Int. J. of Industrial and Systems Engineering   »   2014 Vol.17, No.3

 

 

Title: A system architecture and implementation of simulation-based optimisation approach to improve airport surface operations

 

Authors: Wenbin Wei; Lawrence Davis; Chunsheng Fu; Victor H.L. Cheng; Anthony Y. Seo; Shuo Cao

 

Addresses:
Department of Aviation and Technology, San Jose State University, One Washington Square, San Jose, CA 95192-0061, USA
VGO Associates, 36 Low Street, Newbury, MA 01951, USA
VGO Associates, 36 Low Street, Newbury, MA 01951, USA
Optimal Synthesis Inc., 95 First Street, Suite 240, Los Altos, CA 94022, USA
University Affiliated Research Center (UARC), NASA Ames, Moffett Field, CA 94022, USA
Human Automation Integration Lab (HAIL), San Jose State University, One Washington Square, San Jose, CA 95192, USA

 

Abstract: The system architecture and implementations of a simulation-based optimisation approach to improve airport surface operations is introduced in this paper. We consider airport surface operations, including gate operations, taxiing on taxiways, and runway operations, as an integrated problem. The architecture consists of two major components: a fast-time simulator and an optimiser. A fast-time simulator is built to evaluate the feasibility and performance of solutions generated from the optimiser. The core component of the optimiser is the genetic algorithm. A shortest-path routing algorithm and some heuristic scheduling algorithms are also embedded in the optimiser. Our proposed simulation-based optimisation approach is applied to the case studies of the east side of the Dallas-Fort Worth (DFW) airport. Initial results have demonstrated the usefulness and benefit of our optimisation approach for improving airport surface operations.

 

Keywords: airport surface operations; simulation; optimisation; genetic algorithms; fast-time simulator; airports; gate operations; aircraft taxiing; runway operations; shortest-path routing; heuristic scheduling.

 

DOI: 10.1504/IJISE.2014.062542

 

Int. J. of Industrial and Systems Engineering, 2014 Vol.17, No.3, pp.329 - 349

 

Available online: 10 Jun 2014

 

 

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