Paielli, R. A., & Erzberger, H. (1996). Conflict Probability Estimation for Free Flight. Ames Research Center. https://doi.org/10.21949/1403482
Paielli, Russell A. and Heinz Erzberger. Conflict Probability Estimation for Free Flight. Ames Research Center, 1996. https://doi.org/10.21949/1403482.
Paielli, Russell A., and Heinz Erzberger Conflict Probability Estimation for Free Flight. Ames Research Center, 1996, ROSA P. https://doi.org/10.21949/1403482.
The safety and efficiency of free flight will benefit from automated conflict prediction and resolution advisories. Conflict prediction is based on trajectory prediction and is less certain the farther in advance the prediction, however. An estimate is therefore needed of the probability that a conflict will occur, given a pair of predicted trajectories and their levels of uncertainty. This paper presents a method to estimate that conflict probability. The trajectory prediction errors are modeled as normally distributed, and the two error covariances for an aircraft pair are combined into a single, equivalent covariance of the relative position. A coordinate transformation is then used to derive an analytical solution. Numerical examples and a Monte Carlo validation are presented.
Content Notes:
This paper was published in the Journal of Guidance, Control, and Dynamics, vol. 20, no. 3, May-June 1997, pp.588-596.
Paielli, R. A., & Erzberger, H. (1996). Conflict Probability Estimation for Free Flight. Ames Research Center. https://doi.org/10.21949/1403482
Paielli, Russell A. and Heinz Erzberger. Conflict Probability Estimation for Free Flight. Ames Research Center, 1996. https://doi.org/10.21949/1403482.
Paielli, Russell A., and Heinz Erzberger Conflict Probability Estimation for Free Flight. Ames Research Center, 1996, ROSA P. https://doi.org/10.21949/1403482.
ROSA P serves as an archival repository of USDOT-published products including scientific
findings, journal articles, guidelines, recommendations, or other information authored or co-authored by
USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to
ensure public access to scientific information.
Links with this icon indicate that you are leaving a Bureau of Transportation
Statistics (BTS)/National Transportation Library (NTL)
Web-based service.
Thank you for visiting.
You are about to access a non-government link outside of
the U.S. Department of Transportation's National
Transportation Library.
Please note: While links to Web sites outside of DOT are
offered for your convenience, when you exit DOT Web sites,
Federal privacy policy and Section 508 of the Rehabilitation
Act (accessibility requirements) no longer apply. In
addition, DOT does not attest to the accuracy, relevance,
timeliness or completeness of information provided by linked
sites. Linking to a Web site does not constitute an
endorsement by DOT of the sponsors of the site or the
products presented on the site. For more information, please
view DOT's Web site linking policy.
To get back to the page you were previously viewing, click
your Cancel button.