空中交通流量管理系统危机处置的理论建模与控制优化
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摘要
随着航空运输的高速发展,流量管理在民航安全中的地位日益突显。本文主要讨论了空中交通流量管理系统危机管理问题,在深入分析欧美日空中流量管理系统与我国流量管理系统的基础上,构建了适合我国的协同流量管理危机处置系统。
     本文的主要工作有:
     1.结合灰色预测理论、BP神经网络、RBF神经网络建立相应的危机预测模型;探讨了多层次综合评价的原理和方法;引入风险预警管理理论和CDM协同决策理论丰富了危机管理的理论体系。
     2.对空管事故的成因进行了系统分析,深入研究了空中交通流量管理系统中的危机问题,结合欧美先进流量管理系统的经验,提出了我国协同流量管理系统中通用危机问题处理方法,采用IDEF系统分析方法,对危机问题的处理过程进行了系统地分析和建模,优化了危机处置的工作流程,并定义了流程各个阶段的数据。
     3.利用时隙分配算法与时隙压缩算法对我国空中交通流量管理系统危机处置算法进行构建,设计出算法中的输入输出参数,分析了算法中的航班时间数据并给出其变更规律。
     4.结合欧美经验,建立了我国空中交通流量管理系统危机管理系统性能指标体系,分析了该指标体系的层次结构,给出了每个监控领域和监控元素的含义,并给出了空中交通拥挤判断指标及应用。
     5.在对危机问题进行分析和理论研究的基础上,给出了我国空中交通流量管理危机处置的整体解决方案,具体包括流量管理中组织结构的设计、机构内部席位的设计、危机问题相应的解决方案和规划,并结合项目研究的实际,进行了危机管理系统的开发。
With the great development of aviation transportation, flow management becomes more and more important in the field of aviation safety. The paper mainly discussed the crisis management problem in the air traffic flow management system. Based on the analysis of the air traffic management system home and abroad, we construct the crisis management system for the collaborative flow management system in our country.
     The main work of this thesis are:
     Combining with the grey forecasting theory, BP Neural Net and RBF Neural Net, we set up the crisis forecasting model and probe into the theory and method for the multilayer integrated evaluation. The theory system of the crisis management was enriched by introduced the risk forecast and alarm management theory and the collaborative decision making theory.
     The cause of the air traffic accident and the crisis problem of the air traffic flow management system were analyzed. Combining with the experience of the developed countries in the flow management system, we put forward the universal crisis management method for the collaborative traffic flow management system. The IDEF system analysis method has been used and the management process for the crisis problem has been analyzed and modeled systemic. The work flow for the crisis management has been optimized and the data of the each flow phase has been defined.
     The algorithm for the crisis management in the air traffic flow management system was designed used by the slot allocation algorithm and the slot compression algorithm, and the input and output parameters for the algorithms were designed. The changing rule of the flight time data in the algorithm was analyzed thoroughly. Based on the principle of the design, combined with the experience from the developed countries, we set up the performance index system for the crisis management system in the air traffic flow management system. The hiberarchy of the index system was analyzed, and the meanings of each supervise field and supervise factor have been put forward. The judging index for the air traffic congestion and its application were put up.
     On the basis of the analysis of the crisis problem and the study of the theory, we put up the resolving scheme for the crisis management in the air traffic flow management system, which including: the design of the organization structure for the flow management, the plan of the organization inner seat and the solving scheme and program for the crisis problem. Integrated with the practice of the project, we developed the program for the crisis management system.
引文
[1] Steven Fink Crisis Management:Planning for the invisible New York: American Management Association, 1986
    [2] 杰佛里·R·卡波尼格罗 危机顾问[M],北京 中国三峡出版社,2001
    [3] 魏加宁. 危机与危机管理[J]. 管理世界, 1994(6)
    [4] 佘廉. 企业预警管理理论. 石家庄: 河北科技技术出版社, 1999
    [5] 朱延智. 企业危机管理. 北京: 中国纺织出版社, 2003
    [6] 张成福. 公共危机管理:全面整合的模式与中国的战略选择[J ] 中国行政管理 2003. 07
    [7] A.R.Odoni, L.Bianco, The flow management problem in air traffic control, Flow Control of Congested Networks, New York: Springer,1987, p.269-288.
    [8] Andreatta.G., Romanin.Jacur, Aircraft flow management under congestion.Transportation Science, 1987, 21,p.249-253.
    [9] Bianco.L., Bielli.M., Air traffrc management: optimization models and algorithms, Journal of Advanced Transportation, 1992, 26, p.131 一 I 67.
    [10] Richetta.0., A.R.Odoni, Solving optimally the static ground-holding policy problem in air traffrc control, Transportation Science, 1993, 27, p228-238
    [11] Terrab.M., A.R.Odoni, Strategic flow management for air traffic control, Operations Research, 1993, 41, p138-152.
    [12] Richetta.O., A.R.Odoni, Dynamic solution to the ground-holding problem in air traffrc control, Transportation Research, 1994, 28A, p.167-185.
    [13] Richetta.O., Optimal algorithms and a remarkable efficient heuristic for the ground holding problem in air traffrc control, Operations Research, 1995, 43, p.758-770.
    [14] Tosic.V., Babic.O., Air route flow management problems and research efforts, Transportation Planning and Technology, 1995, 19, p.63-72.
    [15] Vranas.P.B., Bertsimas.D.J., A.R.Odoni, The mufti-airport ground holding problem in air traffic control, Operations Research, 1994, 42, p.249-261.
    [16] Vranas.P.B., Bertsimas.D.J., A.R.Odoni, Dynamic ground holding policies for a network of airports. Transportation Science, 1994, 28, p.275-291.
    [17] M. Ball, R. Hoffman, A. Odoni, and R. Rifkin. A stochastic integer program with dual network structure and its application to the ground-holding problem, 2002.
    [18] 胡明华, 徐肖豪. 空中交通流量控制的地面保持策略. 南京航空航天大学学报.Nov.1994, Vol.26 Suppl, p.26-29
    [19] 胡明华, 徐肖豪等. 空中交通流量管理中的多元受限地面等待策略问题研究. 航空学报. Jan 1998, Vol.19 No.1, p.78-82
    [20] 胡明华等. 空中交通地面等待问题的网络流规划模型. 东南大学学报(自然科学版), May 2000, Vol.30, No.3, p.104-107
    [21] 胡明华等. 多机场地面等待问题模型研究. 南京航空航天大学学报. Oct 2000, Vol.32, No.5, p.586-590
    [22] 李树波, 洪冠新, 赵嶷飞. 基于地面等待的空中交通流量管理算法研究. 北京航空航天大学学报. May 2004, Vol.30, No.5, p.479-482
    [23] 樊军, 王莉莉. 基于 Hopfield 网络的单机场地面等待优化算法. 中国民航学院学报, Jun 2004, Vol.22, No.3, p.11-13
    [24] 李雄, 徐肖豪. 空中交通地面等待的指派问题研究. 中国民航学院学报. Jun 2004, Vol.22 Suppl, p.87-90
    [25] 翟鹏飞, 徐肖豪. 随机型单机场受限地面等待策略. 中国民航学院学报. May 2005, Vol.23, Suppl, p.21-23
    [26] 姜微微, 崔德光, 舒学智. 空中交通流量管理中的多机场地面等待策略. 清华大学学报(自然科学版), 2006, Vol.46, No.1, p.138-141
    [27] 周沁等. 机场流量管理模型的公平性与有效性研究. 中国科技信息 2005 年第 4期.p.126
    [28] H.Psaraftis, A Dynamics Programming Approach to the Aircraft Sequencing Problem.M.I.T. Flight Transportation Laboratory Report, R78-4, Oct. 1978.
    [29] H.Psaraftis, A Dynamics Programming Approach for Sequencing Groups of Identical Jobs. Operation Research 28, 1980.
    [30] L.Bianco,B.Nicoletti,S.Ricciardelli, A Algorithm for Optimal Sequencing of Aircraft in the Near Terminal Area, Proceedings of the 8th IFIP Conference on Optimization Techniques, Sep. 1977.
    [31] A.Andreussi, L.Bianco, S.Riccardelli. A Simulation Model for Aircraft Sequencing in the Terminal Area. EJOR, 8:345-354, 1981.
    [32] H.Erzberger,W.Nedell, Design ofAutomated System for Management of Arrival Traffic. NASA/TM102201,1989
    [33] Neuman F., H. Erzberger, Analysis of Sequencing and Scheduling Methods for Arrival Traffic. NASA/TM-102795.
    [34] C.R.Brinton, An Implicit Enumeration Algorithm for Arrival Aircraft Scheduling, Proceeding of the 1 Ith IEEE/AIAA Digital Avionics Systems Conference,1992.
    [35] Venkatakerishnan C.S., Landing at Logan Airport. Describing and Increasing Airport Capacity[J] Transportation Science, 1993;27(3):211-227
    [36] J.Abela,D.Abramson, Computing Optimal Schedules for Landing Aircraft. Proceeding of the 12th National ASOR Conference, Australia, 1993
    [37] Trivizas D.A., Optimal scheduling with maximum position shift (MPS) constraints: a runway scheduling application. Journal of Navigation, 51, p.250-266. 1998
    [38] J.E.Beasley, SchedulingAircraft Landings-The Static Case, Transportation Science, vo134,2000
    [39] Andreas T Ernst and Mohan Krishnamoorthy, Algorithms for Scheduling Aircraft Landings, August 15, 2001 in AGIFORS 2001
    [40] Beasley, J., Krishnamoorthy, M., Sharaiha, Y and Abramson, D., Displacement problem and dynamically scheduling aircraft landing, Journal of the Operational Research Society, 55(1), 2004, pp 54-64.
    [41] L.Bianco, S.Ricciardelli, G Rinaldi, A.Sassano, Scheduling Tasks with Sequence-Dependent Processing Times, Naval Res. Logist. 35, 177-184, 1988.
    [42] L.Bianco, A.R.Odoni, Large Scale Computation and Information Processing in Air Traff c Control, Springer}Verlag, Berlin, 1993.
    [43] Luenburger.Robert, A Traveling-Salesman-Based Approach to Aircraft Scheduling in the Terminal Area, NASA/TM-100062, Mar.1988
    [44] L.Bianco, A.Mingozzi, S.Ricciardelli, The travelling salesman problem with cumulative costs, Networks 23, 81-91,1993.
    [45] Vic Ciesielski, Paul Scerri, An Anytime Algorithm for Scheduling Aircraft Landing Times Using Genetic Algorithms, Australian Journal of Intelligent Information Processing System, 1997,4:206-213
    [46] Vic Ciesielski, Paul Scerri, Real Time Genetic Scheduling of aircraft Landing Times, the IEEE International Conference on Evolutionary Computation, 1998:360-364
    [47] V.H.L. Cheng, L.S.Crawford, and PK.Menon, Air Traffic Control Using Genetic Search Techniques, 1999 IEEE International Conference on Control Applications, Hawaii, HA, August 22-27
    [48] Robinson J.E., Davis T.J., Isaacson D.R., Fuzry Reasoning-Based Sequencing ofArrival Aircraft in the Terminal Area. AIAA 97-3542, 1997.
    [49] Douglas R.Isaacson, Thomas J.Davis, John E.Robinson, Knowledge-Based Runway Assignment for Arrival Aircraft in the Terminal Area, AIAA Guidance, Navigation, and Control Conference, New Orleans, LA August 11-13, 1997.
    [50] Dynamic Planner: the Sequencer, Scheduler, and Runway Allocator for Air Traffic Control Automation, NASA/TM-2000-209586, April 2000
    [51] Janic M. A Model of the Traj}c Flow Management Problem in Air Traffic Control: Assigning Priorities for Landings in a Congested Airport, Transportation Planning and Technology Vo1.19, No. I,pp. 131-162. 1997
    [52] Gregory C.Carr, H.Erzberger, F.Neuman, Airline Arrival Prioritization in Sequencing and Scheduling, 2nd USA/Europe Air Traffic Management R&D Seminar, Orlando, Dec., 1998.
    [53] Gregory.C.Carr, H.Erzberger, F.Neuman, Delay exchanges in arrival sequencing and scheduling, Journal of Aircraft, 36, 785-791,1999
    [54] Gregory.C.Carr, H.Erzberger, F.Neuman, Fast-time study of airline-influenced arrival sequencing and scheduling, Journal of Guidance, Control and Dynamics, 23, 526-531, 2000.
    [55] 荀海波,徐肖豪,陈绪华,机场终端区着陆次序的排序规划算法,南京航空航天大学学报,1999.2
    [56] H.Erzberger,W.Nedell, Design ofAutomated System for Management of Arrival Traffic. NASA/TM102201,1989
    [57] 丁峰,贺尔铭,吴盘龙,空中交通自动化管理中飞机等待队列的排序算法,西北工业大学学报,19(3),p456-460,2001
    [58] Dear R.G., Sherif Y.S., An algorithm for computer assisted sequencing and scheduling of terminal area operations. Transportation Research, 25A, p.129-139. 1991
    [59] 杨新涅,速度调整在空中交通管制中的应用,中国民航学院学报,2000 年 18 卷第 4期
    [60] 胡明华, 李丹阳, 韩松臣. 被动空中交通流量管理中的动态排序算法.南京航空航天大学学报. Feb 2000, Vol.32, No.1, p.85-90
    [61] 徐肖豪,黄宝军. 终端区飞机排序的模糊综合评判方法研究. 航空学报. May 2001,Vol.22 No.3 p.259-261
    [62] 余江, 刘晓明, 蒲云. 飞机着陆调度问题的 MPS 优化算法研究. 系统工程理论与实践,2004 年 3 月第 3 期,p.119-122
    [63] 余江, 王大海. 飞机着陆调度的到达时间优化. 航空计算技术. Mar 2004 vol.34 No.1, p.35-37
    [64] 马正平, 崔德光, 陈晨. 空中交通进近排序及优化调度. 清华大学学报(自然科学版),2004 年第 44 卷第 1 期.p.122-125
    [65] 马正平, 崔德光. 机场航班延误优化模型. 清华大学学报(自然科学版),2004 年第44 卷第 4 期.p.474-477
    [66] 徐肖豪, 李忠诚. 模糊模式识别方法在最后进近排序中的应用. 中国民航学院学报,2004 年 4 月第 22 卷第 2 期,p.1-5
    [67] 徐肖豪, 姚源. 遗传算法在终端区飞机排序中的应用. 交通运输工程学报,2004 年 9月第 4 卷第 3 期. P.121-126
    [68] 王莉莉, 史忠科, 张兆宁. 机场着陆排序的一种滑动窗优化算法. 中国民航学院学报, 2004 年 12 月第 22 卷第 6 期.p.18-21
    [69] 何智, 高超, 姚凯, 廉洁. 终端区空中交通流量管理中的航班动态排序系统研究.交通与计算机, 2005 年第 2 期 第 23 卷. p.119-122
    [70] 邓聚龙. 灰色预测与决策[M]武汉:华中理工大学出版社,1988
    [71] 许开立等. 事故的预测预报[J] 劳动保护科学技术. 1996,16(5):11-13
    [72] 易德生,郭萍. 灰色理论与方法[M] 北京:石油工业出版社,1992
    [73] 宋国强,刘美芬. 民航统计[M] 北京:中国民航出版社.2003,11:36-37
    [74] 张际先.神经网络及其在工程中的应用[M]北京:机械工业出版社.1996.59-67
    [75] 施式亮.矿井安全非线性动力学评价模型及应用研究[D]:[博士学位论文]长沙:中南大学,2000:98-99
    [76] YUE Rentian, WANG Zhanwei, LIU Lingli. Application of Gray Theory on Quantified
    [77] Forecast for Aviation Ground Thunderbolt Accidents[C] Progress in Safety Science and technology,2004,Vol.IV:2150-2153
    [78] 罗帆,佘廉. 航空交通灾害预警管理[M]石家庄:河北科学技术出版社,2004
    [79] Saaty A. L. The analytic hierarchy process[M] McGraw Hill, Inc. 1980.
    [80] 李西灿, 韩忠吉, 边微. 数字化测图质量多层次模糊综合评价模型及应用[J] 山东农业大学学报(自然科学版),2005,36(3):462~466
    [81] 段绍伟,沈蒲生.模糊综合评价与数据包络分析在工程方案设计选择中的应用[J] 水利学报,2004,(5):1-8.
    [82] Shuping Ji, Xiaoli Li, Yuli Ma. Optimal tolerance allocation based on fuzzy comprehensive evaluation and genetic algorithm[J] Int. J. of Advanced ManufacturingTechnology, 2000,Vol.16: 451-468.
    [83] Identification of Communication and Coordination Issues in the U. S. Air Traffic Control System. Hayley J. Davison and R. John Hansman. Report No. ICAT-2001-2 June 2001
    [84] 空中交通服务安全评估系统[Z]中国民用航空总局航空安全办公室,中国民用航空总局空中交通管理局,2000
    [85] De Mavines v KLM.CCH avi,Vol.14,P.18,212(1977)
    [86] War show v TWA CCH avi, Vol.14,P.18,297(1977)
    [87] ATFCM USERS MANUAL. Edition: 11.0
    [88] White M., An Overview of Traffic Flow Management, Mitre Corporation, IEEE CH3000-7, 1992, 0422 0424
    [89] 姜桂艳,冮龙晖,王江锋 城市快速路交通拥挤识别方法 交通运输工程学报 第 6 卷 第 3 期 2006 年 9 月
    [90] ENHANCED TRAFFIC MANAGEMENT SYSTEM (ETMS) Reference Manual Version 7.6 May, 2003 Volpe National Transportation Systems Center U.S. Department of Transportation Kendall Square Cambridge, Massachusetts 0214 Report No. VNTSC-DTS56-TMS-004
    [91] Flight Schedule Monitor User’s Guide Version 8.5 Client
    [92] FAA,Order 7210.3U,Facility Operation and Administration
    [93] Enhanced Traffic Management System (ETMS) Reference Manual,Version 7.6,VNTSC-DTS56-TMS-004
    [94] 张通国、詹建民、朱衍波、宋万忠、赵嶷飞.日本空中交通流量管理系统考察报告.
    [95] “协同流量管理核心技术”需求分析报告
    [96] Aggregate Demand List (ADL) / FSM Broadcast Data Formats - Version 11 Revision 4
    [97] Aircraft Situation Display To Industry: Functional Description and Interface Control Document,Version 5.3, 29 June 2005
    [98] ATFCM USERS MANUAL. Edition: 11.0
    [99] Adams M., S. Kolitz, J. Milner, A.R. Odoni, “Evolutionary concepts for decentralized air traffic flow management”. Air Traffic Control Quarterly 4, (1996).
    [100] Andreatta G., L. Brunetta, “Multiairport ground holding problem: A computational evaluation of exact algorithms”. In Operations Research 46 (1998).
    [101] Andreatta G., Brunetta L. and Guastalla G., “The flow management problem: Present computational algorithm”. In Proceedings of the Eighth IFAC Symposium on Transportation System, Chania, (1997).
    [102] Dell’Olmo P., G. Lulli. “A Dynamic Programming Approach for the Airport Capacity Allocation Problem”. Technical Paper, Dip. di Statistica, Probabilit`a e Statistiche Applicate, Univ. di Roma, (2003).
    [103] Dell’Olmo P., G. Lulli, “A new hierarchical architecture for Air Traffic Management: Optimisation of airway capacity in a Free Flight scenario”. European Journal of Operational Research 144, (2003).
    [104] Duong Vu, “Free route experimental encounter resolution : Initial results”. Technical Paper, Eurocontrol, Bretigny, (1999).
    [105] [8] Fearnsides J. J., “Free flight as a system concept”. In Proceedings of CAAASD, (1995).
    [106] Gilbo E. P., “Airport capacity: Representation, estimation, optimization”. IEEE Trans. Contr. Syst. Technol., vol. 1, (1993).
    [107] Gilbo E. P., “Optimizing Airport Capacity Utilization in Air Traffic Flow Management Subject to Constraints at Arrival and Departure Fixes”. IEEE Trans. on Control Systems Technology, Vol. 5, (1997).
    [108] Gilbo E.P. and K. Howard, “Collaborative Optimization of Airport Arrival and Departure Traffic Flow Management Strategies for CDM”. 3rd USA/Europe Air Traffic Management R&D Seminar, Italy, (2000).
    [109] Gilbo E. P., “Arrival/Departure Capacity Tradeoff Optimization: a Case Study at the St. Louis Lambert International Airport (STL)”. 5th USA/Europe Air Traffic Management R&D Seminar, Budapest, (2003).
    [110] Hamzawi S. G., “Lack of airport capacity: Exploration of alternative solutions”. Transportation Res.-A, vol. 26-A, no. 1, (1992).
    [111] Hoffman R. L., M.O. Ball. “A comparison of formulations for the single airport ground holding problem with banking constraints”. Operations Research 48, 578-590, (2000).
    [112] Idrissi A., “CASC : Aide `a la d′ecision au contr?oleur a′erien par satisfaction de contraintes”. In proceedings of RIVF’05, Can Tho, Vi?etnam, (2005).
    [113] Idrissi A. and Chu Min Li, “Modelling Constraint Optimization Problems: Airport Capacity Allocation as a Case Study”. In proceedings of ICMS’05, Marrakech, (2005).
    [114] Idrissi A. and Chu Min Li, “CSPAC : un mod`ele de r′esolution du probl`eme d’allocation de capacit′es”. In proceedings of MajecStic’05, Rennes, (2005).
    [115] Jenny M., “Foreword”. Air Traffic Control Quarterly 5, (1997). [19] Korf R., “Linear-space best first search”. Artificial Intelligence, 62:41- 78, (1993).
    [116] Larrosa J. and P. Meseguer, “Exploiting the use of DAC in max-csp”. In proceedings of CP-96, Cambridge, (1996).
    [117] Li Chu Min, F. Manya and J. Planes, “Exploiting Unit Propagation to Compute Lower Bounds in Branch and Bound Max-SAT Solvers”. In proceedings of CP-05, (2005).
    [118] Montanari U., “Networks of constraints : Fundamental properties and applications to picture processing”. Information Sciences, 7: 95-132, (1974).
    [119] Odoni A. R., J. Bowman, et al., “Existing and required modeling capabilities for evaluating ATM system and concepts”. Final Report International Centre for Air Transportation, MIT, Cambridge, MA, (1997).
    [120] Schiex T., H. Fargier and G. Verfaillie, “Valued constraint satisfaction problems: hard and easy problems”. In proceedings of IJCAI-95. Montr′eal, Canada, (1995).
    [121] Wambsganss M. C., “Collaborative decision making air traffic management”. In L. Bianco, P. Dell’Olmo, A.R. Odoni (Eds.), New Concepts and Methods in Air Traffic Management, Springer, Berlin, (2001).
    [122] Zhang W., “Modeling and analyzing soft constraint optimization : Ressource allocation as a case study”. Technical report WU-CIC Working Note 1, Computational Intelligence Center, Washington University, St Louis, MO 63130, (2001).
    [123] Ball, M., Hoffman, R., Odoni, A. and Rifkin, R. (1999), The static stochastic ground holding problem with aggregate demands, NEXTOR Research Report \# RR-99-1, UC Berkeley.
    [124] Ball, M., Hoffman, R., Hall, W. and Muharremoglu, A. (1999b) Collaborative decision making in air traffic management: a preliminary assessment, NEXTOR Research Report \#RR-99-3, UC Berkeley.
    [125] Bertsimas, D. and Stock, S. (1998), The air traffic flow management problem with en-route capacities, Operations Research, 46, 406-422.
    [126] Bertsimas, D. and Stock Patterson, S. (1998), The traffic flow management rerouting problem in air traffic control: a dynamic network flow approach, to be published in Operations Research.
    [127] Butler, T. (1998), Optimization Model with Fairness Objective for Air Traffic Management, MA Thesis, Applied Mathematics, University of MD,1998.
    [128] Chaabouni, M. (1999), Determining Ground-Holding Times in the Presence of Uncertainty about Departure Delays and Arrival Delays, SM Thesis, Department of Aeronautical Engineering, MIT, January, 1999.
    [129] Gibbons, R. (1992), Game Theory for Applied Economists, Princeton, New Jersey: Princeton University Press.
    [130] Hall, W. (1999) Information Flows and a Dynamic Collaborative Decision-Making Architecture for Increasing the Efficiency of Terminal Area Operations, PhD Dissertation, Operations Research Center, MIT, June, 1999.
    [131] Hoffman, R. (1999a), Integrated Predictive Error (IPE) for single-event predictions. Manuscript in preparation.
    [132] Hoffman, R. and Ball, M. (1999b), The Rate Control Index for Air Traffic Flow Management, submitted for publication.
    [133] Hoffman, R., Hall, W., Ball, M., Odoni, A. and Wambsganss, M., (1999), Collaborative decision making in air traffic flow management, NEXTOR Research Report \# RR-99-2, UC Berkeley.
    [134] Pujet, N. (1999) Modeling an Airline Operations Center and its Interactions with ATM, PhD Dissertation, Dept of Aeronautical Engineering, MIT, June, 1999.
    [135] Vossen, T. and Ball, M. (1999) An analysis of alternate models for the fair allocation of resources in ground delay programs, presented at INFORMS National Meeting, Cincinnati, May, 1999.
    [136] Wambsganss, M., (1997) Collaborative decision making through dynamic information transfer, Air Traffic Control Quarterly, 4, 107-123.
    [137] O. Richetta. Optimal algorithms and a remarkably efficient heuristic for the ground-holding problem in air traffic control. Operations Research, 43:758-770, 1995.
    [138] O. Richetta and A. Odoni. Solving optimally the static ground holding policy problemin air traffic control. Transportation Science, 24:228-238, 1993.
    [139] L. Shapley and H. Scarf. On cores and indivisibility. Journal of Mathematical Eco-nomics, 1:23-37, 1974.32
    [140] M. Terrab. Ground Holding Strategies for Air Traffic Control. PhD thesis, Massachusetts Institute of Technology, Department of Civil Engineering, 1990.
    [141] M. Terrab and A. Odoni. Strategic flow management for air traffic control. Operations Research, 41:138-152, 1993.
    [142] M. Adams, S. Kolitz, J. Milner, and A. Odoni. Evolutionary concept for decentralized air traffic management. Air Traffic Control Quarterly, 4:281-306, 1997.
    [143] G. Andreatta, A. Odoni, and O. Richetta. Models for the ground holding problem. In L. Bianco and A.R. Odoni, editors, Large-Scale Computation and Information Process-ing in Air Traffic Control, pages 125-168. Springer-Verlag, Berlin, 1993.
    [144] M. Brennan. Simplified substitutions - enhancements to substitution rules and pro-cedures during ground delay programs. Proceedings of AGIFORS Airline Operations Meeting, 2001.
    [145] K. Chang, K. Howard, L. Shisler, M.C. Wambsganss, M. Tanino, and R. Oiesen. En-hancements to the faa ground-delay program under collaborative decision making. In-terfaces, 31(1):57-76, 2001.
    [146] W.D. Hall. Efficient Capacity Allocation in a Collaborative Air Transportation System. PhD thesis, Massachusetts Institute of Technology, 1999.
    [147] R. Hoffman. Refined benefits assessment of the collaborative arrival planner aatt decision support tool. Internal Document, Metron Inc., 2000.31
    [148] K. Howard. Slot credit substitutions issues. Internal CDM Memorandum, 2001.
    [149] S. Luo and G. Yu. Airline schedule perturbation problem: Ground delay program with splittable resources. In G. Yu, editor, Operations Research in the Airline Industry, pages 433-460. Kluwer Academic Publishers, 1998.
    [150] S. Luo and G. Yu. Airline schedule perturbation problem: Landing and takeoff with non-splittable resource for the ground delay program. In G. Yu, editor, Operations Research in the Airline Industry, pages 404-432. Kluwer Academic Publishers, 1998.
    [151] Herve Moulin. Cooperative Microeconomics: A Game-Theoretic Introduction. Princeton University Press, 1995.
    [152] T. Niznik. Optimizing the airline response to ground delay programs. Proceedings of AGIFORS Airline Operations Meeting, 2001.
    [153] A. Vasquez-Marquez. American airlines arrival slot allocation system. Interfaces, 21:42- 61, 1991.
    [154] T. Vossen. Fair Allocation Methods in Air Traffic Management. PhD thesis, University of Maryland, 2002.
    [155] T. Vossen and M. Ball. Optimization and mediated bartering models for ground delay programs. Working Paper, 2003.
    [156] P. Vranas, D. Bertsimas, and A. Odoni. Dynamic ground-holding policies for a network of airports. Transportation Science, 28:275-291, 1994.
    [157] P. Vranas, D. Bertsimas, and A. Odoni. The multi-airport ground holding problem in air traffic control. Operations Research, 42:249-261, 1994.
    [158] M. Wambsganns. Collaborative decision making through dynamic information transfer. Air Traffic Control Quarterly, 4:107-123, 1996.

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