AI Use Case

Augment traffic control processes at (air)ports

Support management of real time data and decision-making in traffic control - for example at airports. Automatic data flows from key assets and data modelling enhanced from multiple sources (e.g. weather models) help with flow optimisation, operator support and risk prediction.

Function

Benefits

Operational - Network optimisation,Risk reduction - Real time awareness,Risk reduction - Clear decision trails

Case Studies

Southwest Airlines~Southwest Airlines improves safety and preventes flight anomalies with machine learning,United Airlines~United Airlines manages overbooking issues and last minute changes in flyer travel plans with machine learning,Fort Lauderdale-Hollywood International Airport~FLL monitors aircraft movement and gets accurate status reports for gates with machine vision and natural language processing,Huawei~Huawei launches operating system for smart cities using AI ,Heathrow~Heathrow Airport tackles delays due to bad weather with the use of AI ,Port of Rotterdam~The Port of Rotterdam Authority reduces vessel waiting times by 20% with machine learning

Industry

Transportation

Airlines

Data Sets

Structured / Semi-structured

AI Technologies

Machine Learning (ML),Traditional AI,ML Task - Action Selection - Reinforcement Learning

Potential Vendors

IBM,Port of Rotterdam Authority