Aircraft trajectory prediction made easy with predictive analytics

S Ayhan, H Samet - Proceedings of the 22nd ACM SIGKDD International …, 2016 - dl.acm.org
At the heart of Air Traffic Management (ATM) lies the Decision Support Systems (DST) that
rely upon accurate trajectory prediction to determine how the airspace will look like in the …

Demystifying data-driven and pausible clocking schemes

R Mullins, S Moore - 13th IEEE International Symposium on …, 2007 - ieeexplore.ieee.org
VLSI systems are often constructed from a multitude of independently clocked synchronous
IP blocks. Unfortunately, while a synchronous design style may produce efficient block level …

Predicting estimated time of arrival for commercial flights

S Ayhan, P Costas, H Samet - Proceedings of the 24th ACM SIGKDD …, 2018 - dl.acm.org
Unprecedented growth is expected globally in commercial air traffic over the next ten years.
To accommodate this increase in volume, a new concept of operations has been …

Mobile robot path planning with a moving goal

D Drake, S Koziol, E Chabot - IEEE Access, 2018 - ieeexplore.ieee.org
Path planners, in which a hunter is required to chase after a moving target, are an important
problem for robotic systems such as unmanned aerial vehicles and unmanned underwater …

Prescriptive analytics system for long-range aircraft conflict detection and resolution

S Ayhan, P Costas, H Samet - … of the 26th ACM SIGSPATIAL international …, 2018 - dl.acm.org
At the present time, there is no mechanism for Air Navigation Service Providers (ANSPs) to
probe new flight plans filed by the Airlines Operation Centers (AOCs) against the existing …

Time series clustering of weather observations in predicting climb phase of aircraft trajectories

S Ayhan, H Samet - Proceedings of the 9th ACM SIGSPATIAL …, 2016 - dl.acm.org
Reliable trajectory prediction is paramount in Air Traffic Management (ATM) as it can
increase safety, capacity, and efficiency, and lead to commensurate fuel savings and …

Efficiently computing top-k shortest path join

L Chang, X Lin, L Qin, JX Yu, J Pei - EDBT 2015-18th …, 2015 - opus.lib.uts.edu.au
Driven by many applications, in this paper we study the problem of computing the top-k
shortest paths from one set of target nodes to another set of target nodes in a graph, namely …

Effective and efficient: Large-scale dynamic city express

S Zhang, L Qin, Y Zheng, H Cheng - Proceedings of the 23rd …, 2015 - dl.acm.org
City express services are in great demand in recent years. However, the current city express
system is found to be unsatisfactory for both the service providers and customers. In this …

Diclerge: Divide-cluster-merge framework for clustering aircraft trajectories

S Ayhan, H Samet - Proceedings of the 8th ACM SIGSPATIAL …, 2015 - dl.acm.org
Whether descriptive, predictive or prescriptive, most analytics applications pertaining to
aircraft trajectory data require clustering to group similar trajectories and discovering a …

Group processing of multiple k-farthest neighbor queries in road networks

HJ Cho, M Attique - IEEE Access, 2020 - ieeexplore.ieee.org
Advances in mobile technologies and map-based applications enables users to utilize
sophisticated spatial queries, including k-nearest neighbor and shortest path queries. Often …