An improved weather impacted traffic index model based on fuzzy theory-Reference-Cited by-同舟云学术

An improved weather impacted traffic index model based on fuzzy theory

Published:2022-04-14 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers
language:
Short-container-title:

Author:

Xie Lei¹,Zou Xiang¹,Wang Yingqi²,Su Gang¹

Affiliation:

1. Second Research Institute of Civil Aviation Administration of China, China

2. Office of Air Traffic Regulation of Civil Aviation Administration of China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544109.3544114

Reference16 articles.

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3. Civil aviation administration of China . 2018 annual report of civil aviation industry of China [R] , 2018 . Civil aviation administration of China. 2018 annual report of civil aviation industry of China [R], 2018.

4. M. Callaham , J. DeArmon , A. Cooper , Assessing NAS performance: normalizing for the effects of weather[C]// 4th USA/Europe ATM R&D Seminar. Santa Fe . 2001 . M. Callaham, J. DeArmon, A. Cooper, Assessing NAS performance: normalizing for the effects of weather[C]// 4th USA/Europe ATM R&D Seminar. Santa Fe. 2001.

5. A. Klein , L. S. Cook , B. Wood, Airspace capacity estimation using flows and weather-impacted traffic index[C]// 2008 Integrated Communications , Navigation and Surveillance Conference. Bethesda. 2008 . A. Klein, L. S. Cook, B. Wood, Airspace capacity estimation using flows and weather-impacted traffic index[C]// 2008 Integrated Communications, Navigation and Surveillance Conference. Bethesda. 2008.

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