A Review for Aircraft Landing Problem
نویسندگان
چکیده
منابع مشابه
An exact algorithm for Aircraft Landing Problem
This paper addresses the problem of scheduling aircraft landings at an airport. Given a set of planes and runways, the objective is to minimize the total (weighted) deviation from the target landing time for each plane. There are costs associated with landing either earlier or later than a target landing time for each plane. Each plane has to land on one of the runways within its predetermined ...
متن کاملA dynamic programming approach for the aircraft landing problem with aircraft classes
The capacity of a runway system represents a bottleneck at many international airports. The current practice at airports is to land approaching aircraft on a first-come, first-served basis. An active rescheduling of aircraft landing times increases runway capacity or reduces delays. The problem of finding an optimal schedule for aircraft landings is referred to as the “aircraft landing problem”...
متن کاملScatter Search and Bionomic Algorithms for the aircraft landing problem
The problem of deciding how to land aircraft approaching an airport involves assigning each aircraft to an appropriate runway, computing a landing sequence for each runway and scheduling the landing time for each aircraft. Runway allocation, sequencing and scheduling for each aircraft must ensure the scheduled landing time lies within a predefined time window and meet separation time requiremen...
متن کاملHybrid Algorithms for the Multiple Runway Aircraft Landing Problem
Over the past few decades, air traffic has experienced a tremendous Growth. However, as the air traffic develops, the limitation of the runway becomes the bottleneck during the airport operation and scheduling aircraft landing present a complex daily task encountered by most air traffic control towers. In this paper, we study the Multiple Runway case of the Aircraft Landing Problem (MRALP), whi...
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ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2018
ISSN: 2261-236X
DOI: 10.1051/matecconf/201817903016