基于空中交通流的空中交通网络拥挤程度评估
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摘要
为解决空中交通流量日益增多导致的空中交通拥挤和拥堵问题,从空中交通流角度出发,区分空中交通拥挤和拥堵;通过建立拥挤程度评估模型来评估空中交通网络中拥挤程度。首先从容量和流量的角度区分并界定空中交通拥挤和拥堵的概念;同时借鉴道路交通思想,将空中交通分为畅通、正常、拥挤和拥堵四种状态。然后从空中交通流角度分析判定空中交通拥挤,提出拥挤状态门限区间,建立多种情况下的空中交通拥挤评估模型。最后引用某大型繁忙机场某时段的航班数据作为算例。结果表明,所建立模型可以用来评估空中交通网络拥挤程度。
In order to solve air traffic crowding and congestion caused by the increasing air traffic flow,air traffic crowding and congestion were distinguished from the perspective of air traffic flow,and evaluates crowding level in the air traffic network by establishing crowding assessment models. Firstly,the concept of air traffic crowding and congestion were distinguished and defined from the perspective of capacity and demand,and draw on the road traffic thought to divide air traffic into four states: smooth,normal,crowded and congested. Then,the air traffic congestion is analyzed from the perspective of air traffic flow,the crowding threshold is set and the model of air traffic crowding assessment is established under various conditions. Finally,the flight data of a large busy airport is quoted as an example. The results show that the established model can be used to assess the congestion of the air traffic network.
In order to solve air traffic crowding and congestion caused by the increasing air traffic flow,air traffic crowding and congestion were distinguished from the perspective of air traffic flow,and evaluates crowding level in the air traffic network by establishing crowding assessment models. Firstly,the concept of air traffic crowding and congestion were distinguished and defined from the perspective of capacity and demand,and draw on the road traffic thought to divide air traffic into four states: smooth,normal,crowded and congested. Then,the air traffic congestion is analyzed from the perspective of air traffic flow,the crowding threshold is set and the model of air traffic crowding assessment is established under various conditions. Finally,the flight data of a large busy airport is quoted as an example. The results show that the established model can be used to assess the congestion of the air traffic network.
引文
1 Wanke C,Song L,Zobell S,et al. Probabilistic congestion management[C]//6th USA/Europe Seminar of Air Traffic Management R&D. Baltimore:FAA/EUROCONTROL,2005:27-30
2 Sun D,Bayen A M. Multicommodity eulerian-lagrangian large-capacity cell transmission model for en route traffic[J]. Journal of Guidance Control&Dynamics,2008,31(3):616-628
3 Rehwald E,Hecker P. Airport centered flow management[C]//AIAA Aviation Technology,Integration,and Operations(ATIO)Conference. Reston:AIAA,2010:1-6
4 Grabbe S,Sridhar B,Mukherjee A. Clustering days with similar airport weather conditions[C]//AIAA Aviation Technology,Integration,and Operations Conference. Reston:AIAA,2014:1-16
5 赵嶷飞,陈凯,刘刚,等.一种新的扇区拥挤告警指标及应用[J].中国安全科学学报,2009,19(3):103-107Zhao Yifei,Chen Kai,Liu Gang,et al. A new flow alert for sector congestion and its application[J]. China Safety Science Journal,2009,19(3):103-107
6 田文,胡明华.空域拥挤风险管理时间决策模型与方法[J].南京航空航天大学学报,2011,43(4):565-571Tian Wen,Hu Minghua. Time decision making model and methodology for airspace congestion risk management[J]. Journal of Nanjing University of Aeronautics&Astronautics,2011,43(4):565-571
7 李善梅.空中交通拥挤的识别与预测方法研究[D].天津:天津大学,2014Li Shanmei. Research on identification and prediction methods of air traffic congestion[D]. Tianjin:Tianjin University,2014
8 李善梅,徐肖豪,王超,等.基于灰色聚类的交叉航路拥挤识别方法[J].西南交通大学学报,2015,50(1):189-197Li Shanmei,Xu Xiaohao,Wang Chao,et al. Congestion identification of crossing air routes based on gray clustering method[J]. Journal of Southwest Jiaotong University,2015,50(1):189-197
9 蒋京芩,张洪海,邱启伦.终端区进场交通流空中交通拥挤状态评价方法[J].武汉理工大学学报(交通科学与工程版),2016,40(6):1043-1049Jiang Jingqin,Zhang Honghai,Qiu Qilun. Evaluating method of air traffic congestion state of approaching traffic flow in terminal areas[J]. Journal of Wuhan University of Technology(Transportation Science&Engineering),2016,40(6):1043-1049
10 祝付玲.城市道路交通拥堵评价指标体系研究[D].南京:东南大学,2006Zhu Fuling. Research on index system of urban traffic congestion measures[D]. Nanjing:Southeast University,2006
11 蒋金亮,宋瑞,李晋,等.基于DEA的城市道路交通拥堵评价[J].交通信息与安全,2011,29(3):10-14,19Jiang Jinliang,Song Rui,Li Jin,et al. Evaluating of urban roads congestion based on data envelopment analysis[J]. Journal of Traffic Information and Safty,2011,29(3):10-14,19
2 Sun D,Bayen A M. Multicommodity eulerian-lagrangian large-capacity cell transmission model for en route traffic[J]. Journal of Guidance Control&Dynamics,2008,31(3):616-628
3 Rehwald E,Hecker P. Airport centered flow management[C]//AIAA Aviation Technology,Integration,and Operations(ATIO)Conference. Reston:AIAA,2010:1-6
4 Grabbe S,Sridhar B,Mukherjee A. Clustering days with similar airport weather conditions[C]//AIAA Aviation Technology,Integration,and Operations Conference. Reston:AIAA,2014:1-16
5 赵嶷飞,陈凯,刘刚,等.一种新的扇区拥挤告警指标及应用[J].中国安全科学学报,2009,19(3):103-107Zhao Yifei,Chen Kai,Liu Gang,et al. A new flow alert for sector congestion and its application[J]. China Safety Science Journal,2009,19(3):103-107
6 田文,胡明华.空域拥挤风险管理时间决策模型与方法[J].南京航空航天大学学报,2011,43(4):565-571Tian Wen,Hu Minghua. Time decision making model and methodology for airspace congestion risk management[J]. Journal of Nanjing University of Aeronautics&Astronautics,2011,43(4):565-571
7 李善梅.空中交通拥挤的识别与预测方法研究[D].天津:天津大学,2014Li Shanmei. Research on identification and prediction methods of air traffic congestion[D]. Tianjin:Tianjin University,2014
8 李善梅,徐肖豪,王超,等.基于灰色聚类的交叉航路拥挤识别方法[J].西南交通大学学报,2015,50(1):189-197Li Shanmei,Xu Xiaohao,Wang Chao,et al. Congestion identification of crossing air routes based on gray clustering method[J]. Journal of Southwest Jiaotong University,2015,50(1):189-197
9 蒋京芩,张洪海,邱启伦.终端区进场交通流空中交通拥挤状态评价方法[J].武汉理工大学学报(交通科学与工程版),2016,40(6):1043-1049Jiang Jingqin,Zhang Honghai,Qiu Qilun. Evaluating method of air traffic congestion state of approaching traffic flow in terminal areas[J]. Journal of Wuhan University of Technology(Transportation Science&Engineering),2016,40(6):1043-1049
10 祝付玲.城市道路交通拥堵评价指标体系研究[D].南京:东南大学,2006Zhu Fuling. Research on index system of urban traffic congestion measures[D]. Nanjing:Southeast University,2006
11 蒋金亮,宋瑞,李晋,等.基于DEA的城市道路交通拥堵评价[J].交通信息与安全,2011,29(3):10-14,19Jiang Jinliang,Song Rui,Li Jin,et al. Evaluating of urban roads congestion based on data envelopment analysis[J]. Journal of Traffic Information and Safty,2011,29(3):10-14,19