The problem of matching measured flight position points to air routes is definitely important to improve data processing tools that can assist air traffic controllers in analyzing operational situations and making control decisions. This paper proposes a simple map matching algorithm that uses a hidden Markov model (HMM) to find the most likely flight path according to the flight trajectory. The algorithm is tested on real data collected from air traffic control systems. In addition, the correct matching percentage of different sampling-rate data is tested. The HMM works efficiently on conditions where a data preprocessing method is utilized and matches with an error less than 1%.
A Simple Aerial Map Matching Algorithm Based on Hidden Markov
17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China
CICTP 2017 ; 982-990
2018-01-18
Conference paper
Electronic Resource
English
Map-Matching Algorithm Based on Hidden Markov and Constraint Value Pruning
Transportation Research Record | 2024
|A Hidden Markov Model-Based Map-Matching Algorithm for Wheelchair Navigation
Online Contents | 2009
|An Online Map Matching Algorithm Based on Second-Order Hidden Markov Model
DOAJ | 2021
|Urban GPS road network matching method based on hidden Markov model
European Patent Office | 2023
|