MAMBA

/MAMBA
MAMBA 2018-06-14T13:10:00+00:00

MAMBA – Multimodal MoBility Assistance

MAMBA

Members

Marco Rinaldi

Marco Rinaldi

Research associate

Sébastien Faye

Sébastien Faye

Research associate

Thierry Derrmann

Thierry Derrmann

PhD Student

Guido Cantelmo

Postdoc Researcher

Project info

Duration February 2014 – January 2017
Funding FNR-CORE C13/IS/5825301.
Key areas Transportation Engineering, Network Modeling
Taking into account real time traffic conditions, the status of existing public transport services (e.g., buses, trains) and user preferences, we develop a personalised travel assistant that will proactively suggest the best transportation possibility to reach a desired destination while also balancing the load over the different transportation modes in the multimodal system.

The aim of this project is to explore and analyse the multimodal transportation network available in Luxembourg and its surroundings and propose new solutions to enhance individual mobility by making use of new end-user technologies such as smartphones.

In the past, gathering information on how to travel between different points of interest was a time-consuming and often inefficient process, as this information was not centralised and the status of services unknown. With growing transport demand and the expansion of the transportation network, it is crucial to better inform commuters about the existing alternatives. Nowadays in Luxembourg, most people prefer to use private vehicles as their main means of transportation. Consequently, the road network has become increasingly congested. Even now, its capacity limit is often reached during rush hour, and the situation becomes significantly worse in case of accidents or road works.

In MAMBA, we will propose a holistic mobility approach that combines different information sources that provide real time information on the status of public transport (e.g., buses and trains).

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Great success for Mamba
in CTS’18 and MFTS’18!