Muhammad Saad

Academic

Career

Verbatim text

The Autonomous Flight Supervisor 
The Autonomous Flight Supervisor (TAFS) is an Artificial Intelligent agent designed to aid and 
augment the operations of Air Traffic Controllers (ATCOs) during Approach and Departure phases of 
flights. Air Traffic Control (ATC) is a highly complex, laborious, and error prone process which 
requires the careful monitoring of entire teams to ensure flights travel safely and smoothly. TAFS 
automates some of the routine tasks of ATC during Approach & Departure via Knowledge Graphs 
and also presents a novel rule-based algorithm for Conflict Resolution in the said phases.   
Features include: 
❏ SID/STAR assignment based on runway, traffic, distance, destination/origin, and wind 
❏ Runway vectoring for incoming flights 
❏ Conflict Detection 
❏ Conflict Resolution for flights that have lost separation 
❏ Detection of false positives during Conflict Resolution 
  TAFS achieves humanlike performance on several metrics and traffic conditions.  
 
 
 
 
 
 
 
 
 
 
Technology Used: 
Python, JavaScript, Neo4j, CypherQL, openScope 
Supervisor Name: 
Ms. Amna Basharat 
Group Members:   
Muhammad Saad (i17 - 0033) 
Muhammad Soban (i11 - 0058) 
Muhammad Rassam (i17 - 0258)