URBY.SENSE - Urban mobility analysis and prediction for non-routine scenarios using digital footprints. PTDC/ECM-TRA/6803/2014
Description
In this project we propose to study individual’s mobility for mining non-routine (leisure, social, etc.) mobility patterns from multiple data sources. The following mobility patterns are of great interest: locations of significance, modes of transport, trajectory patterns and location-based activities for destination choice modelling. Data collected via ubiquitous devices and smart metering combined with data from social media platforms provides a range of new close-to-real-time information that can be combined with the data from more traditional sources (surveys, transport system records and static data) for urban efficient mobility planning and management. When considered in isolation, each of these data sources has gaps/missing observations, so the matching of multiple data sources can facilitate transport analysis, and enable operators to better tune – even on the fly – public transportation within cities with the aim of travelling at lower costs, faster and producing a smaller carbon footprint. ACKNOWLEDGEMENT: URBY.SENSE is co-financed by COMPETE 2020, Portugal 2020 - Operational Program for Competitiveness and Internationalization (POCI), European Union’s ERDF (European Regional Development Fund), and the Portuguese Foundation for Science and Technology (FCT).Researchers
Rui Gomes (coordinator)
Carlos Bento
Ana Cristina da Costa Oliveira Alves
Marco Veloso
Merkebe Getachew Demissie
Francisco Nibau Antunes
Carlos Bento
Ana Cristina da Costa Oliveira Alves
Marco Veloso
Merkebe Getachew Demissie
Francisco Nibau Antunes
Funded by
URBY.SENSE is co-financed by COMPETE 2020, Portugal 2020 - Operational Program for Competitiveness and Internationalization (POCI), European Union’s ERDF (European Regional Development Fund), and the Portuguese Foundation for Science and Technology (FCT).Partners
FCTUC, FEUPTotal budget
176 000,00 €Local budget
134 220,00 €Keywords
Digital footprints, Points of interest, Demand modeling, Destination choice modelingStart Date
2016-06-01End Date
2018-05-31Conference Articles
2019
(1 publication)2018
(3 publications)- Simões, J. and Gomes, R. and Alves, A. and Jorge Bernardino , "Urban Mobility: Mobile Crowdsensing Applications", in 9th International Symposium on Ambient Intelligence (ISAmI 2018), 2018
- Almeida, A. and Alves, A. and Gomes, R. , "Automatic POI Matching Using an Outlier Detection Based Approach", in The Seventeenth International Symposium on Intelligent Data Analysis , 2018
- Andrade, R. and Gonçalves, P. and Alves, A. , "Sensor-based Activity Recognition on Smartphones: A Simple Approach for Sharing Results with Other Applications", in 24th Portuguese Conference on Pattern Recognition, 2018
2017
(2 publications)- Gomes, R. and Demissie, M.G. and Francisco Antunes and Bento, C. and Alves, A. and Aguiar, A. , "URBY.SENSE - Urban mobility analysis and prediction for non-routine scenarios using digital footprints", in GET2017 - 14. Encontro Annual do Grupo de Estudos em Transportes, 2017
- Almeida, A. and Alves, A. , "Activity Recognition for Movement-Based Interaction in Mobile Games", in 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, Demo Panel, 2017