Flight Radius Algorithms

Abstract : In this article, we present the flight radius problem (FRP) on the condensed flight network (CFN). Then, giving a specific flight that is defined by an origin and destination (OD) pair, the problem consists in finding routes that connect the OD pair and satisfy a regret constraint on time, distance or cost. The found routes help airline manager to find business opportunities. This problem arises in the real world, for instance in some air transportation companies. The FRP is formulated as finding a maximal subgraph of nodes belonging to routes satisfying a regret constraint. Such routes can be found using shortest paths algorithms (SPA). The CFN is generated using a time-independent approach and stored in the graph database Neo4j. Implementing SPA in Neo4j is challenging since the graph database stores the weights of the graph in a separate data structure. In this paper, we propose four methods to solve the FRP: these methods combine parallel and sequential processing with more optimization to overcome time and memory costs. The experimental evaluation demonstrates that the best algorithm is the extended Dijkstra algorithm which meets the real-time constraints of the targeted industrial application.
Document type :
Conference papers
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-02069634
Contributor : Assia Kamal Idrissi <>
Submitted on : Friday, March 15, 2019 - 5:30:53 PM
Last modification on : Friday, March 29, 2019 - 2:44:02 AM

File

FlighRadiusAlgorithms.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02069634, version 1

Collections

Citation

Assia Kamal Idrissi, Arnaud Malapert, Rémi Jolin. Flight Radius Algorithms. 8th International Conferance on Operations Research and Entreprise Systems, Feb 2019, Prague, Czech Republic. ⟨hal-02069634⟩

Share

Metrics

Record views

12

Files downloads

26