Optimization of Aircraft Sequencing in Terminal Airspace

Research Problem

The terminal airspace surrounding airports is one of the most complex and congested parts of the air transportation system. Aircraft arriving and departing must follow structured procedures known as Standard Arrival Routes (STARs) and Standard Instrument Departures (SIDs).

Air traffic controllers must carefully sequence aircraft while maintaining safety separation and managing operational constraints. Inefficient sequencing can lead to increased fuel consumption, delays, airborne holding, and reduced runway throughput.

With increasing air traffic demand, more advanced decision-support tools are needed to optimize aircraft sequencing in terminal airspace operations.

Contributions

Our research develops fast optimization algorithms capable of determining optimal aircraft sequences and schedules in terminal airspace operations.

Key contributions include:

  • Optimization models that determine the optimal timing at each waypoint
  • Algorithms that account for operational interventions such as speed control, holding patterns, vectoring, and point-merge procedures
  • Integrated trajectory generation methods that ensure feasible flight paths
  • Rapid-evaluation tools for testing alternative terminal airspace configurations

These approaches help reduce delays and fuel consumption while improving runway throughput.

Selected Publications

Research Funding

  • National Research Foundation Singapore
    Optimising Terminal Airspace Operations under Varying TBO Scenarios
    Total Award: SGD 1,373,438

  • Civil Aviation Authority of Singapore
    Airfield and Airspace Management
    Total Award: SGD 720,000

  • National Research Foundation Singapore
    Resilient Airspace Operations for Singapore
    Total Award: SGD 398,722

Awards

  • Best Paper Award — AAAI Workshop on AI for Air Transportation (AI4AT) (2026)
  • Best Paper Award — INFORMS Air Transportation Section (2025)
  • Anna Valicek Silver Medal (AGIFORS) — Wayne Ng (2025)
  • Best Student Presentation — INFORMS Aviation (2023)