Generation of Conflict Resolution Maneuvers for Air Traffic Management

Kosecka, Jana; Tomlin, Claire; Pappas, George; Sastry, Shankar

doi:10.21949/1403832

i

Generation of Conflict Resolution Maneuvers for Air Traffic Management

1997-01-01
By Kosecka, Jana ; Tomlin, Claire ; Pappas, George

File Language:

English

Details

Creators:

Kosecka, Jana ; Tomlin, Claire ; Pappas, George ; Sastry, Shankar
Corporate Creators:

University of California, Berkeley
Corporate Contributors:

United States. Army Research Office ; United States. National Aeronautics and Space Administration
Subject/TRT Terms:
DOI:

https://doi.org/10.21949/1403832
Resource Type:

Proceedings
Geographical Coverage:

United States
Corporate Publisher:

University of California, Berkeley. Robotics and Intelligent Machines Laboratory. Air Traffic Management Systems Program
Description:

We explore the use of distributed on-line motion planning algorithms for multiple mobile agents, in Air Traffic Management Systems (ATMS). The work is motivated by current trends in ATMS to move towards decentralized air traffic management, in which the aircraft operate in "free flight" mode instead of following prespecified "sky freeways". Conflict resolution strategies are an integral part of the free flight setting. In TPS96, a set of predefined coordination maneuvers has been proposed. The purpose of this paper is to extend this set of maneuvers to cover all possible conflict scenarios involving multiple agents. A distributed motion planning algorithm based on potential and vortex fields is used. While the algorithm is not always guaranteed to generate flyable trajectories, the obtained trajectories can serve as qualitative prototypes for coordination maneuvers between multiple aircraft. The actual maneuvers are generated by approximating these prototypes with trajectories made up of straight lines and arcs of circles.
Format:

PDF
Funding:

DAAH04-96-1-0341 ; NAG 2-1039
Download URL:

https://rosap.ntl.bts.gov/view/dot/34159/dot_34159_DS1.pdf
File Type:

[PDF - 583.59 KB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:7dc68ea240e802e67133467f051e9dd37b436e56d9e63b4d29d8519cfe92a41a

File Language:

English

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