Antonio A. Trani

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Hanif D. Sherali • J. Cole Smith • Antonio A. Trani Grado Department of Industrial and Systems Engineering (0118), Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061 Department of Systems and Industrial Engineering, University of Arizona, Tucson, Arizona 85721 Charles Edward Via, Jr. Department of Civil and Environmental(More)
ciently handling aircraft taxiway operations at airports. The suggested strategy is based on the incremental assignment technique that is frequently adopted in many urban transportation studies. The method assumes that the current aircraft route is influenced by previous recent aircraft assignments in the network. This simplified assumption obviates the(More)
formance on runways to locate high-speed exits is presented. A Monte Carlo simulation algorithm and empirical heuristics derived from field observations were used to estimate landing-roll trajectories that can be programmed quickly in a personal computer. The modeling process demonstrates statistically the validity of treating landing-roll profiles of(More)
Hanif D. Sherali • Raymond W. Staats • Antonio A. Trani Grado Department of Industrial and Systems Engineering (0118), Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061 Department of Operational Sciences, Air Force Institute of Technology, Wright Patterson AFB, Ohio 45433 Charles Edward Via, Jr. Department of Civil and(More)
I Part I of this paper, we presented a large-scale airspace-planning and collaborative decision-making (APCDM) model that is part of a Federal Aviation Administration (FAA)-sponsored effort to enhance the management of the National Airspace System (NAS). Given a set of flights that must be scheduled during some planning horizon, along with alternative(More)
We measured the skeletal effects of Herbst appliance treatment in a retrospective sample of 25 boys (aged 10.7-14.5 years) and 25 girls (aged 10.7-14.3 years). Selection criteria were (1) a pretreatment full Class II molar relationship (ANB angle: average, 6.7 degrees; range, 2.5-10.5 degrees) and (2) a posttreatment full Class I or overcorrected Class I(More)
........................................................................................ ii ACKNOWLEDGEMENTS........................................................................ v TABLE OF CONTENTS............................................................................vi TABLE OF(More)
The purpose of this paper is to present a simplified method to estimate aircraft fuel consumption using an artificial neural network. The models developed here are can be implemented in fast-time airspace and airfield simulation models. A representative neural network aided fuel consumption model was developed using data given in the aircraft performance(More)