Summary
The airport of the future is expected to become a multimodal connection platform, creating the conditions for travellers to reach their destination by the most efficient and sustainable combination of modes and allowing the airport and its surrounding region to make a better use of their resources. The goal of IMHOTEP is to develop a concept of operations and a set of data analysis methods, predictive models and decision support tools that allow information sharing, common situational awareness and real-time collaborative decision-making between airports and ground transport stakeholders. The specific objectives of the project are the following:
1. Propose a concept of operations for the extension of airport collaborative decision-making to ground transport stakeholders, including local transport authorities, traffic agencies, transport operators and mobility service providers.
2. Develop new data collection, analysis and fusion methods able to provide a comprehensive view of the door-to-door passenger trajectory through the coherent integration of different types of high resolution passenger movement data collected from personal mobile devices and digital sensors.
3. Develop predictive models and decision support tools able to anticipate the evolution of an airport’s passenger flows within the day of operations and assess the operational impact on both airport processes and the ground transport system, with the aim of enabling real-time collaborative decision-making between airports and ground transport stakeholders and enhanced passenger information services.
4. Validate the proposed concept and the newly developed methods and tools through a set of case studies conducted in direct collaboration with airports, local transport authorities and transport operators. The case studies will cover two airports with heterogeneous characteristics and serving different markets, namely the Palma de Mallorca and the London City airports.
1. Propose a concept of operations for the extension of airport collaborative decision-making to ground transport stakeholders, including local transport authorities, traffic agencies, transport operators and mobility service providers.
2. Develop new data collection, analysis and fusion methods able to provide a comprehensive view of the door-to-door passenger trajectory through the coherent integration of different types of high resolution passenger movement data collected from personal mobile devices and digital sensors.
3. Develop predictive models and decision support tools able to anticipate the evolution of an airport’s passenger flows within the day of operations and assess the operational impact on both airport processes and the ground transport system, with the aim of enabling real-time collaborative decision-making between airports and ground transport stakeholders and enhanced passenger information services.
4. Validate the proposed concept and the newly developed methods and tools through a set of case studies conducted in direct collaboration with airports, local transport authorities and transport operators. The case studies will cover two airports with heterogeneous characteristics and serving different markets, namely the Palma de Mallorca and the London City airports.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/891287 |
| Start date: | 01-06-2020 |
| End date: | 30-11-2022 |
| Total budget - Public funding: | 1 999 805,00 Euro - 1 999 805,00 Euro |
Cordis data
Original description
The airport of the future is expected to become a multimodal connection platform, creating the conditions for travellers to reach their destination by the most efficient and sustainable combination of modes and allowing the airport and its surrounding region to make a better use of their resources. The goal of IMHOTEP is to develop a concept of operations and a set of data analysis methods, predictive models and decision support tools that allow information sharing, common situational awareness and real-time collaborative decision-making between airports and ground transport stakeholders. The specific objectives of the project are the following:1. Propose a concept of operations for the extension of airport collaborative decision-making to ground transport stakeholders, including local transport authorities, traffic agencies, transport operators and mobility service providers.
2. Develop new data collection, analysis and fusion methods able to provide a comprehensive view of the door-to-door passenger trajectory through the coherent integration of different types of high resolution passenger movement data collected from personal mobile devices and digital sensors.
3. Develop predictive models and decision support tools able to anticipate the evolution of an airport’s passenger flows within the day of operations and assess the operational impact on both airport processes and the ground transport system, with the aim of enabling real-time collaborative decision-making between airports and ground transport stakeholders and enhanced passenger information services.
4. Validate the proposed concept and the newly developed methods and tools through a set of case studies conducted in direct collaboration with airports, local transport authorities and transport operators. The case studies will cover two airports with heterogeneous characteristics and serving different markets, namely the Palma de Mallorca and the London City airports.
Status
CLOSEDCall topic
SESAR-ER4-13-2019Update Date
27-10-2022
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Organisations
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| NOMMON SOLUTIONS AND TECHNOLOGIES SL (Coördinator)
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| AENA S.M.E. SA
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| AIMSUN SLU
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| Cranfield University
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| Empresa Municipal de Transports Urbans de Palma de Mallorca S.A
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| INGENIERIA DE SISTEMAS PARA LA DEFENSA DE ESPANA SA-SME MP
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| LONDON CITY AIRPORT LIMITED
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| STICHTING HOGESCHOOL VAN AMSTERDAM
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| TECHNISCHE UNIVERSITAET DRESDEN