本文選題：旅游路線 + 導(dǎo)航數(shù)據(jù)標(biāo)準(zhǔn)��； 參考：《復(fù)旦大學(xué)》2014年碩士論文

【摘要】：隨著生活水平的不斷改善,汽車進(jìn)入越來(lái)越多的家庭。為了提高生活質(zhì)量,很多休閑、旅游、戶外探險(xiǎn)活動(dòng)也越來(lái)越受人們所青睞。一個(gè)娛樂(lè)車旅游導(dǎo)航系統(tǒng)將為旅游駕駛員提供貼心的導(dǎo)航服務(wù)。同時(shí)NDS作為當(dāng)前前沿的導(dǎo)航數(shù)據(jù)標(biāo)準(zhǔn),開發(fā)一套基于NDS旅游導(dǎo)航引擎,需求十分迫切。本論文對(duì)NDS旅游導(dǎo)航引擎設(shè)計(jì)的問(wèn)題可以歸結(jié)為兩個(gè)核心子特征-路徑計(jì)算和路徑引導(dǎo)。本論文將聚焦于系統(tǒng)分析和設(shè)計(jì),尤其重點(diǎn)是詳細(xì)的設(shè)計(jì)。路徑規(guī)劃,基于導(dǎo)航電子地圖道路網(wǎng)絡(luò)數(shù)據(jù)從車輛的當(dāng)前位置到旅游目的地,規(guī)劃計(jì)算出一條最佳路徑。本文提出了面向駕駛體驗(yàn)的規(guī)劃算法,該算法技術(shù)主要包括：基于NDS分層道網(wǎng)搜索,使之適應(yīng)新的導(dǎo)航數(shù)據(jù)標(biāo)準(zhǔn)減少搜索規(guī)模；采用雙向A*啟發(fā)式知識(shí)減少盲目搜索；提出了基于交叉路口通行的代價(jià)模型,改善路徑規(guī)劃的駕駛體驗(yàn)。路徑引導(dǎo),旨在通過(guò)即時(shí)引導(dǎo)信息和指令,引導(dǎo)駕駛員沿著路線安全、舒適的到達(dá)目的地。問(wèn)題的核心是引導(dǎo)信息的生成模型。傳統(tǒng)意義上,"turn-by-turn"的模型沒(méi)有提供覆蓋引導(dǎo)各階段的信息的統(tǒng)一模型。本論文通過(guò)應(yīng)用一系列的設(shè)計(jì)模式,提出了一種改進(jìn)的引導(dǎo)模型：PaP-TBT。本論文還引入了新一代引擎的體系結(jié)構(gòu)和質(zhì)量改進(jìn)的方法的方案。包括性能、可擴(kuò)展性、可靠性較高。上述解決方案已經(jīng)在移動(dòng)嵌入式ANDROID系統(tǒng)平臺(tái)中得到驗(yàn)證。類似高德導(dǎo)航AutoNavi軟件,可以方便地進(jìn)行旅游路線規(guī)劃和路徑引導(dǎo)。
[Abstract]:With the continuous improvement of living standards, cars enter more and more families. In order to improve the quality of life, many leisure, tourism, outdoor adventure activities are more and more popular. An entertainment vehicle travel navigation system will provide intimate navigation services for tour drivers. At the same time, NDS is the leading navigation data standard. It is urgent to develop a set of NDS based tourism navigation engine. In this paper, the design of NDS tourism navigation engine can be summed up as two core sub-features-path calculation and path guidance. This paper will focus on system analysis and design, with particular emphasis on detailed design. Path planning, based on the navigation electronic map road network data from the current position of the vehicle to the tourist destination, planning to calculate an optimal path. In this paper, a driving experience-oriented planning algorithm is proposed. The main techniques of this algorithm are as follows: to adapt to the new navigation data standard, to reduce the search scale, to reduce blind search by using bidirectional A * heuristic knowledge, and to reduce blind search based on NDS hierarchical network search. Based on the cost model of intersection, the driving experience of route planning is improved. Route guidance, designed to guide drivers along the route safely and comfortably to their destination through instant guidance information and instructions. The core of the problem is the generating model of leading information. Traditionally, the "turn-by-turn" model does not provide a unified model that covers all stages of guidance. By applying a series of design patterns, this paper proposes an improved guidance model: PaP-TBT. This paper also introduces the architecture of the new generation engine and the method of quality improvement. Including performance, scalability, high reliability. The above solutions have been verified in the mobile embedded ANDROID system platform. Similar to AutoNavi software, it is easy to plan and guide travel routes.
【學(xué)位授予單位】：復(fù)旦大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U463.67;U495

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本文編號(hào)：2010380