How Location Data Analytics is Cutting Queues and Congestions Across the Aviation Industry

How Location Data Analytics is Cutting Queues and Congestions Across the Aviation Industry

The World Aviation Festival has demonstrated that inefficiencies and waiting times at airports are not only despised by passengers, but pose a serious challenge for airlines and airport operations to improve their performance. In response, presenters and attendees alike celebrated the power of tech-driven innovation and shared high expectations for data analytics to tackle current challenges across the aviation industry.

In the beginning of September, Emu Analytics joined the aviation community at the World Aviation Festival in London. Since 2003, forwarding-thinking airlines, airports across the globe and industry leaders have been invited to present and discuss their experiences and perspectives on the digitalisation of the aviation industry.

Key decision makers such as Johan Lundgren (CEO of EasyJet), Stefan Schulte (CEO of Fraport) and Nicolas Notebaert (CEO of VINCI Airports) shared their views on upcoming challenges and highlighted the transformative potential of location data analytics. Delays and disruptions in aviation transport have been a major cause for headaches in the industry and have had detrimental effects on performance and costs.

Data insight as boost for airline efficiency

Lundgren, who proclaimed last year that EasyJet is keen “to become the world’s most data driven airline”, highlighted once again the importance of data insight to improve airline performance and growth.

By tapping into publicly available location data insights, EasyJet has accounted for their time management and improved efficiency. Through data tools, they could evaluate the efficiency of their own flight paths as well as identify the location and time of bottlenecks across routes they shared with their competitors.

Here at Emu Analytics we are familiar with this approach. In fact, during a project undertaken in 2018, flight path data (sourced from ) was analysed and visualised on behalf of a leading airline operator, using our software to understand the variable impact of restricted air space to airline operations.

Demand to integrate data analytics into airport ground services

However, this approach is not limited to just what happens in the air. Airports deal with other complex obstacles spanning from their geographical footprint in relation to passenger volume to the incorporation of their business clients into the airport infrastructure.

Airports are incredibly busy spaces, which must accommodate all levels of time management spanning from providing a seamless travel journey for passengers to the smooth transportations of cargo. As Head of Frankfurt Airport Stefan Schulte stated; “the first priority is to organise the airport without a queue”.

Achieving airport efficiency depends on responding to multiple factors. For instance, Heathrow London is one of the world’s central hubs of travel, whilst simultaneously being comparatively smaller in size to its competitors. This consequently makes Heathrow more prone to congestions. On the other hand, at Madrid-Barajas Airport, operations benefit from an expansive area, which is less likely to clog. Yet, these distances form a challenge in itself to deliver cargo in a timely manner.

A crucial part of this is the codependency between airlines, airports and other aviation actors. Often, with a lack of communication amongst different organisations working in one space, the involved parties can end up obstructing each other’s commitments. These issues will in turn affect the wider network leading to time-consuming and costly delays, queues and congestions.

It became clear at the World Aviation Festival that a data driven solutions are key. They will not only facilitate communication and the dissemination of data insights but will help airport ground services to act on emerging issues at the right time to ensure appropriate movement and positioning of operating vehicles.

Overcoming airport ground disruptions through data analytics & visualisation

More often than not, these problem already have a foundation for their solution in place: the resource of data location.

The number of vehicles and other moving objects equipped with location tracking devices continues to grow whilst generating a wealth of location data only waiting to be transformed into tangible insight. Yet with the range of different skills, roles and goals across aviation organisations, location data insight must be communicated in a way that is both comfortable for the technically savvy as well as the ones who shy away from databases and software applications. Hence, location data insights become invaluable to organisations when it is both accessible and actionable for everyone.

Location data insights become invaluable to organisations when it is both accessible and actionable for everyone.

Our real time location platform Flo.w seeks to unite all of these requirements by capturing, analysing and visualising relevant data. Thanks to IAG’s Hangar 51 programme which Emu Analytics won a place on in 2018, IAG Cargo has implemented Flo.w as a tool to solve issues of delays and disruptions at Heathrow airport. Flo.w enables IAG Cargo to transform their location data into immediate insight, to communicate it through an intuitive user interface and to assist in translating insight into the right decisions. Click here if you are interested in reading more about the case study we have put together on this subject.

Flo.w empowers its users to anticipate emerging interferences and expensive queuing by informing IAG Cargo operations to initiate the necessary adjustments. Through its real-time analytics and dashboard, it enables the monitoring, tracking and forecasting of movement of IAG Cargo’s ground handling vehicles and assets, empowering operations to take action in cutting queues and prevent disruptions.

If you would like to find out more about Flo.w and how it could help your airline or airport operation data more effectively get in touch with us at !