پیوندهای مفید
آمار
| تعداد نشریات | 31 |
| تعداد شماره‌ها | 748 |
| تعداد مقالات | 7,112 |
| تعداد مشاهده مقاله | 10,245,928 |
| تعداد دریافت فایل اصل مقاله | 6,899,684 |
A macroscopic second order model for air traffic flow | ||
| Journal of Mathematical Modeling | ||
| مقاله 9، دوره 8، شماره 1، خرداد 2020، صفحه 41-54 اصل مقاله (1.46 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22124/jmm.2019.15035.1359 | ||
| نویسندگان | ||
| Mahboobeh Hoshyar Sadeghian؛ Mortaza Gachpazan* ؛ Nooshin Davoodi؛ Faezeh Toutounian | ||
| Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran | ||
| چکیده | ||
| In this paper, we introduce a new dynamic model for the air traffic flow prediction to estimate the traffic distribution for given airspaces in the future. Based on Lighthill-Whitham-Richards traffic flow model and the Newton's second law, we establish a nonlinear model to describe interrelationship and influential factors of the three characteristic parameters as traffic flow, density, and velocity. The upwind scheme is applied to perform the numerical simulations. Numerical results show that the proposed model can reproduce the evolution of shockwave, rarefaction wave, and small perturbation. | ||
| کلیدواژه‌ها | ||
| Air traffic flow؛ macroscopic model؛ LWR model؛ Newton's second law؛ upwind scheme | ||
|
آمار تعداد مشاهده مقاله: 1,018 تعداد دریافت فایل اصل مقاله: 1,278 |
||