Reference : Demo: MAMBA: A Platform for Personalised Multimodal Trip Planning
Computer developments : Software
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/33307
Demo: MAMBA: A Platform for Personalised Multimodal Trip Planning
English
Faye, Sébastien [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Cantelmo, Guido [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Tahirou, Ibrahim [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Center for Research in Economic Analysis (CREA) >]
Derrmann, Thierry [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Viti, Francesco [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Engel, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
27-Nov-2017
[en] Multimodal mobility ; open trip planner ; road traffic simulation
[en] In recent years, multimodal transportation has become a challenging approach to route planning. Most existing planning systems usually rely on data sourced from different organisations, enabling the user to select a limited number of routing strategies. As part of the MAMBA project, developed in Luxembourg until 2017, we have been interested in the potential benefits of multimodal mobility systems. A key factor has been integrated into our studies: the need for a personalised experience at user level, whether when selecting the means of transport or describing user habits (e.g. route style, environment). In this context, we have developed a platform for planning personalised multimodal trips, broken down into the three main modules presented in this demonstration. More importantly, this platform has been developed to facilitate the daily mobility of people in Luxembourg, and considers datasets and characteristics that are specific to this region, which has an exceptionally high volume of daily commuting between Luxembourg and neighbouring countries.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Networking Research Group (NetLab)
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/10993/33307
FnR ; FNR5825301 > Thomas Engel > MAMBA > Multimodal Mobility Assistance > 01/04/2014 > 31/03/2017 > 2013

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