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| Presentation | 2017-11-24 11:10 Predicting Trajectories with Course Change Points for Calculating Proximity-based Air Traffic Control Difficulty Indices Sakae Nagaoka, Mark Brown (ENRI/MPAT)  SANE2017-79 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In air traffic management, performance indices such as safety and complexity are required to be developed. As such an index, we proposed a metric associated with the difficulty of air traffic control based on the proximity situation of aircraft pairs. This metric reflects three-dimensional proximity assuming a linear aircraft trajectory with constant speed. Because of this assumption, the proximity situation for some cases may not be properly projected when course change points exist within the projected time horizon. To avoid this, we considered how to modify the method using course change point’s information. This paper reviews the method of calculation for estimating the difficulty values and describes algorithms for predicting trajectories based on the course change point’s information. The effectiveness of the method is demonstrated by a calculated example. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Complexity / Trajectory / Air Traffic Control / Difficulty Index / Proximity / Course change point / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 321, SANE2017-79, pp. 87-92, Nov. 2017. | |
| Paper # | SANE2017-79 | |
| Date of Issue | 2017-11-16 (SANE) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | SANE2017-79 |
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| Conference Information | |
| Committee | SANE |
| Conference Date | 2017-11-23 - 2017-11-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Malaysia (Borneo Island) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ICSANE2017 |
| Paper Information | |
| Registration To | SANE |
| Conference Code | 2017-11-SANE |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Predicting Trajectories with Course Change Points for Calculating Proximity-based Air Traffic Control Difficulty Indices |
| Sub Title (in English) | |
| Keyword(1) | Complexity |
| Keyword(2) | Trajectory |
| Keyword(3) | Air Traffic Control |
| Keyword(4) | Difficulty Index |
| Keyword(5) | Proximity |
| Keyword(6) | Course change point |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Sakae Nagaoka |
| 1st Author's Affiliation | Electronic Navigation Research Institute (ENRI/MPAT) |
| 2nd Author's Name | Mark Brown |
| 2nd Author's Affiliation | Electronic Navigation Research Institute (ENRI/MPAT) |
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| Speaker | Author-1 |
| Date Time | 2017-11-24 11:10:00 |
| Presentation Time | 20 minutes |
| Registration for | SANE |
| Paper # | SANE2017-79 |
| Volume (vol) | vol.117 |
| Number (no) | no.321 |
| Page | pp.87-92 |
| #Pages | 6 |
| Date of Issue | 2017-11-16 (SANE) |
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