USING ARTIFICIAL INTELLIGENCE AND SOFTWARE-DEFINED NETWORKING (SDN) TO IMPROVE PASSENGER FLOW AND NETWORK EFFICIENCY IN AIRPORT LANDSIDE AREAS


Andreea PALAȘCĂ1, Augustin SEMENESCU2, Ion Nicolae STĂNCEL3

 

Abstract. Congestion caused by high passenger numbers in critical airport areas, such as lanside areas, creates significant challenges to operational stability and service delivery. The paper presents a new interpretation of a system with a systematic approach to improve such congested environments through the synergy of Artificial Intelligence (AI) and Software Defined Networks (SDN) to create an intelligent system that performs real-time analyses of passenger flow, occupancy levels and dwell times through digital image processing. The authors’ main contribution is represented by the transformation of these analyses into actionable network policies that an SDN controller performs, thus enabling dynamic, policy-based traffic routing to ensure that mission-critical, passenger-oriented applications (self-check-in machines, information screens) and the necessary connectivity (access points) receive a deprioritized bandwidth allocation during periods of excessive congestion. The paper therefore presents the system architecture, applied algorithms and supporting technological components. It also validates the solution’s performance through real-world usage scenarios, thus demonstrating increased operational efficiency by reducing resource conflicts and improving the passenger experience by maintaining stable access to necessary digital services.

Keywords: SDN, airport management, landside operations, passenger flow simulation.

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DOI 10.56082/annalsarscieng.2025.2.126

 

1 Andreea PALAȘCĂ, Phd. Student., National University of Science and Technology POLITEHNICA Bucharest, 313 Splaiul Independentei, 060042, Bucharest, Romania, andreea.stancel@stud.fiir.upb.ro;

2 Augustin SEMENESCU, Prof. National University of Science and Technology POLITEHNICA Bucharest, 313 Splaiul Independentei, 060042, Bucharest, Academy of Romanian Scientists, str Ilfov no.3, Bucharest Romania, augustin.semenescu@upb.ro;

3 Ion Nicolae STĂNCEL, Lecturer, Phd. Eng., National University of Science Technology POLITEHNICA Bucharest, 313 Splaiul Independentei, 060042, Bucharest, Romania, ion.stancel@upb.ro


PUBLISHED in Annals of the Academy of Romanian Scientists Series on EngineeringVolume 17, No2