Paper published in a book (Scientific congresses, symposiums and conference proceedings)
A New Modelling Framework over Temporal Graphs for Collaborative Mobility Recommendation Systems
TOADER, Bogdan; MOAWAD, Assaad; FOUQUET, François et al.
2018In A New Modelling Framework over Temporal Graphs for Collaborative Mobility Recommendation Systems
Peer reviewed
 

Files


Full Text
PID4930955.pdf
Author preprint (689.72 kB)
Paper presented at the IEEE 20th International Conference on Intelligent Transportation Systems Yokohama, JAPAN. October 16 - 19, 2017
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Abstract :
[en] Over the years, collaborative mobility proved to be an important but challenging component of the smart cities paradigm. One of the biggest challenges in the smart mobility domain is the use of data science as an enabler for the implementation of large scale transportation sharing solutions. In particular, the next generation of Intelligent Transportation Systems (ITS) requires the combination of artificial intelligence and discrete simulations when exploring the effects of whatif decisions in complex scenarios with millions of users. In this paper, we address this challenge by presenting an innovative data modelling framework that can be used for ITS related problems. We demonstrate that the use of graphs and time series in multi-dimensional data models can satisfy the requirements of descriptive and predictive analytics in real-world case studies with massive amounts of continuously changing data. The features of the framework are explained in a case study of a complex collaborative mobility system that combines carpooling, carsharing and shared parking. The performance of the framework is tested with a large-scale dataset, performing machine learning tasks and interactive realtime data visualization. The outcome is a fast, efficient and complete architecture that can be easily deployed, tested and used for research as well in an industrial environment.
Disciplines :
Computer science
Author, co-author :
TOADER, Bogdan ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
MOAWAD, Assaad ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
FOUQUET, François ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
HARTMANN, Thomas ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Popescu, Mioara
VITI, Francesco  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
External co-authors :
yes
Language :
English
Title :
A New Modelling Framework over Temporal Graphs for Collaborative Mobility Recommendation Systems
Publication date :
15 March 2018
Event name :
2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)
Event date :
16-19 Oct. 2017
Audience :
International
Main work title :
A New Modelling Framework over Temporal Graphs for Collaborative Mobility Recommendation Systems
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
FnR Project :
FNR9220491 - Planning And Activity-travel Analytics For Future Mobility Optimisation In Belval, 2014 (15/03/2015-14/03/2019) - Bogdan Toader
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 09 November 2017

Statistics


Number of views
159 (33 by Unilu)
Number of downloads
4 (3 by Unilu)

Scopus citations®
 
7
Scopus citations®
without self-citations
4
WoS citations
 
0

Bibliography


Similar publications



Contact ORBilu