Research On The Model Of Tourism Team Members Meet Based On Dynamic Position

Since the 21st Century,the world tourism had developed rapidly and become the important pillar of the economic growth.With the deepening application of cloud computing,Internet of things,GIS in the tourism industry,the tourism industry experience with a qualitative leap and toward the development of humanity,intelligent and precise.Along with the increasingly attention to the problems of tourism services and security,the process of travel team's tourism occurred lost,people left behind,independent tour members and so on,they all face to travelers'meeting demand.The current commercial navigation system provides path guide service and path planning based on the point of interest(POI).However,it is lack of path planning based on the location of the team members.On the one hand,because of the influence of member positions,velocity,object recognition and so on,the searching of team rendezvous point becomes complexity;On the other hand,due to the dynamic change in the process of meeting by team members,the meeting point is readjust all the time,it makes the process become more difficult.Therefore,the consideration of scenic area,team structure and team demand is necessary.Making tourism meeting-point automatic locate,rendezvous path planning and dynamic adaptive adjustment,to join the team of scientific quantitative intelligent decision-making mechanism and to avoid team rendezvous delay and waiting for long.All these will provide intelligent,fast and detailed rendezvous decision service.To solve this problem,this paper studied and analyzed the research results in the fields of multi-destination services,group team planning and so on.This paper proposed and discussed several team rendezvous models and at the same time,designed a dynamic location-based travel team rendezvous model.This paper focused the research on two key areas,they are space rendezvous site and dynamic adjusting in the rendezvous process.Firstly,this paper analyzed the influencing factors of space rendezvous destination location,relying on the regional distribution of team and road network topology and used discrete spatial features comprehensive point cloud to make clustering analysis.This paper proposed location method for screening candidate point based countable points and then analyzed calculation methods and build a single target multi-objective model.On this basis,to build a multi-objective optimization site selection model based on fuzzy Satisfaction.Lastly,the paper analyzed the time series and space two level of dynamic change to the team to meet the influence of multiple objective,rendezvous for yaw,establish a set of dynamic convergence adjusting method based on temporal,vertical and horizontal path planning abnormal changes.Finally,this paper chose the Nanjing ZhongShan scenic area as the experimental area.A series of experiments are conducted by using models and methods in this paper made through building ZhongShan Scenic Area Travel Together Prototype System.The comparative analysis of the experimental results implied the rationality of rendezvous model.This model could meet team member's needs of team members such as optimal path planning,less meeting time and minimum waiting time,and also provided scientific and rational point of confluence space siting process and dynamic adjustment programs for team trip.