Airports are large environments constituted by very different realities: passengers, baggage, airplanes, handling systems, control instruments, specialized personnel, services, and many others. There are many opportunities for applying data analytics techniques in this context.
- Flow forecasting: it allows to estimate in advance how many passengers will pass through a specific area of the airport in a particular time slot, how many bags will need to be moved, how many parking spaces will be occupied, how many auxiliary services will be required, and so on.
- Analysis and dimensioning: it is possible to use ad hoc simulators and data-driven algorithms in order to dimension baggage handling systems, accumulation buffers, resources required for passenger transport, waiting areas, service personnel, etc...
- - Scheduling and dispatching: the objective is to schedule operations and assign the most appropriate resources to avoid inefficiencies and downtime. It is possible to dynamically control the activities of operators (staff at check-in, security checks, assistance to persons with reduced mobility, ramp operations, etc.), and automated systems (stops for preventive maintenance, baggage redirection, etc.) to maximize service levels and responsiveness.
Rely on our professional services in Data Driven.
Major decisions are always linked to high investment costs or the need to quickly choose between different alternatives, without the ability to easily retrace one's steps.
Two factors are essential for making appropriate choices: experience and information. In particular, when sufficient data is available, problems can be approached by following a quantitative approach, taking advantage of skills, models, and algorithms developed specifically for decision support.
With our expertise in simulation, mathematical optimization, and forecasting, we are able to help clients in their search for the best data-driven solutions.
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