Name
Abstract | ||
|---|---|---|
AbstractComputer simulations are widely used to design and evaluate air traffic systems. A fast time simulation capability is essential to effectively explore the consequences of decisions in airspace design, air traffic management, and operations. A parallel simulation approach is proposed to accelerate fast time simulation of air traffic networks that exploits both temporal and spatial parallelisms. A time-parallel algorithm is first described that simulates different time intervals concurrently and uses a fix up computation that exploits the scheduled nature of commercial air traffic to address the problem of dependencies between time segments. The time-parallel algorithm is then extended with a space-parallel simulation approach using Time Warp to simulate each time segment in parallel thereby increasing the amount of parallelism that can be exploited. The time and space-parallel algorithms are evaluated using a simulation of the U.S. National Airspace System (NAS). Experimental data is presented demonstrating that this approach can achieve greater acceleration than what can be achieved by exploiting time-parallel or space-parallel simulation techniques alone. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1177/0037549719831358 | Periodicals |
Keywords | Field | DocType |
Time-parallel simulation,air traffic simulation,space-parallel simulation | Parallel simulation,Air traffic control,Computer science,Simulation,Spacetime,Real-time computing,Airspace class | Journal |
Volume | Issue | ISSN |
95 | 12 | 0037-5497 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young-Jin Kim | 1 | 25 | 10.67 |
| Dimitri N. Mavris | 2 | 50 | 14.47 |
| Richard M. Fujimoto | 3 | 3570 | 372.88 |