TY - JOUR
T1 - VFDP
T2 - Visual Analysis of Flight Delay and Propagation on a Geographical Map
AU - Chen, Chen
AU - Li, Chenhui
AU - Chen, Junjie
AU - Wang, Changbo
N1 - Publisher Copyright:
© 2000-2011 IEEE.
PY - 2022/4/1
Y1 - 2022/4/1
N2 - The propagation of flight delays is challenging to analyze because delay events depend on multiple variables. This phenomenon has become even worse with the increasing number of aircraft in China, and research into delay propagation has shown limited progress. In this paper, we design a visual analysis system for flight delay propagation. Unlike conventional flight delay research, this work focuses on the flight delay propagation trends in one region and representing the relationship of delays occurring in multiple airports. First, we construct a Bayesian network to analyze the delay parameters and select delay factors for visualization. Second, the system employs a series of visualization methods to present the propagation of flight delays, including density and flow visualizations. Third, the system combines multiple available visual representations for analyzing flight delays from different aspects. We demonstrate our methods with real data in multiple types of cases, and we evaluate our visual design through user studies. The results help identify several benefits of our system and confirm its usefulness for delay propagation analysis.
AB - The propagation of flight delays is challenging to analyze because delay events depend on multiple variables. This phenomenon has become even worse with the increasing number of aircraft in China, and research into delay propagation has shown limited progress. In this paper, we design a visual analysis system for flight delay propagation. Unlike conventional flight delay research, this work focuses on the flight delay propagation trends in one region and representing the relationship of delays occurring in multiple airports. First, we construct a Bayesian network to analyze the delay parameters and select delay factors for visualization. Second, the system employs a series of visualization methods to present the propagation of flight delays, including density and flow visualizations. Third, the system combines multiple available visual representations for analyzing flight delays from different aspects. We demonstrate our methods with real data in multiple types of cases, and we evaluate our visual design through user studies. The results help identify several benefits of our system and confirm its usefulness for delay propagation analysis.
KW - Flight delay propagation
KW - delay propagation analysis
KW - density visualization
UR - https://www.scopus.com/pages/publications/85097957511
U2 - 10.1109/TITS.2020.3037191
DO - 10.1109/TITS.2020.3037191
M3 - 文章
AN - SCOPUS:85097957511
SN - 1524-9050
VL - 23
SP - 3510
EP - 3521
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 4
ER -