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Research on Parking Path Planing Based on a-star algorithm

Journal of New Media 2023年第1期5卷 55-64页

作者： Zhiliang Deng Dong Wang Nanjing University of Information Science&Technology Nanjing210044China

The issue of finding available parking spaces and mitigating conges-tion during parking is a persistent challenge for numerous car owners in urban *** this paper,we propose a novel method based on the a-star algorithm to calculate the optimal parking path to address this *** integrate a road impedance function into the conventional a-star algorithm to compute path duration and adopt a fusion function composed of path length and duration as the weight matrix for the a-star algorithm to achieve optimal path ***,we conduct simulations using parking lot modeling to validate the effectiveness of our approach,which can provide car drivers with a reliable optimal parking navigation route,reduce their parking costs,and enhance their parking experience.

关键词： a-star algorithm path planning intelligent transportation

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Path Planning Based on A-star and Dynamic Window Approach algorithm for Wild Environment

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Journal of Shanghai Jiaotong university(Science) 2024年第4期29卷 725-736页

作者： DONG Dejin DONG Shiyin ZHANG Lulu CAI Yunze Department of Automation Shanghai Jiao Tong UniversityShanghai200240China Key Laboratory of System Control and Information Processing Ministry of EducationShanghai200240China Shanghai Electro-Mechanical Engineering Institute Shanghai201109China

The path planning problem of complex wild environment with multiple elements still poses *** paper designs an algorithm that integrates global and local planning to apply to the wild environmental path *** modeling process of wild environment map is *** optimization strategies are designed to improve the A-star in overcoming the problems of touching the edge of obstacles,redundant nodes and twisting paths.A new weighted cost function is designed to achieve different planning ***,the improved dynamic window approach(DWA)is designed to avoid local optimality and improve time efficiency compared to traditional *** the necessary path re-planning of wild environment,the improved A-star is integrated with the improved DWA to solve re-planning problem of unknown and moving obstacles in wild environment with multiple *** improved fusion algorithm effectively solves problems and consumes less time,and the simulation results verify the effectiveness of improved algorithms above.

关键词： path planning path re-planning wild environment a-star algorithm dynamic window approach

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GPS probe map matching algorithm based on spatial data model

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Journal of Southeast University(English Edition) 2010年第3期26卷 461-465页

作者：王卫过秀成侯佳东南大学交通学院南京210096

To improve the performance of the traditional map matching algorithms in freeway traffic state monitoring systems using the low logging frequency GPS （global positioning system） probe data, a map matching algorithm based on the Oracle spatial data model is proposed. The algorithm uses the Oracle road network data model to analyze the spatial relationships between massive GPS positioning points and freeway networks, builds an N-shortest path algorithm to find reasonable candidate routes between GPS positioning points efficiently, and uses the fuzzy logic inference system to determine the final matched traveling route. According to the implementation with field data from Los Angeles, the computation speed of the algorithm is about 135 GPS positioning points per second and the accuracy is 98.9%. The results demonstrate the effectiveness and accuracy of the proposed algorithm for mapping massive GPS positioning data onto freeway networks with complex geometric characteristics.

关键词： GPS probe map matching a-star algorithm fuzzy logic Oracle spatial data model

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Cooperative Tactical Planning Method for UAV Formation

Cooperative Tactical Planning Method for UAV Formation

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第三十九届中国控制会议

作者： Zhe Zhang Jian Wu Jiyang Dai Jin Ying Cheng He School of Information Engineering Nanchang Hangkong University School of Reliability and System Engineering Beihang University

This paper addresses a hierarchical structure for the cooperative tactical planning to solve the problem of autonomous control and decision-making of unmanned aerial vehicles（UAVs） in modern air ***,the hierarchical relationship between the operational and tactical levels is discussed according to the offline and online operational planning of UAV,and the iterative optimization scheme of operational objectives is ***,some feasible methods of UAV formation cooperative operation are studied in three-dimensional space,which includes the allocation of combat resources,formation cooperative task allocation,and route *** combined with the a-star algorithm,the cooperative combat experiment of UAV formation is carried out in different threat ***,simulation results verify the effectiveness of the tactical planning method.

关键词： Unmanned combat aerial vehicle hierarchical structure task allocation path planning a-star algorithm

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