Abstract
Flight planning is one of the essential factors of the airline operation. The selection of routes will determine the economic value of the flight. However, some conditions may prevent the flight to use the most optimum route due to airspace restriction or weather condition. The research aims to develop a search engine program that uses dynamic flight parameters that considers fusion of System Wide Information Management (SWIM) data including weather data and NOTAM to produce the most optimum route in 2D flight planning. The Dijkstra’s pathfinding is implemented in Python programming language to produce the flight plan. The navigation data used is enroute airway in Indonesian FIR regions. The scenario used is a flight from Jakarta to Makassar with duration of 2 hours flight with considering the effect of restricted airspace and weather blockage during in-flight. The study also uses the optimum route produced by the algorithm to be compared with the possible alternate routes to define how optimum the route is. Adding a restricted airspace parameter will result in a new optimum flight plan that able avoids the airspace and the most minimum distance. The effect of external wind parameter could influence the optimum route which may vary depends on the speed of the wind.
Highlights
Before departure, a flight needs to have a flight plan that indicates the route that the flight will cross to reach the destination
In the program as it cannot alter the speed depending on the route, so the change will affect in the distance instead, if the speed of the aircraft in that route increase that will decrease the distance, this happen when the aircraft is struggling to keep up the speed in particular route it will increase the Development and Analysis of 2D Flight Planning Search Engine Considering Fusion of Swim Data distance in this algorithm
Each case study consists of the optimum route generated by the algorithm implemented in Python programming language, the optimum route when airspace restriction is applied and route optimization analyses comparing the optimum route with the alternate routes selected
Summary
A flight needs to have a flight plan that indicates the route that the flight will cross to reach the destination. Flight planning is considering several parameters including departure and arrival airport, time, aircraft type, engine type, speed, flight level and weather condition. Another publication uses non-straight-line factors and air space restriction as a guide to formulate a better flight route for aircraft It resulted in a safer and efficient flight plan [8]. In the program as it cannot alter the speed depending on the route, so the change will affect in the distance instead, if the speed of the aircraft in that route increase that will decrease the distance, this happen when the aircraft is struggling to keep up the speed in particular route it will increase the Development and Analysis of 2D Flight Planning Search Engine Considering Fusion of Swim Data distance in this algorithm. Fuel calculation will be affected by all the flight planning parameters, including restriction airspace, and weather condition. It is the flight from SoekarnoHatta International Airport to Sultan Hasanuddin International Airport in Makassar, South Sulawesi
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