Analysis of Air Traffic Flow Control through Agent-Based Modeling and Simulation

被引:4
|
作者
Wang Chao [1 ]
Ge Jing [2 ]
Xu Xiaohao [2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Civil Aviat Coll, Nanjing 210016, Peoples R China
[2] Civil Aviat Univ China, Air Traff Management Coll, Tianjin, Peoples R China
关键词
agent; modeling; simulation; air traffic flow control; throughput; congestion; delay;
D O I
10.1109/ICCMS.2009.38
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Agent-based modeling and simulation of complex system provides new methods for system's analysis, control and decision-making. This paper presents a modeling and simulation method of air traffic flow, constructs computer models of Flight Agent and Control Agent, and discusses the performance evaluation parameters of air traffic control system. Furthermore, a computer prototype system has been developed about the simulation of air traffic flow operating in a control sector. According to the results of simulation, this paper analyzes the effectiveness of control decision-making and reveals the emergent phenomena of air traffic operation such as congestion and flight delays.
引用
收藏
页码:286 / +
页数:2
相关论文
共 50 条
  • [1] MODELING OF AIR TRAFFIC ARRIVAL OPERATIONS THROUGH AGENT-BASED SIMULATION
    Shresta, Sanjiv
    Mayer, Ralf H.
    2008 WINTER SIMULATION CONFERENCE, VOLS 1-5, 2008, : 2673 - 2681
  • [2] Modeling Agent-Based Traffic Simulation Properties in Alloy
    Araujo, F.
    Valente, J.
    Wenkstern, R. Z.
    AGENT-DIRECTED SIMULATION SYMPOSIUM 2012 (ADS 2012), 2012, 44 (01): : 52 - 59
  • [3] Modeling bicycle traffic in an agent-based transport simulation
    Ziemke, Dominik
    Metzler, Simon
    Nagel, Kai
    8TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2017) AND THE 7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT 2017), 2017, 109 : 923 - 928
  • [4] Mesoscopic Traffic Flow Model for Agent-Based Simulation
    de Souza, Felipe
    Verbas, Omer
    Auld, Joshua
    10TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2019) / THE 2ND INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40 2019) / AFFILIATED WORKSHOPS, 2019, 151 : 858 - 863
  • [5] Agent-based air traffic control in airport airspace
    Gorodetsky, Vladimir
    Karsaev, Oleg
    Kupin, Vladimir
    Samoilov, Vladimir
    PROCEEDINGS OF THE IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY (IAT 2007), 2007, : 81 - 84
  • [6] Development of Agent-based Air Traffic Control Logic For Airport Airside Simulation Model
    Had, Petr
    Mihalova, Petra
    Stojic, Slobodan
    Volt, Jiri
    Kuklova, Jana
    NEW TRENDS IN CIVIL AVIATION, NTCA 2024, 2024, : 287 - 293
  • [7] Traffic light control through agent-based coordination
    Dominguez Sanchez, Jesus Hector
    Aguirre, Jose Luis
    PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS, 2007, : 145 - +
  • [8] An Agent-Based Simulation Modeling with Deep Reinforcement Learning for Smart Traffic Signal Control
    Jang, Ingook
    Kim, Donghun
    Lee, Donghun
    Son, Youngsung
    2018 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC), 2018, : 1028 - 1030
  • [9] An Agent-Based Platform for Traffic Simulation
    Fernandez-Isabel, Alberto
    Fuentes-Fernandez, Ruben
    SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, 6TH INTERNATIONAL CONFERENCE SOCO 2011, 2011, 87 : 505 - 514
  • [10] Agent-Based Modeling and Simulation for Urban Air Quality Assessment
    Mashhadi, Neda
    Fonlupt, Cyril
    Puigt, Matthieu
    Roussel, Gilles
    Verel, Sebastien
    PROCEEDING OF THE 7TH INTERNATIONAL CONFERENCE ON LOGISTICS OPERATIONS MANAGEMENT, GOL 2024, VOL 2, 2024, 1105 : 155 - 165