TY - GEN
T1 - Intelligent Classification Method of Digital Twin Airport Hazard Based on ID3 Algorithm
AU - Guan, Mingjie
AU - Liu, Jia
AU - Zhang, Jianshe
AU - Chen, Weishi
N1 - Publisher Copyright:
©2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In order to enhance airport hazard management and enable intelligent decision-making in digital twin environments, this paper proposes an intelligent hazard classification method based on the ID3 algorithm. The method utilizes a 6-dimensional hazard feature model generated by combining "human-machine-environment-management" factors with hazard sources and types. It trains an ID3 decision tree using a subset of samples as the training set and evaluates the decision accuracy using the remaining samples as the testing set. The effectiveness of the proposed hazard classification model is demonstrated through a case study using an airport hazard database, showcasing high classification accuracy and the ability to refine and optimize the model using historical data. This method provides decision support for hazard classification management in digital twin airports.
AB - In order to enhance airport hazard management and enable intelligent decision-making in digital twin environments, this paper proposes an intelligent hazard classification method based on the ID3 algorithm. The method utilizes a 6-dimensional hazard feature model generated by combining "human-machine-environment-management" factors with hazard sources and types. It trains an ID3 decision tree using a subset of samples as the training set and evaluates the decision accuracy using the remaining samples as the testing set. The effectiveness of the proposed hazard classification model is demonstrated through a case study using an airport hazard database, showcasing high classification accuracy and the ability to refine and optimize the model using historical data. This method provides decision support for hazard classification management in digital twin airports.
KW - Airport hazard management
KW - ID3 algorithm
KW - data testing
KW - decision support system
KW - digital twin airports
KW - hazard classification management
KW - hazard feature model
KW - historical data accumulation
KW - intelligent decision-making
KW - model training
UR - https://www.scopus.com/pages/publications/85191003425
U2 - 10.1109/IMSE61332.2023.00013
DO - 10.1109/IMSE61332.2023.00013
M3 - 会议稿件
AN - SCOPUS:85191003425
T3 - Proceedings - 2023 International Conference on Intelligent Management and Software Engineering, IMSE 2023
SP - 34
EP - 39
BT - Proceedings - 2023 International Conference on Intelligent Management and Software Engineering, IMSE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Intelligent Management and Software Engineering, IMSE 2023
Y2 - 8 September 2023 through 10 September 2023
ER -