DocumentCode
1429532
Title
A review of conflict detection and resolution modeling methods
Author
Kuchar, James K. ; Yang, Lee C.
Author_Institution
MIT, Cambridge, MA, USA
Volume
1
Issue
4
fYear
2000
fDate
12/1/2000 12:00:00 AM
Firstpage
179
Lastpage
189
Abstract
A number of methods have been proposed to automate air traffic conflict detection and resolution (CDR), but there has been little cohesive discussion or comparative evaluation of approaches. The paper presents a survey of 68 CDR modeling methods, several of which are currently in use or under operational evaluation. A framework that articulates the basic functions of CDR is used to categorize the models. The taxonomy includes: dimensions of state information (vertical, horizontal, or three-dimensional, 3-D); method of dynamic state propagation (nominal, worst case, or probabilistic); conflict detection threshold; conflict resolution method (prescribed, optimized, force field, or manual); maneuvering dimensions (speed change, lateral, vertical, or combined manoeuvres); and management of multiple aircraft conflicts (pairwise or global). An overview of important considerations for these and other CDR functions is provided, and the current system design process is critiqued
Keywords
air traffic control; probability; state estimation; air traffic; conflict detection; conflict resolution; dynamic state propagation; maneuvering dimensions; modeling methods; state information; Aerospace control; Air safety; Air traffic control; Aircraft; Automation; Humans; Intelligent transportation systems; NASA; Space technology; Traffic control;
fLanguage
English
Journal_Title
Intelligent Transportation Systems, IEEE Transactions on
Publisher
ieee
ISSN
1524-9050
Type
jour
DOI
10.1109/6979.898217
Filename
898217
Link To Document