Design And Implementation Of Olympic Winter Travel Planning System Based On GIS

As one of the national super-large sports events,the Olympic Winter Games attracts many tourists from home and abroad.However,without centralized information about events and traffic publishing,it is inconvenient for event managers and travelers to plan their travel and search information related to the Olympic Winter Games,and the road sudden abnormal situation occurs from time to time.Failure to take timely emergency measures will cause delays for tourists.Therefore,it’s event managers and travelers that lack an information platform which integrates information searching,travel planning and emergency scheduling.Based on software engineering methodology,intelligent transportation theory and intelligent optimization algorithm,managers for event and travelers are taken as subject investigated in this paper,emergency vehicles allocation and travel planning as the research scene,systematically analyses the needs of large-scale events and processes of emergency and path planning business to solve these problems,and then the prototype system for Olympic Winter travel planning(also called OWTP)is designed and implemented with above theories,whose aim is to provide convenient,reliable and efficient travel and information inquiry services for event managers and travelers.The main design and development contents of this paper are as follows:(1)The emergency vehicles allocation model and the path planning method under the scenarios of Olympic Winter normal travel and emergency scheduling.Shortening the working time of contingency vehicles to requirement point and visiting time of spectators,a path planning method for contingency and normal scenarios and an contingency vehicles allocation model are proposed.In the travel scenario,the study scenario is focused on two: rail transit travel and driving travel.The Dijkstra algorithm is implemented to achieve minimum transfer and minimum total travel time,which puts into the traffic travel planning;the practical of the ant colony optimization in driving route planning can be improved.The algorithm after improved is called AACO.an example shows that the efficiency of the AACO is 23.8% higher than that of the ACO in the case of limited search area,and the probability of ant deadlock is reduced to 7-9%.In the emergency scenario,an emergency vehicle allocation model of single emergency point and demand point is established,which aims at the shortest emergency time and the optimal vehicle allocation.The distribution of optimal parking lot is analyzed first by AACO,and then the backtracking algorithm with pruning is used to solve the model.(2)Design and implementation of a prototype system for OWTP.In the aspect of function design,this paper first analyses the business pain points related to large-scale event,and preliminarily divides the OWTP into basic data management,traffic situation query,emergency resources management and allocation,travel planning and user management based on object-oriented modular partitioning method.In the architecture of OWTP,in order to simplify the implementation process,the OWTP uses the SSM as the back-end framework,Layui.js as a Web framework,Tomcat server as a Web container,My SQL and GDB as relational database and Redis as cache database.In terms of implementation to OWTP,it takes inside the 4th ring road in Beijing as the travel planning area,whose road network data comes from Open Street Map.Arcmap is used to model the city’s main road network stored in GDB,which is published as a map Web server through Arc GIS server.And then the Arc Objects SDK component for secondary development is enabled to implement route analysis using AACO in published map instances.