Utilizing Traveler Demand Modeling to Predict Future Commercial Flight Schedules in the NAS

Utilizing Traveler Demand Modeling to Predict Future Commercial Flight Schedules in the NAS

Author(s):

J. Viken ( NASA Langley Research Center, Hampton, VA )

S. Dollyhigh ( Swales Aerospace, Hampton, VA )

J. Smith

A. Trani ( Virginia Polytechnic Institute and State University, Blacksburg, VA )

Publication title:

AIAA meeting papers on disc

Title of ser.:

AIAA Paper : Multidisciplinary Analysis and Optimization Conference

Ser. no.:

2006

Pub. Year:

2006

No.:

2006-7032

Paper no.:

AIAA Paper 2006-7032

Pub. info.:

Reston, Va: American Institute of Aeronautics and Astronautics

ISSN:

10877215

Language:

English

Call no.:

A07400/200621 [CD-ROM 2006 Disc 21]

Type:

Technical Paper

Details

TDL ID:	ZA00047250
Series ID:	PA00000051
Conf. info. (Name):	AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Conf. info. (Number):	11th
Conf. info. (Venue):	Portsmouth, Virginia
Conf. info. (Date):	2006.09.06-2006.09.08

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