【摘要】：進(jìn)入21世紀(jì)以來,世界旅游業(yè)迅速發(fā)展,成為經(jīng)濟(jì)增長(zhǎng)的重要支柱。隨著云計(jì)算、物聯(lián)網(wǎng)、GIS等技術(shù)在旅游業(yè)中的深入應(yīng)用,旅游業(yè)經(jīng)歷著一次質(zhì)的飛躍,向旅游服務(wù)人性化、智能化、精細(xì)化方向發(fā)展。隨著對(duì)旅游服務(wù)與安全問題的日益重視,旅游團(tuán)隊(duì)出行過程中發(fā)生的迷路、人員掉隊(duì)、自主游覽等都面臨著成員會(huì)合需求。目前的商業(yè)導(dǎo)航系統(tǒng)提供了基于興趣點(diǎn)(POI)的路徑規(guī)劃與路徑引導(dǎo)服務(wù),但是缺乏基于團(tuán)隊(duì)成員位置的會(huì)合路徑規(guī)劃。一方面,團(tuán)隊(duì)會(huì)合點(diǎn)由于受到成員位置、運(yùn)動(dòng)速度、地物識(shí)別度等因素的影響,導(dǎo)致計(jì)算的復(fù)雜性;另一方面,由于團(tuán)隊(duì)成員在會(huì)合過程中的位置動(dòng)態(tài)變化可能導(dǎo)致會(huì)合點(diǎn)的重新調(diào)整,從而使得這一過程的自動(dòng)實(shí)現(xiàn)變得更為困難。因此,需要綜合考慮景區(qū)地理環(huán)境、旅游團(tuán)隊(duì)構(gòu)成和旅游團(tuán)隊(duì)需求,并進(jìn)行旅游會(huì)合點(diǎn)自動(dòng)選址、會(huì)合路徑規(guī)劃以及動(dòng)態(tài)自適應(yīng)調(diào)整,形成科學(xué)定量的團(tuán)隊(duì)會(huì)合智能決策機(jī)制,避免團(tuán)隊(duì)會(huì)合延誤與超長(zhǎng)等待問題,從而為團(tuán)隊(duì)出行提供智能、快捷和精細(xì)化的會(huì)合決策服務(wù)。針對(duì)這一問題,本文在調(diào)研與分析國(guó)內(nèi)外多目標(biāo)位置服務(wù)、群體出行計(jì)劃等研究的成果基礎(chǔ)上,提出并探討了幾種團(tuán)隊(duì)會(huì)合模式,設(shè)計(jì)了一種基于動(dòng)態(tài)位置的旅游團(tuán)隊(duì)自動(dòng)會(huì)合模型,著重開展了會(huì)合點(diǎn)空間選址和會(huì)合過程的動(dòng)態(tài)調(diào)整兩個(gè)關(guān)鍵環(huán)節(jié)的研究。本文首先分析了會(huì)合目的地空間選址的影響因素,依托團(tuán)隊(duì)分布區(qū)域與道路網(wǎng)拓?fù)潢P(guān)系,利用離散點(diǎn)群空間特征進(jìn)行綜合聚類分析,提出了基于道路網(wǎng)約束的選址候選點(diǎn)篩選方法;然后,分析了單一目標(biāo)的計(jì)算方法并構(gòu)建了多目標(biāo)函數(shù)模型,在此基礎(chǔ)上,構(gòu)建了基于模糊滿意度的選址多目標(biāo)優(yōu)化模型;最后,分析時(shí)間序列和空間位置兩個(gè)層面的動(dòng)態(tài)變化對(duì)團(tuán)隊(duì)會(huì)合多目標(biāo)的影響,針對(duì)會(huì)合偏航,延時(shí)等待等突發(fā)情況提出了基于時(shí)空節(jié)點(diǎn)、規(guī)劃路徑橫向偏航和縱向上速度變化的會(huì)合動(dòng)態(tài)調(diào)整方法。以南京市鐘山風(fēng)景區(qū)為實(shí)驗(yàn)區(qū)域,通過構(gòu)建鐘山風(fēng)景區(qū)結(jié)伴游原型系統(tǒng)對(duì)模型與方法進(jìn)行了一系列實(shí)驗(yàn),根據(jù)對(duì)實(shí)驗(yàn)結(jié)果的分析對(duì)比,驗(yàn)證了會(huì)合模型方法的合理性。該模型在團(tuán)隊(duì)會(huì)合目的地空間選址決策上,可以滿足團(tuán)隊(duì)成員會(huì)合路徑最優(yōu)、會(huì)合時(shí)間最省、同步會(huì)合最快等需求,為團(tuán)隊(duì)群體旅游會(huì)合提供了科學(xué)合理的會(huì)合點(diǎn)空間選址與過程動(dòng)態(tài)調(diào)整方案。
[Abstract]:Since entering the 21 st century, the world tourism industry has developed rapidly and become an important pillar of economic growth. With the application of cloud computing, Internet of things GIS and other technologies in the tourism industry, the tourism industry is experiencing a qualitative leap to the direction of humanization, intelligence and refinement of tourism services. With the increasing attention to the tourism services and security problems, the travel team travel process occurred lost, personnel left behind, independent tours and so on are faced with the need to meet the members. Current commercial navigation systems provide path planning and path guidance services based on (POI), but lack of rendezvous path planning based on team member position. On the one hand, the group rendezvous points are affected by the position of the members, the speed of movement, the recognition of objects, and so on, which lead to the complexity of the calculation; on the other hand, The dynamic change of the position of the team members during rendezvous may lead to the readjustment of the rendezvous point, which makes the automatic realization of the process more difficult. Therefore, it is necessary to take into account the geographical environment, the composition of tourism team and the needs of tourism team, and carry out the automatic location of tourism rendezvous point, rendezvous path planning and dynamic adaptive adjustment, so as to form a scientific and quantitative intelligent decision-making mechanism of group rendezvous. Avoid the problem of group meeting delay and long wait, so as to provide intelligent, fast and refined rendezvous decision service for team travel. Aiming at this problem, based on the investigation and analysis of the research results of multi-objective location service and group travel planning at home and abroad, this paper puts forward and discusses several kinds of group rendezvous modes. This paper designs an automatic meeting model of tourism team based on dynamic location, and focuses on the research on the location of rendezvous point space and the dynamic adjustment of rendezvous process. This paper first analyzes the influence factors of rendezvous destination spatial location, relying on the topological relationship between team distribution region and road network, using the spatial characteristics of discrete point groups to carry out comprehensive clustering analysis. Then, the single objective method is analyzed and the multi-objective function model is constructed. Based on this, the multi-objective optimization model based on fuzzy satisfaction degree is constructed. Finally, the influence of dynamic changes of time series and spatial position on the multi-targets of team rendezvous is analyzed, and a spatial-temporal node is proposed for meeting yaw, delay waiting and other emergencies. Rendezvous dynamic adjustment method for planning path lateral yaw and longitudinal velocity variation. Taking Zhong Shan Scenic spot in Nanjing as the experimental area, a series of experiments were carried out on the model and the method by constructing a prototype system of Zhong Shan Scenic spot. According to the analysis and comparison of the experimental results, the rationality of the rendezvous model was verified. The model can meet the needs of optimal rendezvous path, minimum rendezvous time, fastest synchronous rendezvous and so on, in the location decision of team rendezvous destination space. It provides a scientific and reasonable scheme for group tourism rendezvous.
【學(xué)位授予單位】：南京師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：F592.7;TP399-C2

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