Scientists conducting polar research in Antarctica must contend with harsh environmental conditions that constrain their movements and raise their costs. One on going challenge is choosing cache sites for aircraft refueling. Given a data-gathering mission (e.g. set of flight destinations), aircraft fuel-consumption model, and infrastructure (e.g. base and cache-sites), the Fuel-Cache Site-Selection (FCSS) problem identifies the optimal use of cache sites to fulfill the mission. The FCSS problem is important for planning expeditions in infrastructure-poor areas for scientific or military purposes. However, the FCSS problem is computationally challenging due to interaction across different flight-routes. Related approaches from literature concerning routing are inadequate due to assumptions about the cost of providing infrastructure. This paper proposes heuristics and a filter-and-refine based exact algorithm, evaluation using analytical and experimental methods, and a case study with end-users, e.g. polar scientists.
|Title of host publication
|IWCTS 2009 - Proceedings of the 2nd International Workshop on Computational Transportation Science, in Conjunction with ACM SIGSPATIAL GIS 2009
|Number of pages
|Published - 2009
|2nd International Workshop on Computational Transportation Science, in Conjunction with ACM SIGSPATIAL GIS 2009, IWCTS 2009 - Seattle, WA, United States
Duration: Nov 3 2009 → Nov 3 2009
|GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
|2nd International Workshop on Computational Transportation Science, in Conjunction with ACM SIGSPATIAL GIS 2009, IWCTS 2009
|11/3/09 → 11/3/09
Bibliographical noteFunding Information:
The authors gratefully acknowledge the financial National Institutes of Health (GM40111).