基于综合导航网格的智慧旅游动态寻径方法

发布时间：2018-04-25 20:56

本文选题：智慧旅游 + 综合导航网格　；参考：《西南交通大学》2017年硕士论文

【摘要】：游客体验的提升离不开景区基础数据的应用。目前单一基于道路网的导航方式未能将复杂环境中动态变化的多维环境因素以及游客个性化的需求整合到寻径约束中,路径规划结果实用性不足,难以满足游客精准化导航寻径的需求。大众旅游时代,游客的随意性和灵活性大大增加,为支持陌生景区中向游客提供智慧导航与导游,本文提出全新的实时景区多维动态环境信息场模型,并综合将景区环境信息和游客偏好量化为综合导航网格的通行代价,通过景区多维动态网格数据的动态调整准确表达复杂景区环境,从而实现最优路径的个性化定制。本文研究内容如下:1.提出研究背景和研究意义,总结国内外景区导航以及基于导航网格寻径算法研究现状,介绍本文的研究内容与组织结构;2.介绍智慧旅游位置与导航服务相关理论与技术,对比不同类型的导航网格与寻径算法,为后续选取综合导航网格的剖分方法以及求解算法的选取提供理论支持;3.针对复杂景区环境中游客的个性化导航与导游需求,构建实时景区多维动态环境信息场模型,并对面向游客的景区导航语义进行分类和描述;4.介绍基于景区多尺度混合模式路径规划的四边形网格剖分方法,利用此方法构建景区综合导航网格,通过计算综合导航网格通行代价量化多维动态环境因素,在此基础上利用A*算法计算进行最优路径求解,顾及多维动态环境因素的景区最优路径动态优化方法得以实现。为验证本文方法的有效性和可行性,本文实验选取都江堰景区,对比景区推荐路径以及综合导航网格路径规划效率以及结果。通过实验,本文方法能有效支持实时环境感知并适应游客偏好的动态路径规划,有助于为游客提供动态的、智能化、精准化、一体化的智慧旅游位置信息服务。
[Abstract]:The promotion of tourist experience can not be separated from the application of basic data in the scenic area. At present, the single road network based navigation method can not integrate the dynamic changes in the complex environment and the individualized demand of tourists into the path finding constraints. The practicability of the path planning results is insufficient, and it is difficult to meet the needs of the tourists' precision navigation. In the times of public tourism, the tourists' randomness and flexibility are greatly increased. In order to provide intelligent navigation and guide for tourists in the unfamiliar scenic spots, this paper proposes a new real-time scenic multi dimensional dynamic environmental information field model, and quantifies the scenic environmental information and tourist preferences into the traffic cost of the integrated navigation grid, and through the multi-dimensional dynamics of the scenic spots. The dynamic adjustment of the grid data can accurately express the complex scenic environment and realize the personalized customization of the optimal path. The contents of this paper are as follows: 1. the background and significance of the research are presented. The research status of scenic navigation and navigation grid algorithm based on navigation grid is summarized, and the research content and organization structure of this paper are introduced; and 2. introduce the wisdom brigade. The theory and technology of navigation and navigation services are used to compare the different types of navigation grid and path finding algorithm, and provide theoretical support for the subsequent selection of the subdivision method and the selection of the algorithm. 3. in view of the personalized navigation and travel requirements of tourists in the environment of complex scenic spots, a multi-dimensional dynamic environmental letter is built in real time scenic spots. The interest field model and the navigation semantics of tourist attractions are classified and described. 4. the quadrangle mesh generation method based on the multi scale mixed mode path planning of scenic spots is introduced. This method is used to construct the comprehensive navigation grid of scenic spots, and the multidimensional dynamic environmental factors are quantified by calculating the traffic cost of integrated navigation grid. On this basis, the A is used to make use of the multi-dimensional dynamic environment factors. In order to verify the effectiveness and feasibility of this method, this paper selects the Dujiangyan scenic spot, compares the scenic spot recommendation path and the integrated navigation grid path planning efficiency and results. The method can effectively support the dynamic path planning of the real-time environment perception and adapt to the tourists' preference, and help to provide the dynamic, intelligent, accurate and integrated intelligent tourism location information service for the tourists.

【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F592

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