AERFOR | Advanced Forecasting System for Proactive Airport Passenger Flow Management

Summary
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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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/731246
Start date: 01-11-2016
End date: 31-01-2019
Total budget - Public funding: 2 090 000,00 Euro - 1 463 000,00 Euro
Cordis data

Original 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

Status

CLOSED

Call topic

SMEInst-10-2016-2017

Update Date

27-10-2022
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Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
H2020-EU.2.1.1.0. INDUSTRIAL LEADERSHIP - ICT - Cross-cutting calls
H2020-SMEINST-1-2016-2017
SMEInst-10-2016-2017 Small business innovation research for Transport and Smart Cities Mobility
H2020-SMEINST-2-2016-2017
SMEInst-10-2016-2017 Small business innovation research for Transport and Smart Cities Mobility
H2020-EU.2.3. INDUSTRIAL LEADERSHIP - Innovation In SMEs
H2020-EU.2.3.1. Mainstreaming SME support, especially through a dedicated instrument
H2020-SMEINST-1-2016-2017
SMEInst-10-2016-2017 Small business innovation research for Transport and Smart Cities Mobility
H2020-SMEINST-2-2016-2017
SMEInst-10-2016-2017 Small business innovation research for Transport and Smart Cities Mobility
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.4. SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
H2020-EU.3.4.0. Cross-cutting call topics
H2020-SMEINST-1-2016-2017
SMEInst-10-2016-2017 Small business innovation research for Transport and Smart Cities Mobility
H2020-SMEINST-2-2016-2017
SMEInst-10-2016-2017 Small business innovation research for Transport and Smart Cities Mobility