Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (9): 2522-2533.doi: 10.23940/ijpe.19.09.p26.25222533

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Modeling of ATC Operation Process based on Extended Colored Petri Net

Jiuxia Guoa,b,*, Shuzhi Sam Gea, Xinping Zhub, and Fangfang Zhaoa   

  1. aSchool of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China;
    bCollege of Air Traffic Management, Civil Aviation Flight University of China, Guanghan, 618307, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: *. Jiuxia Guo received her M.S. degree in traffic information engineering and control from Civil Aviation University of China, in 2009. She is currently an associate professor in the Department of Air Traffic Management at the Civil Aviation Flight University of China. She is also pursuing a Ph.D. in the School of Computer Science and Engineering and Center for Robotics at the University of Electronic Science and Technology of China. Her research interests include complex system theory, resilience engineering, and machine learning. E-mail address: didiyes@163.com
  • About author:Shuzhi Sam Ge received his B.S. degree in automation control from Beijing University of Aeronautics and Astronautics, in 1986 and his Ph.D. in mechanical engineering and electrical engineering from the Imperial College London in 1993. He is the director of the Social Robotics Laboratory of Interactive Digital Media Institute in Singapore and the Centre for Robotics in Chengdu, China. He is a professor in the Department of Electrical and Computer Engineering at the National University of Singapore. He has co-authored four books and over 300 international journal and conference papers. His current research interests include social robotics, adaptive control, intelligent systems, and artificial intelligence. Xinping Zhu received his M.S. degree and Ph.D. in air transportation management from Nanjing University of Aeronautics and Astronautics in 2008 and 2013, respectively. He is currently an associate professor in the Department of Air Traffic Management at the Civil Aviation Flight University of China. His research interests include air traffic management concept evaluation, airport surface control, discrete event systems modeling and control, and PNs. His research has led to a number of papers in journals and international conference proceedings. Fangfang Zhao is a Ph.D. candidate in the School of Computer Science and Engineering and Center for Robotics at the University of Electronic Science and Technology of China. Her research interests include adaptive filter technology, information fusion, and autonomous navigation.

Abstract: As a highly complex social and technological system, the air traffic management (ATM) system of next generation (NextGen) has many new technologies. With more and more changing roles of human beings (such as pilots and controllers) in the ATM system, new potential hazards may emerge. This paper proposes a new safety analysis method using coloured Petri nets (CPN), which alleviates the unsafe interactions between non-fault components. From the control operation point of view, there are some fixed aerodrome control operation units, which can be divided into two typical modules: Tower control position module and General control position module. According to the basic net model, we present a modelling method based on extended colored Petri net (ECPN) to simulate the air traffic control (ATC) operation process. The focus in this paper is on the constructs of the ATC operation process, including the development of a fine model and substitution rule. The model development is supported by a set of model constructs, which represent key aspects of the ATC operation process. The top-level network model of the ATC operation process using the cognitive work analysis (CWA) method is built. The approach is presented for the multi-runway airport control operation process and describes in detail the Petri net model of the tower control process. Finally, we simulate the tower control process by CPN Tools. The availability of the ATC operation control models are verified by generating the full state space and state space report.

Key words: air traffic management system, safety analysis, operation control modelling, cognitive work analysis, extended coloured Petri net, model simulation, state space