Research On The Key Technologies Of Vehicle Navigation System On The Airport Surface

With the development of the economy,the bottleneck restricting air traffic management has gradually shifted from the route to the airport,and the congestion on the airport surface is the main factor affecting the available capacity of the air transport system.At present,map applications such as Gaode and Baidu maps,which are commonly used in China,do not have navigation functions for the airport flight area.This brings great inconvenience to the navigation of special vehicles on the airport surface.Therefore,the research of the vehicle navigation system on the airport surface has important meaning and engineering values.The purpose of the thesis is to develop a vehicle navigation system for the aircraft Follow Me car and capable of navigating on the airport surface.Considering the portability of the system and the universality of the current Android system,it is proposed to develop the navigation system on the Android platform.With this system,users can quickly obtain the route and voice navigation from the airport runway to the destination parking space.The main research contents of the thesis include:(1)The road topology network of the airport taxiway is modeled by graph theory and stored by the adjacency list.The latitude and longitude information of the road node of the airport area is obtained for the navigation icon,and is stored by the SQLite database.In order to facilitate users to use without network,this article will design the offline map and online map.(2)Using Dijkstra classical algorithm for path planning,combined with the taxiing characteristics of the airport,the algorithm is optimized to realize the optimal sliding path planning.The direction of the turning is determined by the clockwise angle between the vectors represented by the road segments,and driving commands are generated.The sound-making rules of voice navigation are designed to realize the voice guidance function.A hidden Markov model is established for the airport taxiway.The Viterbi algorithm is used to solve the most likely path of the vehicle.The planned path is compared with the path solved by the HMM to realize the path matching function.(3)Develop the navigation system designed in this article on the Android development platform.Finally,the designed navigation system is functionally tested through the designed test cases.The tests all achieve the expected results,and the vehicle navigation system meets all the requirements.