model of phase change thermal storage system. Further, the phase change heat storage system is used to solve the wind power curtailment problem, so as to lay out the foundation for the optimal regulation in the electric-thermal storage system.

关键词： Phase change thermal storage station Dynamic temperature BP neural network Optimal operation

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Simulation and Field Testing of Multiple Vehicles Collision Avoidance Algorithms

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IEEE/CAA Journal of Automatica Sinica 2020年第4期7卷 1045-1063页

作者： Chaoyue Zu Chao Yang Jian Wang Wenbin Gao Dongpu Cao Fei-Yue Wang the College of Computer Science and Technology Jilin UniversityChangchun 130012China Jiangsu XCMG Construction Machinery Research Institute Ltd. Xuzhou 221004China the College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of EducationJilin UniversityChangchun 130012 Chongqing Xibu Automobile Proving Ground Management Co.Ltd. Chongqing 404100China the state grid JIBEI electric power company limited Management Training Center China the Advanced Vehicle Engineering Center Cranfield UniversityCranfield MK430ALUK the state Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

A global planning algorithm for intelligent vehicles is designed based on the A* algorithm, which provides intelligent vehicles with a global path towards their destinations. A distributed real-time multiple vehicle collision avoidance(MVCA)algorithm is proposed by extending the reciprocal n-body collision avoidance method. MVCA enables the intelligent vehicles to choose their destinations and control inputs independently,without needing to negotiate with each other or with the coordinator. Compared to the centralized trajectory-planning algorithm, MVCA reduces computation costs and greatly improves the robustness of the system. Because the destination of each intelligent vehicle can be regarded as private, which can be protected by MVCA, at the same time MVCA can provide a real-time trajectory planning for intelligent vehicles. Therefore,MVCA can better improve the safety of intelligent vehicles. The simulation was conducted in MATLAB, including crossroads scene simulation and circular exchange position simulation. The results show that MVCA behaves safely and reliably. The effects of latency and packet loss on MVCA are also statistically investigated through theoretically formulating broadcasting process based on one-dimensional Markov chain. The results uncover that the tolerant delay should not exceed the half of deciding cycle of trajectory planning, and shortening the sending interval could alleviate the negative effects caused by the packet loss to an extent. The cases of short delay(< 100100 ms) and low packet loss(< 5%) can bring little influence to those trajectory planning algorithms that only depend on V2 V to sense the context, but the unpredictable collision may occur if the delay and packet loss are further worsened. The MVCA was also tested by a real intelligent vehicle, the test results prove the operability of MVCA.

关键词： Collision avoidance intelligent vehicles intervehicle communication simulation testing trajectory planning

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