IMHOTEP: Predictive modeling for integrated multimodal airport operations

June 9th, 2020

London City Airport is one of the case studies for the IMHOTEP project

The airport of the future is expected to become a multimodal connection platform, creating the conditions for travellers to reach their destination via the most efficient and sustainable combination of modes and allowing the airport and its surrounding region to get the best out of their resources. The goal of IMHOTEP, which kicked off in June 2020, 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.


Project kick-off

Today is the kick-off meeting for the EU-funded project group studying Integrated Multimodal Airport Operations for Efficient Passenger Flow Management (IMHOTEP). Aimsun is leading WP5, and today our Global research Director, Jordi Casas, presents the remit, which is to develop and calibrate a modelling tool that simulates the flows of passengers accessing and egressing the airport facilities, reconstructing the door-to-kerb and kerb-to-door itineraries.

Project goals

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.

Learn more here.


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