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Design And Implementation Of Smart Tourism System

Posted on:2018-02-11Degree:MasterType:Thesis
Country:ChinaCandidate:J M ChenFull Text:PDF
GTID:2348330536479771Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
Thanks to the development of social economy,more and more people choose to go on holiday and enjoy their lives,and most of them are younger people.Nowadays,lots of tourist services are from institutions,such as travel agencies and traditional tourism enterprises.Route and time allocation of these products are planned by the travel agencies in advance,users have no autonomy.So these products can’t fully meet the individualization requirements of younger age groups.If users customized travel itinerary through the existing platforms,a large number of information comparison and selection will greatly consume the time and efforts of them.Design of the tourism line will become a large problem.In view of the above descriptions,constituting an efficient travel itinerary can not only make users enjoy their entire tourism process,but also help them reduce the time and economic costs.Firstly,this paper analyzes the market status and user demands.On the basis of demand analysis,this paper completes the design based on the whole architecture and the local function module,to realize the main functions of the system,including the basic tourism information query(hotels,attractions,transportations,entertainments),travel planning,interactive communication,intelligent recommendation and other travel services.With the help of the ER diagram,this paper completes the design of database table.This paper builds a mathematical model of travel planning based on user demands,and studies the TSP with time and cost constraints.Then,this paper proposes an improved genetic algorithm and makes definition of objective function in terms of time and cost dimensions.By proposing the two-way greedy strategy to initialize the population,and adopting adaptive crossover and mutation probability to accelerate the genetic speed and avoid prematurity.Finally,this paper develops the application software with Xcode7.1 on the iMac platform.The improved genetic algorithm is applied to the system software to realize the function of the system.With test cases,this paper completes the test of the software application.According to the test results,the system is stable and full featured.
Keywords/Search Tags:Travelling Planning, Genetic Algorithm, iOS System, Online Travelling
PDF Full Text Request
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