A heuristic approach to greener airport ground movement

Chen, Jun, Weiszer, Michal, Atkin, Jason , Ravizza, Stefan and Stewart, Paul (2014) A heuristic approach to greener airport ground movement. In: IEEE World Congress on Computational Intelligence 2014, 6-11 July 2014, Beijing, China.

Full text not available from this repository.

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


Ever increasing air traffic, rising costs and tighter environmental targets create a pressure for efficient airport
ground movement. Ground movement links other airport operations such as departure sequencing, arrival sequencing and gate/stand allocation and its operation can affect each of these. Previously, reducing taxi time was considered the main objective of the ground movement problem. However, this may conflict with efforts of airlines to minimise their fuel consumption as shorter taxi time may require higher speed and acceleration during taxiing. Therefore, in this paper a multi-objective multicomponent optimisation problem is formulated which combines two components: scheduling and routing of aircraft and speed profile optimisation. To solve this problem an integrated solution method is adopted to more accurately investigate the trade-off between the total taxi time and fuel consumption. The new heuristic which is proposed here uses observations about the characteristics of the optimised speed profiles in order to greatly improve the speed of the graph-based routing and scheduling algorithm. Current results, using real airport data, confirm that this approach can find better solutions faster, making it very promising for application within on-line applications.

Keywords:Airport ground movement, Multiobjective Optimisation
Subjects:G Mathematical and Computer Sciences > G200 Operational Research
Divisions:College of Science > School of Engineering
Related URLs:
ID Code:14254
Deposited On:06 Jun 2014 10:25

Repository Staff Only: item control page