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Advanced Forecasting System for Proactive Airport Passenger Flow Management

Amorph Systems has developed AMORPH.aero, a solution able to provide continuous, accurate, near-term forecasts of passenger flows. Unlike competitors using process flow-oriented models based on static mathematical values, the solu... see more

31/01/2019

Amorph Systems

2M€

Project Budget: 2M€

Project leader

AMORPH SYSTEMS GMBH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo H2020 notifico la concesión del proyecto The day 2019-01-31

SMEInst-10-2016-2017: Small business innovation research...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

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2 Participantes

Amorph Systems

1.46M€ | Leader

AMORPH SYSTEMS SRL

1.06M€ | participant

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Project duration: 30 months Date Start: 2016-07-25
End date: 2019-01-31

Project leader

AMORPH SYSTEMS GMBH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 2M€

participation deadline Sin fecha límite de participación.

Project description Amorph Systems has developed AMORPH.aero, a solution able to provide continuous, accurate, near-term forecasts of passenger flows. Unlike competitors using process flow-oriented models based on static mathematical values, the solution supports dynamic calculations based on the actual demand of passengers compared with the available resources. This is critical for airport operations to get always accurate information based on the current availability and schedule of staff and the results of operational actions regarding the passenger flow. The business case developed for Frankfurt Airport showed that the solution can increase maximum passenger capacity by 15% and passenger average throughput by 10%, leading to a 28% reduction in infrastructure expansion costs. In addition, the solution showed it can decrease passenger processing time by up to 20%, thus increasing retail dwelling time, retail spending and passenger satisfaction. The accuracy of the prototype was verified at 90% for the nearest 2 hours, allowing operations management to avoid forecasted problems in time. A phase 1 market feasibility study conducted in 2015 identified 3 airports that will deploy a large-scale trial of the solution (Stuttgart, Milan and Manchester) in phase 2. In addition, SITA, the leading airport IT system integrator, will integrate the solution into its business intelligence portal and manage one of the trials with the aim to become a distributor for the solution worldwide, supporting a revenue forecast of €9M by 2020, 3 years after market launch. The project has a duration of 24 months and a requested EC contribution of €1.5M

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