Chandra, A and Hazra, S and Verma, A and Sooraj, KP (2024) On the Possibilities of Efficient Air Traffic Monitoring through Complex Network Clustering Based Airspace Sub-Sectorization: A Multi-Objective Discrete Particle Swarm Optimization Approach. In: Transportation Research Record .
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This study models the airspace sub-sectorization problem as a multi-objective complex network clustering problem. A decomposition-based discrete particle swarm optimization (DPSO) algorithm is then used to solve the problem, followed by applying the minimum bounding geometry method to design convex and compact boundaries. An Indian airspace sector was considered to validate the proposed framework. The waypoints and routes within the sector were represented as a network graph, and discretized traffic loads were randomly allotted to the vertices to guide the DPSO. The maximum number of generations or iterations was set as the termination criteria. The proposed approach generates clusters that result in all sub-sectors having a medium traffic load, ensuring equity that is difficult to achieve. This framework offers enough flexibility to avoid several strict constraints, thereby reducing the problem�s complexity. Moreover, the proposed framework improves the adaptability of sub-sectors to network evolution and traffic conditions, recognizing the hierarchical characteristics of air transport networks. The present research also motivates several research opportunities and possibilities for future air traffic management systems. © The Author(s) 2024.
| Item Type: | Journal Article |
|---|---|
| Publication: | Transportation Research Record |
| Publisher: | SAGE Publications Ltd |
| Additional Information: | The copyright for this article belongs to the publisher. |
| Keywords: | Air navigation; Air transportation; Complex networks; Multiobjective optimization; Particle swarm optimization (PSO), Air Traffic Management; Airfield and airspace capacity and delay; Airfield capacities; Airspace capacity; Capacity delay analyse; Complex network clustering; Delay analysis; Multi objective; Optimisations; Sectorization, Air traffic control |
| Department/Centre: | Division of Mechanical Sciences > Civil Engineering |
| Date Deposited: | 03 Sep 2024 04:11 |
| Last Modified: | 03 Sep 2024 04:11 |
| URI: | http://eprints.iisc.ac.in/id/eprint/86027 |
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