Events

Intelligent mobility in aerospace industry

Date: 22-01-2021
Time: 12:00 - 13:00
Venue: Online
Organiser: Professor Huseyin Seker (Associate Dean (Research & Enterprise) and Academic Lead for SCIMIA project)

Disruption costs the air transport industry in excess of $25 billion each year. With demand for air travel expected to more than double by 2040, reducing the impact of flight disruption remains a key issue. There is a shift in focus from “reactive” disruption recovery to “proactive” systems that can predict and mitigate disruption before it hits.

Disruption management is a complex problem requiring integration and interpretation of large quantities of data. In the future, everything will be connected and emitting data: the location of every aircraft, passenger, bag, piece of cargo, staff member, and asset. Even today, huge quantities of data are available and the question remains: how do we leverage advances in Artificial Intelligence (AI) and cloud computing to harness the power of increasing industry data to make smarter decisions, earlier?

Using the state-of-art machine learning algorithms and cloud platforms, it is possible to create intelligent platforms that are able to predict flight delays in advance. Cloud storage and messaging services enable the storage and use of vast quantities of historical and real-time flight movement, weather and airport data. As an example useful data source, there’s NOTAMs (notices to airmen) which is a service that essentially broadcasts cryptic information notices to pilots. NOTAMs can provide information on runway closure that is going to affect taxi time and ultimately cause flight delays. After the data is ingested, it needs to be engineered and converted into structured format so that useful information can be extracted out of raw data. By using scalable virtual computing capacity, we can then build, train and deploy machine learning models and automate many of our ML models. In operation, we collect data in the form of logs, metrics, and events to track and monitor the performance of our prediction service.

The air transport industry is ready for new, innovative solutions to tackle the disruption problem, underpinned by the latest advances in data science and cloud-based technology.