Airport Surface Traffic Simulation Based on Agent-Cellular Automaton

doi:10.16182/j.issn1004731x.joss.201803011

Abstract

Abstract: In order to analyze the traffic situation of airport surface, an airport surface traffic simulation method is proposed based on the theory of agent and cellular automaton model. The traffic characteristics of airport surface are analyzed. The combination of agent theory and the cellular automaton model is discussed. Different parts of the airport surface traffic are defined respectively as one-dimensional cellular automaton, and aircraft agent is designed, which means that a traffic simulation model is constructed based on agent-cellular automaton. The airport surface traffic is simulated. Simulation results show that the simulation method has the characteristics of simple, high efficiency and high accuracy, which can reflect the autonomy and individual differences of aircraft taxi in airport traffic system. And the analysis and assessment of the traffic situation has high application value in airport surface.

Key words: airport surface traffic, agent, cellular automata, traffic simulation, traffic operation situation

CLC Number:

TP391.9

Xing Zhiwei, Li Shijiao, Tang Yunxiao, Luo Qian. Airport Surface Traffic Simulation Based on Agent-Cellular Automaton[J]. Journal of System Simulation, 2018, 30(3): 857-865.

References 14

[1]	Long D, Kostiuk P.Integrating LMINET with TAAM and SIM-MOD [R]. CR-210875, Virginia: NASA, 2001: 25-36.
[2]	张玉州, 陈文莉, 李锐, 等. 基于局部搜索机制MOGA的多目标ADGHP建模及优化[J]. 系统仿真学报, 2013, 25(5): 962-968. Zhang Yuzhou, Chen Wenli, Li Rui, et al. Modeling and Optimization for Multi-objective ADGHP Based on Local Search MOGA[J]. Journal of System Simulation, 2013, 25(5): 962-968.
[3]	钟育鸣, 韩松臣, 张旭婧. 机场容量评估中仿真飞机流的设计与实现[J]. 交通与计算机, 2008, 26(6): 120-123.ZHONG Yu-ming, HAN Song-chen, ZHANG Xu-jing. Design and Implementation of Simulation Aircraft Flow in Airport Capacity Assessment [J] . Journal of Transport Information and Safety, 2008, 26(6): 120-123.
[4]	尹嘉男, 胡明华, 赵征. 多跑道机场停机位分配仿真模型及算法[J]. 交通运输工程学报, 2010, 10(5): 71-76.YIN Jia-nan, HU Ming-hua, ZHAO Zheng. A Simulation Model and Algorithm of Airport Runway Allocation at Multi-runway [J]. Journal of Traffic and Transportation Engineering, 2010, 10(5): 71-76.
[5]	尤杰, 韩松臣. 基于多Agent的机场场面最优滑行路径算法[J]. 交通运输工程学报, 2009, 9(1): 109-112.YOU Jie, HAN Song-Chen. An Optimal Glide Path Algorithm for Airport Scene Based on Multi-Agent [J] . Journal of Traffic and Transportation Engineering, 2009, 9(1): 109-112.
[6]	Meng Qiang, Weng Jinxian.An Improved Cellular Automata Model for Heterogeneous Work Zone Traffic[J]. Transportation Research Part C(S0968-090X), 2011, 19(6): 1263-1275.
[7]	魏丽英, 吴荣华, 王志龙. 考虑公交影响的进口道元胞自动机换道模型[J]. 系统仿真学报, 2014, 26(6): 1327-1330. Wei Liying, Wu Ronghua, Wang Zhilong. Cellular Automata Lane-changing Model on Approach Considering Affects of Transit Vehicles[J]. Journal of System Simulation, 2014, 26(6): 1327-1330.
[8]	庞明宝, 陈静, 杨敏. 基于CA模型的中小学放学门口道路交通仿真[J]. 系统仿真学报, 2015, 27(5): 927-934. Pang Mingbao, Chen Jing, Yang Min. traffic Simulation of Elementary and Middle School’s Gate Road During Student Departing School Based on CA Model[J]. Journal of System Simulation, 2015, 27(5): 927-934.
[9]	Wang Yang, Chen Yan-Yan.A new cellular automaton for signal controlled traffic flow based on driving behaviors[J]. Chinese Physics B (S1674-1056), 2015, 24(3): 463-473.
[10]	Tian J F, Jia N, Zhu N, et al.Brake light cellular automaton model with advanced randomization for traffic breakdown[J]. Transportation Research Part C Emerging Technologies (S0968-090X), 2014, 44(4): 282-298.
[11]	Han Yo-sub, Ko Sang-ki.Analysis of a Cellular Automaton Model for Car Traffic with a Junction[J]. Theoretical Computer Science (S0304-3975), 2012, 450(13): 54-67.
[12]	白宪阵, 曹军海, 王绪智. 面向复杂系统可靠性仿真的Agent设计与验证[J]. 系统仿真学报, 2012, 24(10): 2193-2196. Bai Xianzhen, Cao Junhai, Wang Xuzhi. Design and Validation of Agents Orientated to Complex System Reliability Simulation [J]. Journal of System Simulation, 2012, 24(10): 2193-2196.
[13]	毛新军, 胡翠云, 孙跃坤, 等. 面向Agent程序设计的研究[J]. 软件学报, 2012, 23(11): 2885-2904.Mao Xinjun, Hu Cuiyun, Sun Yuekun, et al. Research on Agent Oriented Programming [J]. Journal of Software, 2012, 23(11): 2885-2904.
[14]	罗键, 武鹤, 曹浪财. 多智能体对手建模及其真实模型的确定[J]. 华中科技大学学报(自然科学版), 2015, 43(10): 48-52.Luo Jian, Wu He, Cao Langcai. Modeling of multi-agent opponent and its real model determination [J]. Journal of Huazhong University of Science and Technology, 2015, 43(10): 48-52.

[1]	Miaojia Lu, Chengyuan Huang, Jing Teng. Multi-agent Simulation for Online Fresh Food Autonomous Delivery [J]. Journal of System Simulation, 2022, 34(6): 1185-1195.
[2]	Lingjia Ni, Xiaoxia Huang, Hongga Li, Zibo Zhang. Research on Fire Emergency Evacuation Simulation Based on Cooperative Deep Reinforcement Learning [J]. Journal of System Simulation, 2022, 34(6): 1353-1366.
[3]	Yangsheng Jiang, Sichen Wang, Kuan Gao, Meng Liu, Zhihong Yao. Cellular Automata Model of Mixed Traffic Flow Composed of Intelligent Connected Vehicles’ Platoon [J]. Journal of System Simulation, 2022, 34(5): 1025-1032.
[4]	Xin Zhou, Weiping Wang, Yifan Zhu, Tao Wang, Tian Jing. An Unmanned Swarm Search Method Based on Human-Robot Cooperation [J]. Journal of System Simulation, 2022, 34(4): 735-744.
[5]	Qinglu Ma, Lin Zhang, Xinxin Yuan, Fengjie Liu. Continuous Simulation Technology for Multi-State Evolution of Urban Road Traffic [J]. Journal of System Simulation, 2022, 34(4): 847-855.
[6]	Xiaohan Wang, Lin Zhang, Yuanjun Laili, Kunyu Xie, Tingchun Hu. Constructing the Agent Discrete Simulation Based on DEVS Atomic Model [J]. Journal of System Simulation, 2022, 34(2): 191-200.
[7]	Feng Li, Ying Wei. Product Decisions in Presence of Social Learning and Reference Point Effect [J]. Journal of System Simulation, 2022, 34(2): 234-246.
[8]	Qi Xiaolong, Yang Xuguang. Time-varying Output Formation Tracking Control of Discrete-time Heterogeneous Multi-agent Systems [J]. Journal of System Simulation, 2022, 34(1): 36-44.
[9]	Zhao Zheng, Hu Li, Qian Yuanyuan, Jin Hui, Jia Aiping. Research on Optimal Allocation Method of Aircraft Towing Rules Based on Multi-agent [J]. Journal of System Simulation, 2022, 34(1): 113-125.
[10]	He Xiaoyuan, Guo Shengming, Wu Lin, Li Dong, Xu Xiao, Li Li. Modeling Research of Cognition Behavior for Intelligent Wargaming [J]. Journal of System Simulation, 2021, 33(9): 2037-2047.
[11]	Cong Jiping, Cui Lijie, Ding Gang, Ren Bo. Simulation on Aviation Maintenance Support System Based on Goal-driven [J]. Journal of System Simulation, 2021, 33(9): 2157-2165.
[12]	Hu Mingwei, Zhang Zhiming, Chen Xiangsheng. Research on Benefits of Mixed Traffic Flow of Intelligent Connected Vehicles [J]. Journal of System Simulation, 2021, 33(9): 2270-2278.
[13]	Wang Bohan, Wu Tingyu, Li Wenhao, Huang Da, Jin Bo, Yang Feng, Zhou Aimin, Wang Xiangfeng. Large-scale UAVs Confrontation Based on Multi-agent Reinforcement Learning [J]. Journal of System Simulation, 2021, 33(8): 1739-1753.
[14]	Zhao Yu, Guo Jifeng, Yan Peng, Bai Chengchao. Self-learning-based Multiple Spacecraft Evasion Decision Making Simulation Under Sparse Reward Condition [J]. Journal of System Simulation, 2021, 33(8): 1766-1774.
[15]	Zhao Zhu, Wang Yi, Fan Ruifeng, Li Liya, Qi Meng. Modeling on Anti-UAV System-of-systems Combat OODA Loop Based on NetLogo [J]. Journal of System Simulation, 2021, 33(8): 1791-1800.