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Research On Traffic Infrastructure Planning Method Based On UAV Oblique Photography

Posted on:2020-01-24Degree:MasterType:Thesis
Country:ChinaCandidate:C DaiFull Text:PDF
GTID:2392330578952453Subject:Urban and rural planning
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With the rapid development of the national economy,the demand for transportation is increasing,the construction of transportation infrastructure is getting faster and faster,and the impact on urban and rural planning and development is growing.There is a complex interaction between urban and rural space and transportation.However,in practice,transportation planning,which is a special plan for urban and rural planning,lacks access to and utilization of spatial information,and often does not cooperate with urban and rural development.As an important transportation infrastructure that drives rural development,rural roads have many characteristics,such as many points,wide areas,large quantities and scattered distribution.Some areas are in areas with complex natural conditions and frequent geological disasters,which leads to huge potential demand for basic space information in rural road planning.However,the traditional spatial information acquisition technology is difficult to adapt to the characteristics of rural roads.The lack of spatial information has led to the lack of coordination between rural roads planning methods and urban and rural development,and the difficulty of meeting the needs of urban and rural users.How to solve these problems at the technical method level,establish an efficient and feasible spatial information acquisition and application method system,strengthen the coordination of transportation planning and urban and rural development,and improve the scientific and sustainable rural road planning.These issues have important research implications.This study uses literature analysis,systematic analysis and empirical research.Taking rural roads as an example,the paper analyzes the relationship among urban and rural planning,transportation planning and spatial information technology theory,and studies the real-life three-dimensional information acquisition technology space based on UAV oblique photography and 3D geographic information technology,explore its application to improve existing rural road planning techniques,and try to provide a set of planning methods based on new spatial information for rural roads.Firstly,through the comprehensive analysis and research of existing literature and theory,combined with the transportation infrastructure planning and village planning theory,rural road planning theory,planning spatial information theory and collaborative planning theory,the theoretical system of rural road planning is deeply explored.The technical defects and deficiencies under the current theoretical system is analyzedSecondly,it analyzes and studies the rural road planning technology,the UAV tilt photography technology and the real-life three-dimensional spatial information technology,and lays the foundation for the acquisition of real-life three-dimensional spatial information and industrial application.Thirdly,combined with the above theory and technical system,determine the relevant principles and objectives,and integrate the technical methods of UAV oblique photography and spatial information application technology,real-life three-dimensional spatial information technology and rural road planning technology from the perspective of industry,and construct a complete rural road planning method system based on UAV oblique photography,and provide relevant support for the method system.Then,the method is applied in Zhangjiakou and Xiamen actual cases to conduct an empirical study on rural road planning methods based on UAV oblique photography.Finally,the related theories,techniques and methodologies are summarized,and the follow-up questions that cannot be solved temporarily in this study are briefly summarized,and the future rural roads and other transportation infrastructure planning work are prospected.
Keywords/Search Tags:Oblique Photography, Spatial Information, Rural Roads, Transportation Infrastructure, Planning Collaboration
PDF Full Text Request
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