ITR: Very Efficient Network Simulation Methods for Auctioning and Collaborative Models of Air Traffic Management

该项目的目标是为大型复杂网络开发新的高效仿真方法，使用混合仿真/分析排队模型，并使用新的动态计算预算分配技术有效地运行模型的仿真部分。该项目将把新开发的仿真方法扩展到国家空中交通网络，包括跑道槽拍卖和空中交通管理的基于代理的建模（ABM）。航空公司和机场扮演代理人的角色，参与动态竞争，利用信息实现个人利益最大化。将试验基于代理的可选规则，以确定最优决策策略。使用快速仿真引擎和ABM建模方法，将研究和设计良好的拍卖规则，以更好地规范机场跑道的使用。利用拍卖的方式来分配跑道，有可能在经济上促使航空公司更有效地利用整个系统的容量，从而减少拥堵，提高安全水平。虽然提出的模拟工具是为美国的航空运输网络量身定制的，但新开发的方法将适用于其他复杂的动态网络，如通信网络、制造系统和物流网络。

The objective of the project is to develop new efficient simulation methods using a hybrid simulation/analytic queueing model for large and complex networks, and efficiently run the simulation portion of the model using a new dynamic computing budget allocation technique. This project will extend the use of the newly developed simulation methods to the national air traffic network including runway slot auctioning and agent-based modeling (ABM) of air traffic management. Airlines and airports play the roles of agents engaged in a dynamic competition to maximize their individual profits with the use of information. Alternative agent-based rules will be experimented to determine optimal decision policies. Good auction rules to better regulate the use of airport runways will be investigated and designed using the fast simulation engine and ABM modeling approach. Using auctions to allocate runway slots has the potential to economically induce airline carriers to more efficiently use the capacity of the entire system - thus, decreasing congestion and increasing the safety level. While the proposed simulation tool is tailored for the air transportation network in the U.S., the newly developed methods will be applicable to other complex, dynamic networks, such as communication networks, manufacturing systems, and logistics networks.