Research Projects      Multi-modal transport planning

Grant agreement ID

891287

Funded under

H2020-EU.3.4.7.

Start/finish dates

June 2020 – November 2022

Overall budget

€ 1 999 805

IMHOTEP

TRANSPORT

DATA ANALYSIS

AIRPORT ENGINEERING
Integrated Multimodal Airport Operations for Efficient Passenger Flow Management

An integrated transport system that is sustainable, safer and smarter is a major priority for the EU. The EU-funded IMHOTEP project will go beyond collaborative decision-making to propagate information from air transport systems to the public transport network for passenger benefit. The goal is to develop a concept of operations and a set of data analysis methods and tools that allow information sharing, common situational awareness and real-time collaborative decision-making between airports and ground transport stakeholders. A set of case studies at the Palma de Mallorca and the London City airports will be conducted to test these newly developed methods and tools.

Project Objective

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.

Consortium

Coordinator: Nommon Solutions and Technologies SL

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