基于动态位置的旅游团队成员会合模型研究

发布时间：2018-09-17 09:51

【摘要】：进入21世纪以来,世界旅游业迅速发展,成为经济增长的重要支柱。随着云计算、物联网、GIS等技术在旅游业中的深入应用,旅游业经历着一次质的飞跃,向旅游服务人性化、智能化、精细化方向发展。随着对旅游服务与安全问题的日益重视,旅游团队出行过程中发生的迷路、人员掉队、自主游览等都面临着成员会合需求。目前的商业导航系统提供了基于兴趣点(POI)的路径规划与路径引导服务,但是缺乏基于团队成员位置的会合路径规划。一方面,团队会合点由于受到成员位置、运动速度、地物识别度等因素的影响,导致计算的复杂性;另一方面,由于团队成员在会合过程中的位置动态变化可能导致会合点的重新调整,从而使得这一过程的自动实现变得更为困难。因此,需要综合考虑景区地理环境、旅游团队构成和旅游团队需求,并进行旅游会合点自动选址、会合路径规划以及动态自适应调整,形成科学定量的团队会合智能决策机制,避免团队会合延误与超长等待问题,从而为团队出行提供智能、快捷和精细化的会合决策服务。针对这一问题,本文在调研与分析国内外多目标位置服务、群体出行计划等研究的成果基础上,提出并探讨了几种团队会合模式,设计了一种基于动态位置的旅游团队自动会合模型,着重开展了会合点空间选址和会合过程的动态调整两个关键环节的研究。本文首先分析了会合目的地空间选址的影响因素,依托团队分布区域与道路网拓扑关系,利用离散点群空间特征进行综合聚类分析,提出了基于道路网约束的选址候选点筛选方法;然后,分析了单一目标的计算方法并构建了多目标函数模型,在此基础上,构建了基于模糊满意度的选址多目标优化模型;最后,分析时间序列和空间位置两个层面的动态变化对团队会合多目标的影响,针对会合偏航,延时等待等突发情况提出了基于时空节点、规划路径横向偏航和纵向上速度变化的会合动态调整方法。以南京市钟山风景区为实验区域,通过构建钟山风景区结伴游原型系统对模型与方法进行了一系列实验,根据对实验结果的分析对比,验证了会合模型方法的合理性。该模型在团队会合目的地空间选址决策上,可以满足团队成员会合路径最优、会合时间最省、同步会合最快等需求,为团队群体旅游会合提供了科学合理的会合点空间选址与过程动态调整方案。
[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.
【学位授予单位】：南京师范大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F592.7;TP399-C2

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