本文選題：智慧旅游 + 綜合導航網格��； 參考：《西南交通大學》2017年碩士論文

【摘要】：游客體驗的提升離不開景區(qū)基礎數(shù)據(jù)的應用。目前單一基于道路網的導航方式未能將復雜環(huán)境中動態(tài)變化的多維環(huán)境因素以及游客個性化的需求整合到尋徑約束中,路徑規(guī)劃結果實用性不足,難以滿足游客精準化導航尋徑的需求。大眾旅游時代,游客的隨意性和靈活性大大增加,為支持陌生景區(qū)中向游客提供智慧導航與導游,本文提出全新的實時景區(qū)多維動態(tài)環(huán)境信息場模型,并綜合將景區(qū)環(huán)境信息和游客偏好量化為綜合導航網格的通行代價,通過景區(qū)多維動態(tài)網格數(shù)據(jù)的動態(tài)調整準確表達復雜景區(qū)環(huán)境,從而實現(xiàn)最優(yōu)路徑的個性化定制。本文研究內容如下:1.提出研究背景和研究意義,總結國內外景區(qū)導航以及基于導航網格尋徑算法研究現(xiàn)狀,介紹本文的研究內容與組織結構;2.介紹智慧旅游位置與導航服務相關理論與技術,對比不同類型的導航網格與尋徑算法,為后續(xù)選取綜合導航網格的剖分方法以及求解算法的選取提供理論支持;3.針對復雜景區(qū)環(huán)境中游客的個性化導航與導游需求,構建實時景區(qū)多維動態(tài)環(huán)境信息場模型,并對面向游客的景區(qū)導航語義進行分類和描述;4.介紹基于景區(qū)多尺度混合模式路徑規(guī)劃的四邊形網格剖分方法,利用此方法構建景區(qū)綜合導航網格,通過計算綜合導航網格通行代價量化多維動態(tài)環(huán)境因素,在此基礎上利用A*算法計算進行最優(yōu)路徑求解,顧及多維動態(tài)環(huán)境因素的景區(qū)最優(yōu)路徑動態(tài)優(yōu)化方法得以實現(xiàn)。為驗證本文方法的有效性和可行性,本文實驗選取都江堰景區(qū),對比景區(qū)推薦路徑以及綜合導航網格路徑規(guī)劃效率以及結果。通過實驗,本文方法能有效支持實時環(huán)境感知并適應游客偏好的動態(tài)路徑規(guī)劃,有助于為游客提供動態(tài)的、智能化、精準化、一體化的智慧旅游位置信息服務。
[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.

【學位授予單位】：西南交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F592

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