0


通过数据分析和建模改善空中交通运营

Improving Air Traffic Operations through Data Analysis and Modeling
课程网址: http://videolectures.net/cidu2011_balakrishnan_air_traffic/  
主讲教师: Hamsa Balakrishnan
开课单位: 麻省理工学院
开课时间: 2012-06-27
课程语种: 英语
中文简介:
过去几年对空中交通需求的增加伴随着国家空域系统(NAS)的延误。造成这些延误的主要原因是天气和交通量,特别是在机场附近。在本次演讲中,我将使用从机场地面和终端区域运营中抽取的示例来说明如何利用不同的数据来源(如地面监视系统和对流天气预报)来改善空域系统的性能。我将演示基于这些数据集的预测模型和算法的开发如何有助于实现更强大和环境友好的空中交通操作。
课程简介: The increase in demand for air traffic over the past several years has been accompanied by increased delays in the National Airspace System (NAS). The main causes of these delays have been weather and traffic volume, especially near airports. In this talk, I will use examples drawn from airport surface and terminal area operations to illustrate how different sources of data, such as surface surveillance systems and convective weather forecasts, can be leveraged to improve the performance of the airspace system. I will demonstrate how the development of predictive models and algorithms based on these data sets can help achieve more robust and environment-friendly air traffic operations.
关 键 词: 数据分析; 建模; 航空交通运输; 国家空域系统; 气候影响; 航运调整; 系统交互
课程来源: 视频讲座网
最后编审: 2019-09-30:chenxin
阅读次数: 68